We are excited to announce the launch of our new tenant experience app, Glenstar Connect. Whether you are working in the office, or remote, this app will keep you connected to Schaumburg Corporate Center. Everything you need is now at your fingertips.
- Reservations The new way to book conference rooms showing real-time space availability
- Events See upcoming virtual or in-person events, register and set calendar reminders.
- Timely Information Get information surrounding COVID-19 and our efforts to keep you safe while at work.
- Cleaning Updates Get real-time cleaning updates for all common areas and restrooms throughout the property.
- Building News Our newsfeed keeps you apprised of the latest happenings around the building.
- Property Communications Transparent and relevant communications shared by the property management team.
- Employee Perks View the stats of our amenities, see specials and promotions, and more.
- The Marketplace Looking to sell, buy, or offer services? Find it all in the community marketplace.
Getting started is easy. Just download the free Glenstar Connect app in the App Store or on Google Play.


Effective data reports and management enable businesses to gain valuable insights, make informed decisions, and drive growth in today's data-driven world. However, collecting and analyzing a large amount of data can take time and effort. Fortunately, various software, tools, and organizational strategies are available to simplify the data management process.
In this article, we will explore in detail some recommendations for data management solutions and provide comprehensive tips on organizing and analyzing data effectively.
Data Management Solutions
To streamline your data management process, consider utilizing the following software or tools:
Data Visualization Tools
Platforms like Tableau, Power BI, and Google Data Studio offer robust data visualization capabilities. These tools allow you to create visually appealing and interactive reports, charts, and graphs. By presenting complex data comprehensibly and engagingly, data visualization tools facilitate better understanding and interpretation of insights by stakeholders.
For instance, Tableau offers a drag-and-drop interface that enables users to create visually stunning dashboards and reports. It provides interactive features like filtering, drill-down, and tooltips, allowing users to explore data from different perspectives and uncover meaningful patterns and trends.
Data Collection and Storage Systems
A reliable and efficient data collection system is essential for accurate and reliable data management. Tools such as Google Forms, Typeform, or SurveyMonkey provide user-friendly interfaces for creating surveys and collecting data from various sources. Cloud-based platforms like Google Cloud Storage, Amazon S3, or Microsoft Azure offer scalable and secure solutions for storing and organizing data. These platforms allow you to store large volumes of data and ensure data accessibility from anywhere while maintaining data security and integrity.
Data Analysis Software
Widely used programs like Microsoft Excel, Python, and R offer powerful capabilities for data analysis. Excel provides a familiar interface for manipulating and analyzing data, performing calculations, and generating basic reports. Python and R, on the other hand, are programming languages specifically designed for data analysis and statistical modeling. They offer extensive libraries and packages that enable users to clean, transform, and analyze data, conduct advanced statistical analyses, and build predictive models.
Customer Relationship Management (CRM) Systems
CRM systems such as Salesforce, HubSpot, or Zoho CRM are valuable tools for managing customer data effectively. These systems provide a centralized database for storing customer information, tracking interactions, and generating customer behavior and engagement reports. CRM systems enable businesses to understand their customers better, track their preferences and interactions, and tailor marketing strategies accordingly. Businesses can leverage CRM data to enhance customer experiences, improve customer retention, and drive sales growth.
Organizing and Analyzing Data Effectively
Once you have the right tools in place, consider the following comprehensive tips to organize and analyze your data more effectively:
- Define Clear Objectives: Before embarking on data collection and analysis, clearly define your goals and the questions you want your data to answer. A clear understanding of what you want to achieve will guide your data collection efforts and ensure that the collected data aligns with your objectives.
- Standardize Data: Consistent data formatting and labeling conventions are vital to ensure uniformity and comparability across different datasets. Standardizing data enables seamless data integration and accurate analysis and reduces the likelihood of errors or misinterpretations.
- Cleanse and Validate Data: Before diving into data analysis, cleaning and validating your data is crucial. Data cleansing involves identifying and correcting errors, eliminating inconsistencies, and handling missing values. Validating data ensures its accuracy and reliability by checking for outliers, verifying data integrity, and confirming adherence to predefined standards.
- Create Data Documentation: Maintaining comprehensive documentation of your data sources, variables, and transformations is essential for effective data management. This documentation is a reference for future analysis, ensures data transparency and reproducibility, and aids collaboration with other team members or stakeholders.
- Utilize Descriptive Statistics: Descriptive statistics provide an initial understanding of the basic characteristics of your data. Measures such as mean, median, mode, standard deviation, and percentiles summarize your data's central tendency, spread, and distribution.
- Apply Data Visualization: Visualizing data through charts, graphs, and dashboards is a powerful technique to explore, analyze, and communicate insights effectively. Data visualization enables the identification of patterns, trends, and relationships that might not be apparent in raw data.
- Conduct Advanced Analytics: Consider employing advanced analytical techniques to gain deeper insights and make data-driven predictions. Regression analysis, clustering, classification, time series analysis, and predictive modeling are advanced analytics methods that can be applied depending on your specific objectives and data characteristics.
- Regularly Monitor and Update: Data management is an ongoing process, and monitoring and updating your data collection and analysis practices is crucial. This involves periodically reviewing the data collection methods, evaluating the effectiveness of analysis models, and revisiting your objectives.
Effective data reports and management are essential for businesses to thrive in today's data-driven landscape. You can simplify collecting, organizing, and analyzing data by leveraging suitable software, tools, and organizational strategies.
Remember to define clear objectives, standardize data, clean and validate data, and utilize descriptive statistics and data visualization techniques. Regularly monitoring and updating your data processes will help maintain the accuracy, relevance, and effectiveness of your insights.
Embrace the power of data management and unlock its potential to drive your business forward.


