Agile analytics focuses on finding relevancy in datasets by using a free-form adaptive approach. It is built on the idea of flexible analysis and adjusting to specific needs instead of sticking to a rigid structure. Agile analytics is derived from this concept, and offers a faster and more free-flow style of data discovery that suits a rapidly changing business landscape.
This paradigm examines multiple data points speedily and in a more experimental fashion to find new interpretations and unexpected answers. This strategy for analyzing data delivers users the flexibility and adaptability to get past datasets that offer no real value and can remove biases by focusing on the discovery process rather than attempting to confirm hypotheses. As such, agile analytics is mostly unstructured using data that is granular enough to explore unexpected avenues and inquiries should they arise.