Today’s data digest includes some of the most talked-about, and inspiring stories on data visualization from around the web. A couple of them are about how to use visuals to tell a story with data. Fritz Kahn was a German scientist who lived during the Nazi era, and is known for his captivating illustrations of… Read the rest of this entry »
In this post we go behind the scenes with Cleartrip, one of the leading online travel companies in India and the Middle East. We look at how they use data in the daily functioning of their business, and more specifically at how they handle payment failures.
Cleartrip’s tagline is ‘Making travel simple’ which shows in visible, and sometimes subtle ways across their user interface. However, simplicity doesn’t just happen. A lot of what seems simple in Cleartrip’s UI takes some intricate design in the background. We caught up with Ravdeep Chawla Product Manager, Analytics at Cleartrip to understand the role of analytics in their business, and how it makes their booking experience stand out from the pack.
The much talked about Twitter IPO is behind us, but all eyes are still on the company to see what it has in the works after going public. In this post, we’ll look at Twitter’s contribution to real-time analytics, which is not just one of the hottest topics within big data today, but one which Twitter has excelled in.
Last week, we looked at how we got from relational databases to big data and real-time analytics. This week, we’re taking a deep-dive into how a real-time business intelligence system works. If you’ve used a real-time dashboard before, or are planning on building one in future, this post can serve as a primer to help you understand what happens behind the scenes, and how the real-time data reaches your dashboard.
‘Real-time’ has become a buzzword in recent times. Every other product we come across touts its real-time capabilities. When evaluating a new tool for your marketing, sales, or operational needs, you may have considered real-time as a necessary requirement. When reading articles on popular tech blogs, you’ve probably come across the term every other day. Yet, for many, the phrase ‘real-time’ is like a popular stranger that everyone talks about, but a stranger nonetheless. They wish they knew what all the buzz is about, but don’t know where to start. If that’s you, this series will serve as a great starting point in your understanding of what real-time data is all about.
Foursquare is a great way to let friends know what we're up to, or check reviews of a local restaurant. With the popularity of Foursquare, and the numerous 'check-ins' by users, it has a pretty good idea of what people are doing at different times of the day. Recently, Foursquare decided to use the data users give them to visualize how we move about in some major cities. They took check-in data over the period of a year, and plotted it over a map, updating it by hour of day. The result is quite fascinating, especially if you live in one of these cities.
We've spent the past few weeks discussing predictive analytics in much detail. We started with an overview of predictive analytics, then took a tour of various companies doing outstanding work in predictive analytics today, and finally reviewed the awesome dashboards of Recorded Future and Sift Science. In this final post, we look at some common, yet relatively unnoticed applications of predictive analytics in our daily life.