Virtual Reality Grand Illusions
Virtual reality flopped in the 1990s. This time it’s different—apparently
YOUR correspondent stands, in a pleasingly impossible way, in orbit. The Earth is spread out beneath. A turn of the head reveals the blackness of deep space behind and above. In front is a table full of toys and brightly coloured building blocks, all of which are resolutely refusing to float away—for, despite his being in orbit, gravity’s pull does not seem to have vanished. A step towards the table brings that piece of furniture closer. A disembodied head appears, and pair of hands offer a toy ray-gun. “Go on, shoot me with it,” says the head, encouragingly. Squeezing the trigger produces a flash of light, and the head is suddenly a fraction of its former size, speaking in a comic Mickey-Mouse voice (despite the lack of air in low-Earth orbit) as the planet rotates majestically below.
It is, of course, an illusion, generated by a virtual-reality (VR) company called Oculus. The non-virtual reality is a journalist wearing a goofy-looking headset and clutching a pair of controllers in a black, soundproofed room at a video-gaming trade fair in Germany. But from the inside, it is strikingly convincing. The virtual world surrounds the user. A turn of the head shifts the view exactly as it should. Move the controllers and, in the simulation, a pair of virtual arms and hands moves with them. The disembodied head belongs to an Oculus employee in another room, who is sharing the same computer-generated environment. The blocks on the table obey the laws of physics, and can be stacked up and knocked down just like their real-world counterparts. The effect, in the words of one VR enthusiast, is “like sticking your head into a wormhole that leads to some entirely different place”.
The idea of virtual reality—of building a convincing computer-generated world to replace the boring old real one—has fuelled science fiction’s novels and movies since the 1950s. In the 1990s, as computers became commonplace, several big firms tried to build headsets as a first attempt to realise the idea. They failed. The feeble computers of the time could not produce a convincing experience. Users suffered from nausea and headaches, and the kit was expensive and bulky. Although VR found applications in a few bits of engineering and science, the consumer version was little more than a passing fad in the world’s video-game arcades. But now a string of companies are betting that information technology, both hardware and software, has advanced enough to have another go. They are convinced that their new, improved virtual reality will shake up everything from video-gaming to social media, and from films to education.
Oculus, based in Menlo Park, California, is the emblem of this VR revival—partly because it was the first to demonstrate a plausible headset, partly because of its fairy-tale rise to prominence. As a teenager the firm’s now-22-year-old founder, Palmer Luckey, used to collect old VR headsets and tinker with them in his parents’ garage. Frustrated by their limitations, he hacked together a headset of his own and in 2012 turned to Kickstarter, a crowdfunding website, hoping to raise $250,000. The idea was to distribute the headsets to other members of a small online community of VR-loving hackers.
One of these turned out to be John Carmack, a legendary video-game and graphics programmer, who made some modifications to one of Mr Luckey’s headsets and demonstrated it, in all its taped-together glory, at a gaming conference in 2012. Partly thanks to Mr Carmack’s evangelism (he is now Oculus’s chief technology officer), Mr Luckey’s Kickstarter project ended up raising $2.4m, and he dropped out of university to pursue the idea full-time. In 2014 his work attracted the interest of Mark Zuckerberg, the founder of Facebook, which bought Oculus for $2 billion.
Oculus plans to launch its “Rift” headset early next year. But it is not the only firm with such ambitions. Sony’s offering, called “Morpheus”, will go on sale at around the same time. “Vive”, a joint product of Valve, a big American computer-game firm, and HTC, a Taiwanese smartphone-maker, is planned to appear later this year. Other, lesser-known companies are working on similar products. Meanwhile, Google and Samsung are dipping their toes in the water, making cheap kits that let people turn their smartphones into bare-bones VR headsets.
Each firm hopes that its headset will become next year’s big consumer product for geeky early-adopters. So far none has announced prices, but a few hundred dollars for a full rig seems a good bet. That is well within the means of many people of the sort likely to be attracted to VR, and has led some to suggest it will be the Next Big Thing in consumer electronics. Digi-Capital, a consultancy in San Francisco, reckons the market for virtual reality could be worth $30 billion a year by 2020—if, of course, people actually want to buy it.
The reason that VR failed in the 1990s, it is widely believed, was that computers back then could not create graphics good enough to persuade users they were in a different world. Brendan Iribe, Oculus’s chief executive, disagrees. He reckons high-quality graphics are not the most important piece of the puzzle. “You have to remember,” he says, “that VR is, essentially, a hack on the human sensory system.” In the 1990s that hack was clumsy and inelegant. Nowadays it is much slicker. Three things, according to Mr Iribe, have made this possible. Better graphics, a big consequence of the extra computational power available these days, is certainly one of them. But better screens and improvements in the sensors needed to keep track of what a user is doing are more important.
If at first you don’t succeed...
Start with the screens. The headsets now in development have two tiny, high-resolution liquid-crystal displays (LCDs), one for each eye. A computer creates the scene to be displayed, and each screen shows part of it to the eye it is in front of. This is an old trick, called stereoscopy, which takes advantage of the fact that human brains create a perception of depth by noting differences between the images received by the left and right eyes. Displaying appropriately different images to each eye fools the brain into thinking it is looking at a fully three-dimensional world.
Making this illusion comfortable, though, is harder. It is true that people will happily tolerate poor-quality, badly animated images on television screens. (Standard TV is low resolution, using as few as 300,000 pixels per image, and is displayed at no more than 30 frames per second.) But a TV screen is merely part of a much wider environment. Things get more difficult when the picture on a screen fills a viewer’s entire visual field.
A low frame-rate, meaning things move choppily rather than smoothly, is one cause of “VR sickness”—a motion-sickness-like affliction that can make a user lose his lunch. And, because the screens on a VR headset are mounted so close to its wearer’s eyes, low resolutions leave the individual pixels visible, breaking the illusion that what is being seen is real.
To combat these effects, the headsets from Oculus, Sony and Valve will all show between 2m and 2.6m pixels per image, half for each eye, and those images will be updated between 90 and 120 times a second. Even this, though, is not enough to banish VR sickness entirely. In a standard LCD, each frame of a moving picture remains on screen until it is time to display the next one. It is then replaced as instantly as the technology will permit. For reasons not yet properly understood, but probably something to do with the speed with which the brain is processing the images in question, this contributes to the feeling of nausea. VR engineers have learned that inserting short-lived black frames, lasting about 2 milliseconds, between each frame of the picture, can help. Such blank frames are too short to be perceived consciously, but they make motion appear smoother, which helps to calm stomachs.
Satisfying all the requirements of effective VR is hard. One thing that has allowed the new generation of headsets to be created is the development of organic-light-emitting-diode screens. These have high resolution, can update themselves rapidly, can be made small and light enough for use in headsets and are cheap enough to be part of a consumer product. Another requirement for VR, however, is that the computer running the show must be aware of the position of a user’s head, so that it knows which part of the scene to display on the screens. VR headsets therefore employ a mixture of cameras and the sorts of miniaturised gyroscopes and accelerometers found in smartphones, to keep track of what that user is doing.
These sensors must report back to the computer hundreds of times a second, and the image must be updated to reflect the new information as rapidly as possible. Even a tiny amount of delay is enough to have users reaching for the barf bags. Such quick-reacting sensors were not readily available even a few years ago. Indeed, pioneers of VR such as Mr Carmack had to ask specifically that they be made. It is this tracking technology that has allowed firms to develop controllers which create for the user a pair of virtual hands that can be moved around almost as naturally as the real things. Tracking technology can even follow the user’s body, meaning that as he walks around in the real world, he also seems to walk around in the virtual one.
Ready player one
Many people, after having had VR explained to them but before trying it themselves, assume it will be a bit like a gigantic television set. But the illusion is more convincing than that. A well-built VR program creates a sense of presence—of actually being inside an alternative reality—that, though far from perfect, is much better than any TV can manage. And to do that, a VR headset must obscure a user’s view of the real world, which makes it more akin to a blindfold than a TV.
Nor do tricks from the world of TV and its cousin, video gaming, necessarily work in VR. Shaking the image on a screen to suggest an impact, for instance, is a common technique in video games. Experience has shown that a player does not need to feel himself shaken in order to believe an impact has happened. In the immersive environment of VR, however, the conflict between seeing an impact’s effects and not feeling them can provoke nausea.
Because VR is so new, no one is quite sure, in the matter of suspended disbelief, what does and does not work. Video-game developers, though, often have a better idea than most. And Oculus, Valve and Sony are all aiming their headsets at gamers, at least at first. Gamers tend to be open-minded and technologically astute, and many of the people making the headsets are gamers themselves.
Patrick O’Luanaigh, for example, is the boss of nDreams, a British games studio that is developing a VR adventure game called “The Assembly”. In the course of the game’s development, he and his team have learned a lot about what does and does not work in a virtual world. “The Assembly” begins with the player restrained on a trolley, so that all he can move is his head. “The idea is to ease players gently into the illusion,” says Mr O’Luanaigh. Cut-scenes, in which the camera cuts to a new angle or a different scene, are a staple of video-game storytelling. But they are a no-no in VR. “You generally don’t want to take camera control away from the player,” notes Jackie Tetley, a senior designer at nDreams, “because if you do, you’ve effectively sent their head zooming around the room.”
One striking effect of VR, says Mr O’Luanaigh, is that it boosts the emotional intensity of whatever a user is experiencing. Partly, that is because of the experience’s all-enveloping nature. But it may also be because audiences have not had time to become jaded and genre-savvy. Analogies with the early days of cinema abound. One much-discussed example is the (possibly apocryphal) story of a film called “Train Pulling into a Station”, made in 1895, which is said to have induced naive viewers to scramble out of their seats in fear of an impending collision.
SCE London Studio, a British games developer that has been experimenting with Sony’s VR headset, is playing on this heightened sensitivity in its products. One is a sedate deep-sea dive that culminates in a shark attack. Another is a game that opens with the user tied to a chair in an anonymous London warehouse, about to be “interrogated” with the help of a blowtorch. Even hardened gamers, according to Dave Ranyard, the studio’s director, report feeling more than a little nervous as the virtual torturer looms over them.
That the new generation of VR’s first software products will mostly be games, then, seems in little doubt. But the industry’s boosters point out that it could have plenty of other uses as well. One is film. All of the proposed headsets will come with cinema apps that put the user inside a virtual picture palace with an ordinary flat screen. But immersive films that place the viewer at the centre of the action, and which are made with special panoramic cameras, are possible too. One, called “Clouds over Sidra”, which chronicles life inside a refugee camp in Jordan, has already proved a hit online.
Pornography, an industry which has often been at the cutting edge of technology, is also pondering the possibilities of VR. Its practitioners, such as BaDoinkVR, are already making VR films intended for use with the cheap headsets that transform smartphones into low-spec VR machines. And, for those in need of other, less vigorous, forms of relaxation, VR may provide an alternative to noise-cancelling headphones when it comes to the matter of shutting out the outside world. nDreams, for example, makes a program called “Perfect Beach”, in which users can lounge in the sun on virtual versions of real tropical beaches. Glance to a radio on your left, and you can listen to music. Look at a book on a table to your right, and the program will open up e-books for you to read.
For those who prefer their pleasure shared, rather than solitary, VR might also improve social media, using the ability to create shared tele-reality of the sort described at the beginning of this article. Indeed, this is thought to be one reason why Facebook bought Oculus. And there is also talk of creating, once the industry is properly established, shared tele-real applications in education, news broadcasting and collaborative working. Architects, for instance, might use VR to plonk a planned new building into a realistic simulation of its surroundings. Museums might let visitors wander around a virtual version of an object that, in the real world, must be kept safe behind glass.
Curb your enthusiasm
That, at least, is what the boosters promise. Not everyone is quite so enthusiastic. The current generation of headsets, though impressive, is not perfect. Neither is the software. VR sickness is rarer than it was, but some programs still cause it. And taking full advantage of the technology may be tricky. Although modern VR systems can track their users as they walk around, few people will have enough space at home to create a personal version of the holodeck from “Star Trek”.
There are other, more fundamental criticisms, too. The effort of putting on the headset and adjusting it makes using one much more of a commitment than simply glancing at a screen. And the very immersiveness of the illusion makes VR feel less sociable than using a traditional flat screen with friends, where viewers can chat about what they are watching. (Though sometimes, that may be an advantage. For instance, long-distance passengers in cramped economy-class cabins might quite like the idea of blotting out their dreary reality in favour of an entertaining computer-generated one.)
Similarly, there is no getting around the fact that watching VR users turn their heads to stare at things that are not there, while pawing the air with the hand-held controllers, looks odd. None of the proposed headsets is what you would call stylish. Even the most ardent technophiles may be wary of kit that makes them look silly. And one lesson of consumer electronics is that just because something is possible—nifty, even—does not mean it will come to pass. Attempts to revive 3D movies, for example, have been less transformative than the initial hype suggested.
Still, there is an infectious sense of experimentation and ferment around the technology. Hardware-makers are already researching improvements, such as tracking the pupils of a user’s eyes (which would let him glance around without moving his head) and haptic feedback (which employs special gloves to provide the sensation of touch, alongside sound and vision). And even if full virtual reality proves too overwhelming either to produce or to consume, many of the lessons learned will transfer to the field’s cousin, augmented reality, in which computer-generated images are overlaid on the real world rather than replacing it completely.
Moreover, it is hard to overstate the improvement in the hardware, which, unlike the abortive attempts of the 1990s, does more or less exactly what it promises. Virtual reality is still far from the verisimilitude imagined by novelists and screen writers. Like the smartphone, which went through many failed iterations before Apple hit on a winning formula with the iPhone, it is hard to tell which (if any) of the forthcoming headsets will take off. But it is also hard to believe that nothing of interest will be done with it. This time, for virtual reality, actual reality beckons.
From the print edition: The Economist: Science and technology


