Objective: Evolve from BI in control of some to AI in control of many, and build a true learning organization

Data: Demand showing where, when and what is selling, and a supply set showing forecasts and outbound finished goods

Objective: Manufacturing efficiency, shortened raw materials inventory turns, finished goods and inventory turn

Data: Demand data set, sell through, and supply data from factory planning forecast

Objective: Retain high-value customers rather than regularly finding and on-boarding them

Data: Granular and statistics-based demand data set showing sales, customers, and real-time problems

Objective: Improve customer experience by sending limited inventory to the location in the greatest need when that need is highly fluctuating, better aligning on-shelf inventory to customer demands

Data: Large supply data set, such as in-bound inventory, cross-correlated with large demand data set, such as sales transactions

Objective: Improve ROI by reducing costly customer churn through root cause identification of in-house events, and a dashboard delivering business impact insights resulting from supplier events

Data: Helpdesk data set cross-correlated with demand data, such as sales transactions

Objective: Recognize better informed, data-driven decisions on how to spend on energy generation, transmission, distribution and consumption, and decrease costs to delivering reliable power to all customer types

Data: Regional energy demand timeseries geo-data cross-correlated with fluctuating migrations of populations and businesses