Manufacturing 

The reduced margins in manufacturing have led companies, such as GE, which are based on heavy industries, to rethink their strategy beyond just automation. The idea expands automation to creating intelligent factories that are not only automated but also continuously learning and improving. This use case will change the way the main personas in this space work and interact—plant managers, manufacturing engineers, plant and business team leads, and quality professionals.

In simple terms, the business use case that will enable manufacturing to become brilliant is centered on the effective use of business intelligence, data science, and self-service models. A proper Business Intelligence (BI) strategy should help identify What happened? and When did it happen? The strategy should incorporate utilization of reports, dashboards, trending KPIs, and related genealogy (traceability) for it to be effective. Proper application of data science advanced statistical analysis, modeling, and machine learning will lead to answers to Why it happened? and What could happen? Finally, data preparation and blending for root cause and data quality analysis is a requirement that should be automated as self-service for effective use.