The release of videmic published on Google Play and the App Store does not include location-based contact tracing.
With the videmic app, organizers of film and music festivals or conferences can produce live recordings of keynotes, panels, or performances themselves with the phone and transmit them to the attendees’ phones in their channel in videmic during the event. Without setup for a Wi-Fi infrastructure for the organizer! Without data consumption for the visitors!
Location-based Contact Tracing
Using location-based contact tracing, videmic can help organizers of film and music festivals to automatically trace infection chains of the corona virus without storing any personal data on centralized servers. Thus, attendees lists will be automatically maintained and stored decentral. Learn more…
Offline and Social
The videmic app includes an offline video player that lets festival participants re-watch the live recordings everywhere. Without Internet! In addition, they can post a 30-second teaser of the live recordings on Facebook and Instagram or send it as a WhatsApp to friends to draw their attention to the festival and the availability of these live recordings in the videmic app.
Increase in Ticket Sales
videmic enables organizers of festivals and conferences to provide the schedule and supplementary videos (e.g. trailers, case studies) in their channel in the videmic app before the event. Visitors of the festival or the conference can plan their participation individually with a favorites list. videmic generates additional leads for ticket sales via the mobile-only channel by linking to the corresponding website or the app of the online ticket shop.
videmic can transmit trailers, making-ofs, case studies and promotional videos from sponsors at film or music festivals as well as at conferences to a channel in the videmic app on the phones of the attendees. These videos do not have to be available on a server for download via the internet. This means that people only receive these video clips when they visit the festival or conference. With this proximity marketing, videmic increases the popularity of an event and enables the organizers to generate additional advertising revenue.


