Business analytics platforms have always been tools built for statisticians and data scientists. However, these tools are increasingly being directed at business analysts, and Gartner's rankings on its well-known "completeness of vision" and "ability to execute" axes now ride as much on "ease of use" as they do on offering advanced analytical algorithms.
How does this change in landscape affect businesses? Are you new to the world of business analytics? Are you taking over an existing analytics program, or starting one from scratch? This session will help you to understand how to craft a strategy, provision the right business analytical capabilities, and move towards actionable results. We’ll identify common pitfalls to avoid as you start or reinvigorate your business analytics program. In particular, we’ll explore how companies are using self-service and data discovery techniques to deliver more agile analytics using Azure Machine Learning.
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