Progressive Analytics

Progressive analytics is an advanced approach to analyzing data where the results get refined over time. Imagine putting together a jigsaw puzzle – you start with a few pieces and get a rough picture, but as you add more pieces, the full image becomes clearer. Similarly, in business intelligence, progressive analytics starts with initial insights from available data and then continuously improves as more data is collected and analyzed.

This technique is particularly useful when dealing with large data sets, or in situations where decisions need to be made quickly with the best available information. As new data comes in, the analytic models adjust and update their predictions or insights. This means businesses can act on initial findings and then fine-tune their strategies as they learn more, staying agile and informed.

In essence, progressive analytics allows companies to take an iterative approach to data analysis. They don’t have to wait for a complete set of data to start making decisions. Instead, they can begin with an informed baseline and progressively enhance their understanding, leading to better and more dynamic business decisions.