When taken together, this means that web access on mobile devices generates about half the traffic that is found through a traditional desktop environment. With more and more people surfing the web, connecting on social media and shopping online through their smartphones and tablets, it has become absolutely imperative that mobile phone affiliate networks enter into the discussion for any success Internet marketer.
- Naughty Whispers;
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- TESTMYOFFERS — best service for mobile affiliate marketing | HEREᐔ.
WOW TRK is dedicated to this growing trend and aims to empower its affiliates to tap into advertising on mobile phones and tablets. Mobile phone affiliate networks like WOW TRK play a major role in this growth, as vendors and advertisers are increasingly looking to mobile for customer acquisition. WOW TRK boasts hundreds of mobile-optimized affiliate offers that are applicable to many countries around the world and approach a broad range of industry verticals.
With any social media marketing, not just mobile, it is important to be visible and active on the platforms your customers use.
Mobile usage stats
And for many businesses, especially fashion and apparel retailers, the top platform is Instagram. There they can get more information and — more importantly — buy any of the products they are interested in. The potential is for you to generate higher conversions from your Instagram posts, without customers having to first search through your online store for something they saw on Instagram.
Click To Tweet. The survey was compiled using responses from 53, people across 31 countries and five continents. Unsurprisingly, the survey found that more than 90 percent of the survey participants report owning a mobile phone, with more than 80 percent owning a smartphone. The same survey reveals that more than a third of consumers use their mobile phones within five minutes of waking up, and nearly half of them use their mobile phones for one reason or another at night.
Of course, this is not permission for you to send them mobile marketing messages at any time but serves to illustrate just how important mobile phones have become to consumers.
And while it would be expected that most mobile phone owners use or check their phone at least once every day, more than 20 percent of users admit to using their mobile phone 50 or more times a day — roughly once every 20 minutes. If we bounce back to our desire to reach the right consumer, in the right place, and at the right time, no other marketing platform comes close to competing with mobile phones.
Mobile Affiliate Marketing & Network – Adwool.com
More than 20 years have passed since the first text message was sent, and 18 years since the first use of text messaging for marketing purposes. But while many new channels for mobile marketing have emerged in that time, text messaging remains popular. An informal survey by Esendex at the start of found that more than 70 percent of respondents claim to read every text message they receive, with the highest rate in most countries being among users aged 18 to 34 years old.
Perhaps the top reason for all businesses to consider mobile marketing — aside from it being affordable, and therefore accessible to even small business owners — is the fact that it offers multiple channels for reaching your customers. One device, but more than one way to reach them and market to them. In addition to being able to send out marketing text messages, you can use a mobile app with push notifications, create a responsive website that is perfectly accessible on a website, benefit from local search, use email marketing, use social media platforms, and chat apps.
You are able to reach your customers wherever they are, and they — in turn — are able to reach you wherever they are. As with any marketing activity, mobile marketing begins with understanding your audience. However, you will need to do additional research to fill out each persona with:. How you share content and marketing messages via a mobile app — and push notifications — will be quite different to doing it via text messaging, or even through social media, email messages, and your website.
Your goals for mobile marketing need to feed into the goals for your business, but the primary goals for the business are achieved through smaller goals that are influenced by your marketing efforts. Your primary goal could be to grow sales by 6 percent, but to achieve that you may have identified that:. It is the smaller goals that you will link to your mobile marketing efforts, since by achieving them you will be closer to achieving your primary goals. And by linking your mobile marketing efforts to smaller goals, you are also in a better position to measure the success of them, and their influence on your primary goals.
CPA marketing definition & guide | Orangear
But when deciding what your goals for mobile marketing are going to be, you need to also consider what you already have in place:. Now, for each mobile marketing activity you already have in place, consider how well it is performing — is it achieving the results you wanted, and if so, are there opportunities to improve it?
Instead focus first on establishing if they are the right activities and goals for your business and audience, and then working on them so that they do deliver the results you want. But in a digital world there are many different key performance indicators KPIs to consider and trying to track all of them is not an option for small businesses.
The previous point had you setting goals for your mobile marketing activities, and these will decide which KPIs you track. Primary KPIs would frequently include the following:. These are just the most obvious KPIs you should be monitoring, but you would need to research other mobile marketing KPIs to identify other metrics you believe you should be monitoring, which will vary according to your industry, and the mobile marketing activities you are using. Once you have researched your audience, established the mobile marketing activities you are going to focus on, established goals for each of the mobile marketing channels or activities you are going to follow, and decided on the KPIs you are going to use for each, you need to finally implement your strategy, measure its impact on your business, and continuously optimise it.
Together with the increasing usage of smartphones, the travel of mobile marketing evolve into advance strategies from simple ones. One of them is mobile affiliate marketing.
- Reciprocity (Tim Ryan Series # 2).
- Don't have an account?.
- How to choose the perfect mobile CPA offer.
In short, it is performance-based marketing. So, the broad definition would be the process of using offers and tools to target mobile users via affiliate channel. Basically, you can make money by sending traffic or lead to relevant offers. But, you need to take several steps for reaching this target. It would be better to tell in advance that it could take months to build your own launch and optimization system for a source. So, be patient!
The things you should do are;.
Mobile affiliate marketing guide: everything you need to know in 12222
Like any marketing strategy, it has several pros and cons, or benefits and burdens. Massive Growth. Mobile devices account for the half of organic search engines traffic approximately. Growing mobile population makes it preferable and profitable for you.


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Microsoft training grants proficiency in Microsoft products and technology, helping learners get the career-ready skills and industry-recognized certifications they need to succeed in the tech-driven economy. It also allows professionals to to get up to speed on the essential tools that many organizations value today.
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In summer 2020 I took advantage of Google’s free course on the Fundamentals of Digital Marketing as a way of up skilling myself. A free certificate at the end and being backed by the Open University and The Internet Advertising Bureau, the industry body for digital advertising in the UK was very attractive.
The course is meant to take 40 hours and has 26 individual modules. Each module is broken up into smaller parts accompanied by multiple videos and short quizzes at the end. At the end of each module is a test which you need to pass to carry on to the next module. Finally, after completing all module you have a final exam where you must score 80% on to pass.
The main topics covered were:
- Search Engine Optimisation (SEO)
- Search Engine Marketing (SEM)
- Content marketing
- Local Advertising
- Display Ads
- Web and data analysis
- Email Marketing
- Global marketing and opportunities
What I found useful
Having a qualification which is from Google and certified by a University and an industry body certainly adds a component of social proof. A psychological term which in this case means the information comes from an expert perspective which lends it credibility. Both showing off the certificate as a credential but also makes you feel like you’re spending your time on something worthwhile. I mean, it’s not a course from a random blog, now is it?
Google is accurate on the ‘fundamentals’ part, it gives a good and brief overview of different marketing channels. It gives a good horizon scan of the current industry while also giving you further reading and links. Admittedly to most of Google’s other services and products.
Three small things I found useful was that it tracked how far you were with module completed while working at your own pace. Firstly, on your rate of completing modules it was easy to ballpark how long it would take me overall instead of relying on the 40 hours recommendation. Secondly you could speed up each video when the speaker was a bit slow. Lastly, under each video was a correctly transcript. These sound like minor things but I’ve taken some dreadful online courses in the past.
The bottom line
Is it worth it? Yes. It’s free!
If you want to dabble and gain an overview of digital marketing I would strongly recommend the course. If you are trying to gain employment in the industry I would use this as a great starting point while creating an online presence and portfolio.
Throughout writing blog posts, creating this website and even writing this article I am reminded of what I learnt. From the importance of content marketing, keyword SEO use and optimising content for low internet speed and devices.


40 pre animated 3D shapes in Alembic format, useful for motion graphics design or Sci-Fi UI concept designing (all major 3D animation apps can read these files).
Animated preview here (https://vimeo.com/435759641)
Note: Alembic motion files do not provide access to original 3D app specific animation controllers, rather it provides backed/cached motions. Alembic objects are very easy to work with, just place them in the scene and set timing. Also keep in mind an Alembic object gets handled in the scene as any regular 3D object, meaning you can apply additional modifiers or motion controllers to it. Alembic settings allows you to set timing of the animation (start/finish) or set custom motion curve for slower/faster or ping pong playback.
This package contains following items:
- One 3ds max 2016 file containing the 40 Alembic items (no render settings)
- One Blender 2.8 file containing the 40 Alembic items (setup for Eevee)
- One Alembic file containing the 40 items
- One folder containing the 40 separate Alembic items
- One bonus folder containing 4 additional animated EQ bars
- One folder containing some basic textures (Color, Emissive mask and PSD layers)
Feel free to ask additional questions should you have any, at (email@example.com)
View Licensing terms here https://iteratecgi.com/pages/license-agreement


This page contains privacy information for the services Shattered Pixel offers.
Shattered Pixel Dungeon
Effective: June 28th, 2021
Effective: June 20th, 2021
ShatteredPixel.com uses Google Analytics to track and report data about website visitors.
Shattered Pixel, or I refers to the administrator of this website and sole proprietor of Shattered Pixel: Evan Debenham.
What Data is Collected?
When a page on ShatteredPixel.com is viewed, Google Analytics records information such as:
- What page on ShatteredPixel.com is being viewed.
- How the user reached that page, if the page was reached via an external link.
- User device info such as web browser, screen size, and operating system.
- User language and coarse geolocation.
- User session info, so that multiple consecutive pageviews can be grouped together into one session.
Google’s processing of this data is governed by their Privacy Policies.
Is this Data Personally Identifiable?
No. Shattered Pixel does not collect any personally identifiable information on ShatteredPixel.com via Google Analytics.
It should be noted that Google Analytics normally collects data which would be considered personally identifiable, such as unique identifiers or full IP addresses. Shattered Pixel has configured Google Analytics to reduce or remove this functionality:
- IP addresses are anonymized, so that specific user location cannot be determined.
- Collection of advertising ID or any other unique identifiers is disabled.
- Cookies are session-based and are not used to track users over multiple visits to ShatteredPixel.com. Google analytics cookies persist for 2 years by default but they are configured on ShatteredPixel.com to expire when the website is closed.
How is this data used?
Shattered Pixel uses this data to better understand readership of ShatteredPixel.com. This includes how many people are visiting the site, where those visitors are reaching the site from, what type of devices those readers are using, and how long they are reading the site for. This information helps Shattered Pixel improve the quality of the website and find better ways to encourage more readership.


