This is the fifth and final post in our series ‘Principles of Data Visualization’ #PoDV In the past few weeks we discussed the goals of data visualization, and how preattentive attributes and analytical patterns enable us to process visual information. However, when designing visualizations we often want to highlight certain aspects of the visual over… Read More »
Over the past few weeks we’ve been discussing predictive analytics at length. We started with an overview, and then went on a tour of 9 unique businesses that are leading innovation in predictive analytics. So far, we’ve just set the stage for this and the next post, where we take a focused look at the visualization methods and concepts used in predictive analytics products today.
In part 1 of this series on predictive analytics, we discussed the variety of data, particularly unstructured and semi-structured data, and the three types of predictive analytics. We also touched upon the approach of continual optimization of a predictive analytics system for it to become more and more accurate. With those basic concepts in place, we’re ready to take a tour of the various applications of predictive analytics as it’s used in businesses today. You can think of this as the hall of fame of predictive analytics. These businesses are playing “where the puck is going to be”