As companies move to modern cloud data platforms, many realize that the “last mile” of preparing, analyzing, and publishing insights in the data and analytics lifecycle takes too long to create, refresh, and refine.
In this presentation, Dave Mariani, Founder and CTO of AtScale, will discuss the concept of a “data and analytics flywheel” as a framework to understand the virtuous cycle that powers data-driven insight creation in the most sophisticated organizations. A semantic layer that links BI and AI audiences to enterprise data assets is fundamental to triggering the effects of this flywheel.
Dave will dive into the necessary ingredients for making your flywheel work and explain the importance of a semantic layer and processes that will serve as the “grease” for the flywheel, making it spin easier and faster.
You will learn how this flywheel effect can accelerate time to insights, increase the productivity of analysts and data scientists, and democratize insight creation across a much broader audience. The impact of simplifying data engineering, reducing multiple data hand-offs, minimizing manual coding, eliminating the need for extracting data sets, and optimizing query performance all work to spin your flywheel faster.