- This event has passed.
Rube Goldberg Build Day
February 27 @ 6:30 pm - 7:15 pmFree
For ages 11- 17. Remember the game Mouse Trap? In the spirit of Rube Goldberg, a cartoonist and inventor known for his comically complicated machines, we will be creating crazy contraptions with the end goal of placing coins so that they fall into a container. Come help us build and test a wacky device with as many unnecessary steps as possible. Our contraption will be demonstrated during Teen Tech Week in March!


Equifax, one of the major credit reporting agencies, released information on September 7, 2017 that a cyber security incident may have potentially impacted approximately 143 million U.S. consumers. Based on the company’s investigation, the unauthorized access occurred from mid-May through July 2017. The company has found no evidence of unauthorized activity on Equifax’s core consumer or commercial credit reporting databases.
The information accessed primarily includes names, Social Security numbers, birth dates, addresses and, in some instances, driver’s license numbers. In addition, credit card numbers for approximately 209,000 U.S. consumers, and certain dispute documents with personal identifying information for approximately 182,000 U.S. customers, were accessed.
Although this is not the largest breach that has ever occurred, it is the largest in respect to the severity of personal information taken. It has been reported that 44% of Americans are affected. At this time, it’s unknown who was behind the breach, if taken by criminals, the potential for the personal information to be sold and resold on the dark web is a real threat.
Please see the Equifax website for more details and ways to protect yourself. https://www.equifaxsecurity2017.com/.
The FBI RECOMMENDS THE FOLLOWING:
- Ensure anti-virus software is up-to-date
- Implement a data back-up and recovery plan to maintain copies of sensitive or proprietary data in a separate and secure location. Backup copies of sensitive data should not be readily accessible from local networks
- Enable automated patches for your operating system and web browser
Remember that criminals will use an email, telephone messages (phishing) or text messages on cell phones to trick recipients into disclosing personal and financial data. Some phishing attempts ask e-mail or text recipients to respond with personal information; and others include links to what appear to be familiar Web sites but are really spoofed copies. Once the user clicks on the link to the spoofed site, all future online activity gets funneled through the phisher’s system, giving him or her access to any account numbers and passwords the user enters online. It can’t be stressed enough that you should NEVER respond to an e-mail asking you to verify or update your personal information, NEVER click on links in unsolicited e-mail that you receive, delete any unsolicited e-mails—don’t even open them! Protect your passwords. Never write them down or enter them online unless YOU initiated the transaction. NEVER give out your personal or financial information on the phone or online unless you initiated contact. CHECK your credit report at least once annually or sign-up for weekly or monthly alerts through credit management agencies. At home, use spam blockers, firewalls, virus protection, and adware & malware destroyers. Update your Operating System whenever security patches are available.
You can also visit www.identitytheft.gov/Info-Lost-or-Stolen to learn more about protecting yourself after a data breach. Provided by LCS Helping Credit Unions Compete


Hi! i’m stefano.
I’m a product designer who strategically strives to find those “Aha!” moments that solve complex problems by creating simple and unexpected solutions. I’m currently working at Inria Chile designing solutions to create impact on chilean society and it’s technological ecosystem.
When I’m not working I like to feed my passion for retro gaming, 3D printing, music and gadgets but I’m also looking for the next hobby video project or other side-projects that rekindle my entrepreneurial spirit.
Let’s get in touch
Send me a message if you want to discuss about design, entrepreneurship, the latest gadgets or just about anything, I’ll get back to you right away.


Shark Attack! Deep Sea Diver
* New "FREE" First Person Shooter Fantasy Adventure Game
* iPhone / iPad / iPod Touch Universal Game with iCloud Support for Score and Selfie Sharing **
* Have Fun in only 10 Seconds of Game Play!
* Play with One-Hand. Great for Trains, Busses, Check Out Lines
* Fire Weapon using 1 to 5 Fingers
* Hold iPhone / iPad / iPod Touch Flat, Vertical or Upside Down to Play
* Become the Main Character by Taking a Selfie
* Fast 60 frames per second Graphics
* 16-bit Stereo Sound
* Now Available WORLDWIDE!
- Australian English (Australia)
- Brazilian Portuguese (Brazil)
- Canadian English (Canada)
- Canadian French (Canada)
- Danish (Denmark)
- Dutch (Holland)
- English (USA)
- Finnish (Finland)
- French (France)
- German (Germany)
- Greek (Greece)
- Indonesian (Indonesia)
- Italian (Italy)
- Japanese (Japan)
- Korean (Korea)
- Malay (Malaysia)
- Mexican Spanish (Mexico)
- Norwegian (Norway)
- Polish (Poland)
- Portuguese (Portugal)
- Russian (Russia)
- Simplified Chinese (China)
- Spanish (Spain)
- Swedish (Sweden)
- Thai (Thailand)
- Traditional Chinese
- Turkish (Turkey)
- UK English (England, Ireland, Scotland)
- Vietnamese (Vietnam)
* Supports iOS 7, iOS 8, iOS 9 and newer
* Supports iPhone 4, iPhone 4s, iPhone 5, iPhone 5s, iPhone 6, iPhone 6 Plus, iPhone 6s, iPhone 6s Plus and newer
* Supports iPad 2, iPad 3, iPad 4, iPad Air, iPad Air 2 and newer
* Supports iPad mini, iPad mini 2, iPad mini 3 and newer
* Supports iPod Touch 5th, 6th Generation and newer
** Note: you must have an active Apple iCloud account and all iOS devices must be on a WiFi or cellular network for Score and Selfie sharing to work. To enable iCloud on each iDevice, go to: Settings > iCloud, turn "ON" option "Keychain" & turn "ON" option "Document & Data". Internet access required.
Requires iOS 7.0 or later. Compatible with iPhone, iPad, and iPod touch.
Shark Attack! Deep Sea Diver is a free software application from the Action subcategory, part of the Games & Entertainment category.
The app is currently available in English and it was last updated on 2014-08-28. The program can be installed on iOS.
Shark Attack! Deep Sea Diver (version 4.00) has a file size of 35.65 MB and is available for download from our website.
Just click the green Download button above to start. Until now the program was downloaded 2 times.
We already checked that the download link to be safe, however for your own protection we recommend that you scan the downloaded software with your antivirus.


