This is the third post in our series ‘Principles of Data Visualization’ #PoDV We started off this series discussing the importance of data visualization in business, and then moved to the two goals in data visualization - explanation, and exploration. Now that we're aware of how data visualization functions in business scenarios, let's dive into… Read More »
This is the second post in our series ‘Principles of Data Visualization’ #PoDV Whether you create visualizations for product dashboards, or interact with them in your day-to-day work, one way to get the most out of visualizations is to understand the goal behind any visualization. It sets the right expectations before you begin to create… Read More »
This is the first post in our series ‘Principles of Data Visualization’ #PoDV How often have you bolted on a dashboard to an almost finished product, and promptly shipped it? How often have you built a business dashboard using the most convenient chart type you could get your hands on in five minutes? How often… Read More »
Today’s data digest post is chock full of the best news and updates on data visualization. This first post gets right to the heart of what data visualization is all about. It’s a compilation of views from four different experts in the field, who offer unique, and valuable insights from their experience. Here’s the video… Read More »
So your CEO read about data-driven decisions as the in-thing and realized that the information dashboard is the Holy Grail he was looking for to improve the engagement quotient of his product. You have been given the mandate to create that masterpiece. But hey, wait! before you set on your expedition, here are our ten… Read More »
The President's State of the Union address generates a lot of tweets and is a great candidate for visualization. That's just what Twitter did this year in their #SOTU2014 visualization. In this post, we take a look at what the visualization gets right, and what it could have done better. Edward Tufte, a data visualization… Read More »
One of the earliest applications of real-time analytics was in manufacturing plants to monitor the performance and health of their systems in real-time. Data like temperature, weight, and volume were monitored by sensors embedded at strategic points in a manufacturing system. These sensors would update monitoring dashboards in real-time, giving visibility and control over the performance, and output. Not just in systems, but RFID technology and surveillance cameras drastically increased the applications of real-time analytics in security, and human resource allocation in these manufacturing plants. It would be only a matter of time till this kind of recording of real world information was made possible outside the manufacturing, and industrial sectors.