With numerous eTMF software options available in the market, selecting the right system for your organization can be a daunting task. In this article, we will walk you through the key considerations and features to look for when choosing an eTMF system.
What is an eTMF System?
An eTMF system is a digital solution designed to facilitate the creation, organization, storage, and management of the Trial Master File, which comprises all essential documents related to a clinical trial. It serves as a centralized repository that enables efficient document exchange, collaboration, version control, and audit trail capabilities. eTMF systems offer various features and functionalities to support trial sponsors, CROs, and other stakeholders in maintaining compliance with regulatory requirements, ensuring data integrity, and facilitating inspection readiness.
What is the difference between eTMF and CTMS?
While both eTMF and CTMS are integral components of clinical trial management, they serve distinct purposes. The eTMF focuses specifically on document management and regulatory compliance, housing essential trial-related documents in a structured and organized manner. On the other hand, CTMS (Clinical Trial Management System) encompasses a broader scope, including operational and administrative functionalities such as site selection, patient recruitment, monitoring visits, and financial management. While there may be some overlap in functionality, it's important to recognize that eTMF and CTMS serve different purposes within the clinical trial ecosystem.
Do sponsors really need their own eTMF?
There are circumstances in which bringing TMF management in-house may be advantageous for an organization. While outsourcing TMF management to a CRO or a specialized vendor may offer convenience, there are potential benefits to consider by internalizing this function. Factors such as the volume and complexity of trials, the need for greater control over data management and security, and the desire for consistent processes and oversight across studies can drive the decision to bring TMF management in-house. By doing so, sponsors can establish standardized procedures, ensure compliance with internal policies, and have direct control over their trial documentation.
If and when you're ready to move your TMF, you'll want to make sure you have a clear plan for migration. Learn more about TMF transfers via our whitepaper below.
Features to Look for in an eTMF
When selecting an eTMF system, several key features should be considered:
- Document Management: The system should offer comprehensive capabilities for document organization, version control, metadata management, and efficient search functionalities. The ability to capture and store diverse document types, such as PDFs, Word documents, and scanned images, is crucial.
- Collaboration and Workflow: Look for features that facilitate efficient collaboration between stakeholders, allowing real-time document sharing, commenting, and task assignments. Workflow management capabilities should enable the tracking and monitoring of document review and approval processes.
- Compliance and Audit Trail: The eTMF system should provide robust audit trail functionalities, ensuring that all actions, modifications, and access to documents are logged and traceable. Compliance with regulatory guidelines, such as 21 CFR Part 11, should be supported.
- Integration Capabilities: Consider the system's ability to integrate with other existing clinical trial software, such as CTMS or electronic data capture (EDC) systems, to streamline data exchange and enhance overall trial management efficiency.
- Security and Data Privacy: Look for robust security measures, including user access controls, encryption, and data backup protocols. Compliance with data privacy regulations, such as GDPR, is essential.
- User-Friendly Interface: Very simply, can you find stuff?! The system should have an intuitive and user-friendly interface, allowing easy navigation, document retrieval, and efficient data entry. Training and support resources should be available to assist users in maximizing the system's potential.
What is the best eTMF system?
Generally speaking, the "best" eTMF system is the one that is best suited to your goals, workflows, and resources. You don't want to purchase a system that has far more functionality that you actually need, as that will make it harder to learn and use. You also need to consider the vendor as well as the software. You want to find a vendor that feels like a partner - who understands what you are trying to achieve, how you work, and can help you build the roadmap to get there.
Questions to ask an eTMF vendor
Whichever systems you consider, vet them thoroughly! Here are several questions you should be sure to ask before signing on the dotted line.
Do you offer a trial period?
Always try before you buy! You want to be sure the software offers the functionality you need. Not to mention, the trial period gives you the opportunity to see what it's like working with their support team.
What will it cost all-in?
eTMF software can be expensive! Be careful to probe around the full cost structure. For example, do they charge per study? Do they charge based on number of sites? GB of data stored? What fees do they include? Is there a platform fee? Validation fee? Implementation fee? Will the cost increase after the first year? Is there a cancellation fee if you choose to leave?
How do I get support?
Don't just ask about this - test it! Do you get responses back quickly to your questions? How robust is their knowledge base? Is it easy to reach a real person? When study deadlines are approaching, you want to be sure you have help available. And going back to the question of cost - is there a support charge?
What is your update process?
It's important that all system updates are fully validated and fully secure. Ask questions about the documentation that is provided with each update, how often updates occur, and what their history of downtime is.
What security features do you offer?
Security is paramount! Loop in your head of IT to ensure that your vendor offers the level of security required to store your data. You'll want to make sure the system is validated, that they allow Single Sign On, that they are Part 11 compliant, etc.
Selecting the right eTMF system is a critical decision that can significantly impact the efficiency and compliance of clinical trial operations. By understanding the features to look for in an eTMF system, distinguishing it from CTMS, and considering the circumstances that warrant bringing TMF management in-house, sponsors can make informed choices. Remember, thorough evaluation and alignment with regulatory guidelines and internal requirements are key to selecting an eTMF system that optimizes trial documentation management and streamlines compliance efforts.


New 7T software customer!
On August 2, 2023, Mr. Yoshi Saito, managing director of Fuji Trading (Marine) BV and Mr. Cor Lindeboom, general manager of 7T software signed the agreement.
Fuji Trading (Marine) BV in Rotterdam, is a branch of Fuji Trading Co., Ltd. Group, a world leader in marine supply (stores, provisions and spare parts) and marine engineering, consisting of a worldwide network of offices and subsidiaries. Established in 15 countries with 21 offices and 5 subsidiaries.
The Fuji Trading (Marine) branch in Rotterdam will work with 7T ERP and a wide range of 7T software automation solutions. Together we are committed to improving furter more the efficiency of business processes and the effectiveness of business operations.
We are excited for the future of this partnership and can't wait to be working together with Fuji Trading Marine Rotterdam.


You’ve convinced Management and your colleagues your company should implement Continuous Integration for databases, and now you are ready to actually set this up for your production databases. Where to start? How do you tackle this? In this series I’ll explain how I did it.
Our set of environments
We have two DTAP (Development, Test, Acceptance and Production) streets, one for our backend databases and one for our manufacturing database. They are in two different locations and serve different purposes. For both, shared development was done on databases running in our development environment (a SQL Server instance we call D-DTAP) and change and rollback scripts were manually crafted by developers. These changes were promoted to our test environment (a SQL Server instance we call T-DTAP) for testing and then were run in our (user) acceptance environment (you guessed it – A-DTAP) by our Release Manager before getting deployed to production.
Each DTAP street is used by one team who have different approaches and processes in developing their software and their databases. I started implementing Continuous Integration for databases for one of the teams.
Our Source Control System
We use SVN and GitHub as source control systems for our applications and for our database change scripts, but we decided to use just SVN as the source control system for our databases. For now. Since we can also source control static data, which can be sensitive, we’d rather have that data not in a public cloud. And, as we already source controlled our change scripts in SVN, we figured the transition to source controlling our databases using Redgate’s SQL Source Control would go more smoothly.
Our Build Server a.k.a. CI Server
Our Build Server, which from now on I am going to call our CI Server, is a TeamCity server with 8 build agents running on their own servers. The reason I am now going to name this a CI Server instead of a Build Server is that it is going to do much more besides just building in the future (for example, automated testing.)
Our Deployment Server
We use Octopus Deploy as our deployment tool for our (automated) deployments. With this tool we can deploy releases to the different environments with the push of a button. We already used this tool for deploying releases of our applications, but now we are also able to use the same method for databases with Redgate’s DLM Automation Suite.
Where to start
My developer colleagues and I agreed to first source control the database schemas and set up Continuous Integration for them to make the transition go more smoothly. Source controlling static data would be done at a later stage, as well as providing sample data, taking care of environment-specific data and how to handle the same database in different geographical locations. We also agreed to start with the smallest and least complex databases to get us started and build up experience as quickly as possible.
Now the stage is set, it has to be prepared to make Continuous Integration for databases possible. In the next post I’ll show you how I did that.
- Build on your existing environment (if you have one)
- Start simple, only source control the database schema the first time (if you haven’t already source controlled your databases)
- Start simple, pick the least complex database to source control and to setup for Continuous Integration


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Please note: Gaming may have threats. Ensure to gamble properly and within your restrictions.


Looking to lower application costs and scale your business? Our architects have over a decade of cloud solutioning experience.
We design and build cloud-first solutions or migrating existing applications to leverage cloud scale. Our team will mitigate your risk and ensure your cloud investments yield results.
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We focus on a holistic view of your users’ needs. We blend beautiful design with simple, usable interfaces. We create designs that are relevant, functional, user friendly and that meet the aesthetic and branding needs of any organization.
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Following the announcement of the latest lockdown, the government has launched a scheme to temporarily increase data allowances for mobile phone users on certain networks. This is to help families whose children are having difficulty accessing remote online teaching and learning.
You may be able to get help if you do not have fixed broadband at home or cannot afford additional data for your devices. Unfortunately, the scheme only applies to the following networks:
We have been told other network providers may join the scheme at a later stage.
If you think you would benefit from this scheme and that you qualify, you will need to apply through the school. The Department for Education will not accept requests from individual parents or carers.
To apply on your behalf, please email the school office firstname.lastname@example.org) with
Once we have submitted this information on your behalf, we will not receive updates on the progress of your request. You will be contacted by your network provider directly. Each provider will vary in how quickly they process requests. Once a network provider has processed a data increase, they’ll send a text message to the account holder.


All notes in this post apply to gmond and gmetad versions 3.5.0 and the ganglia-webfrontend version 3.3.5
The cluster starts out with gmond installed everywhere (configured for unicast) sending all data to the monitoring host (usually also running nagios). gmond listens there and collects all the metrics for my single cluster. gmetad runs there and writes this data to local disk.
Soon I outgrow a single cluster and so spin up multiple gmond processes, each configured to listen on a separate port. gmetad lists each gmond as a separate data_source and I have multiple clusters in the web UI.
Eventually the monitoring host becomes a bit overloaded and so ganglia (both gmetad and gmond) move to a separate host, leaving nagios and all the other cruft there to itself.
The next step is moving the gmond collector processes to their own host. At this point I usually set up two gmond collector servers for redundancy. Each server has the same configuration - one gmond process per ganglia cluster, listening on a separate port. The ganglia web UI and gmetad live on the same server and both gmond collectors are listed on each data_source line. I also create two gmetad/webui hosts at this point, also for redundancy, both to preserve data if the disk dies on one but also to separate out the one nagios talks to from the one I use as the web UI. Distributing traffic in this way helps the web UI stay snappy for people while letting nagios hammer the other.
As the grid grows and the number of metrics increase, local disk on the gmetad / webui host starts to fail to keep up. I think this is around 70k metrics, but it depends on your disk. The solution at this point is either to install rrdcached or switch to a ramdisk. rrdcached will get you a long ways, but I think over ~350k metrics, local disk can't even keep up with rrdcached's write load. There are undoubtedly knobs to tweak to push rrdcached much further, but just using a ramdisk works pretty well.
All of these steps successfully scale the ganglia core very well. With redundant gmond processes, redundant gmetads, and some sort of ram buffer or disk for the RRDs, you can get up to ~300k metrics pretty easily.
On to the meat of this post.
Somewhere between 250k and 350k metrics, the ganglia web UI started to slow down dramatically. By the time we got to ~330k, it would take over 2 minutes to load the front page. gmetad claimed it was using ~130% CPU (over 100% because it's multithreaded and using multiple cores) but there was still plenty of CPU available. Because it was on a ramdisk, there was no iowait slowing everything down. It wasn't clear where the bottleneck was.
Individual host pages would load relatively quickly (2-3s). Cluster views would load acceptably (~10s) but the front page and the Views page were unusable.
Vladimir suggested that even though there was CPU available, the sheer number of RRDs gmetad was managing was making it slow to respond to requests to its ports. He suggested running two gmetad processes, one configured to write out RRDs and the other available for the web UI.
A brief interlude - gmetad has two duties: manage the RRDs and respond to queries about the current status of the grid, clusters, and individual hosts. It has two TCP ports it listens to, one that gives a dump of all current state and the other which provides an interactive port for querying about specific resources. The web UI queries gmetad for the current values of metrics and to determine which hosts are up. It then reads the RRDs for the up nodes and clusters to present to the end user.
By separating the two duties gmetad performs into two separate processes, there is no longer contention between managing the files on disk and responding to the web ui. Making this separation dropped the time needed to load the front page from 2m45s to 0m02s.
Here are the changes necessary to run two gmetad processes in this configuration.
- duplicate gmetad.conf (eg gmetad-norrds.conf) and make the following changes:
- use a new xml_port and interactive_port. I use 8661 and 8662 to mirror the defaults 8651 and 8652
- specify a new rrd_rootdir. The dir must exist and be owned by the ganglia user (or whatever user runs gmetad) but it will remain empty. (this isn't strictly necessary but is a good protection against mistakes.)
- add the option 'write_rrds off'
- duplicate the start script or use your config management to make sure two gmetad processes are running, one with each config file
- edit /etc/ganglia-webfrontend/conf.php (or your local config file) and override the port used to talk to gmetad; specify 8661 instead of the default.
p.s. There are some claims that the current pre-release gmetad has many improvements in locking and how it hashes hosts, so the performance problems that leads to this solution may vanish with future releases.


Online casinos are gaining more and more popularity. There are tons of online casinos out there, but it's important to put in the effort to pick just the right one so your online gambling experience is as good as can be. If you're going to play, you might as well play at one of the online casinos, such as Mr Green.
Before you pick an online casino, you need to choose what type of gaming you want. With so many online casinos to choose from, you can afford to be very particular when it comes to this, and you will still find precisely what you're looking for. If you want a casino that focuses solely on blackjack, or poker, or whatever your game of choice is, you'll find it. If you want an online casino that offers all of the online casino games, there are plenty to choose from.
While the online casino industry is somewhat regulated, online casino regulation has certainly not been perfected. It is crucial that you check to ensure that the online casino of your choice is reliable before you begin playing on it. You can do so by reading about different online casinos and their reputability. You might want to consider also only playing on online casinos that have been certified by eCOGRA.
You should also take the software provider of the online casino into consideration. The software is what makes online casino games happen. Microgaming and Playtech are two software giants in the online casino industry. If they power an online casino, you know that casino will have high quality and fun games. These software providers have many years of experience and have left many people satisfied. You can find the name of the software provider on the homepage of the online casino.
In order to play on online casinos, players must open accounts with the casino and deposit money into them. Therefore, it is important that the online casino has options for payment methods that are suitable to the player. All online casinos will offer payment via credit card, and some will offer alternative methods as well. While finding a paypal casino is not as common as many players would like, you can still find casinos that offer paypal as a valid method of payment. Whichever your preferred payment method may be, make sure that the casino you choose supports it. Some players are really hesitant to hand out credit card information and prefer only bank transfers, while others go for only credit. Make sure to also read up on all of the fees associated with opening an account and playing on the online casino.


My research broadly focuses on the development of data-driven optimization methodologies by leveraging advanced machine learning techniques. I mostly work with industry partners to solve complex business challenges with a combination of advanced machine learning and established operations management techniques.
Below is a list of my working papers and publications:
Data-driven Consumer Debt Collection via Machine Learning and Approximate Dynamic Programming (working paper), SSRN link
Summary: We apply machine learning and approximate dynamic programming to help a debt collection agency optimize its collection process. Using data recorded from its historical collection interactions and outcomes we develop a method to intelligently select which debtors the collection agency should call for a given day. We implemented this method at an industry partner and conducted a controlled field experiment. Results of the experiment show a relative increase of 14% in collected debt and a decrease of 22% in calling effort when using our method as compared to the partner's current collection process.
Abstract: This paper presents a framework for the data-driven scheduling of outbound calls made by debt collectors. These phone calls are used to persuade debtors to settle their debt, or to negotiate payment arrangements in case debtors are willing, but unable to repay. We determine on a daily basis which debtors should be called to maximize the amount of delinquent debt recovered in the long term, under the constraint that only a limited number of phone calls can be made each day. Our approach is to formulate a Markov decision process and, given its intractability, approximate the value function based on historical data through the use of state-of-the-art machine learning techniques. Specifically, we predict the likelihood with which a debtor in a particular state is going to settle its debt and use this as a proxy for the value function. Based on this value function approximation, we compute for each debtor the marginal value of making a call. This leads to a particularly straightforward optimization procedure, namely we prioritize the debtors that have the highest marginal value per phone call. We validate our proposed methodology in a controlled field experiment conducted with real debtors. The results show that our optimized policy substantially outperforms the current scheduling policy that has been used in business practice for many years. Most importantly, our policy collects more debt in less time, whilst using substantially less resources—leading to a large increase in the amount of debt collected per phone call.
Keywords: Debt collection, approximate dynamic programming, machine learning
Presented at: POMS International Conference 2017 (Sydney, Australia), POMS-HK Conference 2018 (Hong Kong), StochMod 2018 (Lancaster, UK), INFORMS MSOM Conference 2018 (Dallas, TX), INFORMS Annual Meeting 2018 (Phoenix, AZ).
Optimal Contact Center Staffing and Scheduling with Machine Learning (working paper), Paper link
Working paper, with Siqiao Li and Ger Koole
Summary: We present a simulation-based machine learning framework to optimize staffing and scheduling for multi-skill call centers. A fundamental challenge in staffing and scheduling of service systems is ensuring certain quality of service (QoS) targets at minimum costs. This challenge is particularly complex when considering modern call centers that have multi-skill agents and multi-class customers with heterogeneous arrival rates, resulting in the lack of closed-form expressions for QoS measurements and requiring simulations to accurately provide QoS expectations for staffing schedules. Simulations are computationally demanding and reliable optimization procedures cannot meet the time demands of practical use. We develop a machine learning framework to approximate QoS expectations by predicting simulation outcomes, allowing us to quickly produce a look-up table of QoS for all candidate schedules. The QoS approximations are accurate to within 1-2 percent of the simulation results, even when the call center is considerably large. We then implement a simple deterministic optimization procedure to obtain schedules that can satisfy QoS targets at low costs. Using numerical experiments, we show that under reasonable time constraints our method improves upon the best schedule obtained via the Erlang-C model by 3.8% for the single-skill setting, and improves upon the best schedule obtained via simulation optimization by 4.3% for the multi-skill setting.
Keywords: Contact center scheduling, simulation, optimization, machine learning, service operations
Presented at: INFORMS International Conference on Service Science 2018 (Phoenix, AZ).
Multi-channel Conversion Attribution: A Machine Learning Approach (working paper), Paper Link
Working paper, with Piet Peeperkorn and Maarten Soomer
Abstract: With the increasing prominence of digital marketing, the need for accurate and robust methods to measure the effect and value of digital marketing actions has become a great priority, especially when several channels are affecting simultaneously. With online tracking of customers, it is now possible to map out individual customer journeys, and a number of rule-based and data-driven models have been developed recently to address the “attribution” problem, namely the assignment of purchase or conversion credit to the marketing channels that guided the customer to conversion. Even though some of the existing models have been widely adopted by practitioners, they often suffer from a lower predictive power in practice and cannot adequately explain or justify the credit shares they assign to different marketing channels. In this paper we present a novel machine learning approach to the problem of attributing conversion credit. By incorporating customer behavior information that is highly effective in predicting whether a customer journey will result in a conversion, this approach achieves conversion prediction quality that significantly exceeds existing attribution models. Conversion credits are then assigned to different marketing channels based on their associations with the predictability in conversion. Finally, we test this method on three real-life datasets and compare its conversion prediction and attribution outcomes to four existing attribution models.
Keywords: Marketing, e-commerce, machine learning
Target journal: INFORMS Marketing Science
Revenue Management for Parking with Advanced Reservations
Summary: We develop a data-driven solution to optimize the pricing and blocking policy of advance reservations for a smart parking technology company. This problem differs from a standard revenue management problem due to unknown and variable times of arrival and lengths-of-stay, so formulating a dynamic programming model would thus be infeasible. We decouple the pricing and blocking policies and approach this problem in two stages. First, we construct an optimal blocking policy by using machine learning trained with historical transactions to predict the optimal time of blocking open parking spaces for expected reservation arrivals. This allows us to minimize the potential loss in revenue of guaranteeing the reservation, while also providing a lower bound for the price. Subsequently we use a choice model and randomized price experiments to estimate the demand function for advanced reservations. Finally we use a second machine learning model to predict the expected future revenue as a function of accepting a reservation request, which in combination with the estimated demand function allows us to optimally price parking reservations in real time.
Keywords: Revenue management, dynamic pricing, machine learning
Target journal: INFORMS Management Science
Presented at: INFORMS Revenue Management and Pricing Conference 2018 (Toronto, Canada).
Improving Display Advertising With Predictive Device Matching
Working paper, with Taco Wijnsma
Abstract: Retargeting is a highly effective strategy of targeting display advertisements to potential online customers who have already visited the advertiser's website. Controlled field experiments have estimated that retargeting campaigns can increase an online retailer's website visits and purchases by over 17% and 10% respectively. Unfortunately, retargeting campaigns are limited in volume due to fragmentation of user information from poor online tracking. In this paper we develop a machine learning framework to probabilistically match HTTP cookies to users, thereby solving the fragmented user problem and increasing the volume of retargeting advertisements that can be served by as much as 14.3%.
Keywords: Operations-marketing interface, display advertising, machine learning
Presented at: POMS-HK Conference 2018 (Hong Kong), Amsterdam Business School Marketing Brownbag Series (Amsterdam, Netherlands).
Research in Progress
Optimizing Long-term Job Matching for an Online Marketplace, with Ashish Kabra
Data-driven Fatigue Management for Multiple Sclerosis Patients
Dynamic Optimization of Email Promotional Campaigns
Social Media Bot Detection with Machine Learning, with Juan Echeverria
Li, S., Wang, Q., and Koole, G., Predicting Call Center Performance with Machine Learning, Proceedings of the INFORMS International Conference on Service Science, 2018.
Puterman, M. L. and Wang, Q., Optimal Design of the PGA Tour; Relegation and Promotion in Golf, Proceedings of MIT Sloan Sports Analytics Conference, 2011.
Puterman, M. L. and Wang, Q., Optimal Dynamic Clustering Through Relegation and Promotion: How to Design a Competitive Sports League, Quantitative Analysis in Sports, 7, issue 2, Article 7, 2010.


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In today’s digital age, delivering an omnichannel customer experience is crucial for businesses. Omnichannel refers to the integration of different channels of communication that a customer may use to interact with a business, including physical stores, online marketplaces, social media, email, and mobile apps. To deliver a seamless omnichannel customer experience, businesses need to leverage technology to connect and personalise customer interactions across these channels. Read on as we explore the role of technology in delivering a successful omnichannel customer experience.
Customer Data Management
To deliver a personalised and seamless omnichannel customer experience, businesses need to collect and manage customer data effectively. This data includes customer preferences, purchase history, and interactions across different channels. Technology solutions like customer relationship management (CRM) software, data analytics tools, and artificial intelligence (AI) can help businesses collect, analyse, and interpret this data to gain insights into customer behaviour and preferences. This data can be used to personalise customer interactions across different channels, offer targeted promotions, and improve overall customer satisfaction.
Unified Customer Experience
One of the main challenges of delivering an omnichannel customer experience is providing a unified experience across different channels. Customers expect a seamless experience, regardless of the channel they use to interact with a business. Technology solutions like APIs (application programming interfaces) and microservices can help businesses connect different channels and systems to provide a unified experience. For example, APIs can be used to integrate an online store with a physical store’s inventory system, so customers can check product availability and purchase online for in-store pickup. Microservices can be used to connect different systems and data sources to provide a single view of the customer across different channels.
Personalisation is key to delivering an effective omnichannel customer experience. Customers expect businesses to understand their preferences, anticipate their needs, and offer relevant recommendations. AI-powered personalisation solutions can help businesses achieve this by analysing customer data, predicting customer behaviour, and delivering personalised recommendations across different channels. For example, AI-powered chatbots can interact with customers on social media or a business’s website, offering personalised recommendations based on their preferences and purchase history.
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The TTL-S Remote for Sony gives users complete wireless control of their S1 and S1a monolights from the camera position.
- Allows for precise power adjustment in Manual, TTL and High-Speed Sync modes
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- Syncs at up to 1/8000sec.
- Has an operating range of 100m (320′)
- Gives control of the audible recycle beep and LED modeling lamp
- Uses two AAA batteries
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