Presented by Michael Scofield, M.B.A.
Assistant Professor, Loma Linda University
Producing decision-able information from lots of raw data often requires complex processes which must be carefully designed and architected.
This presentation looks at the gap between raw data and decision-able information. Most of the chatter about data quality focuses upon raw, granular data describing discrete events and entities inside the enterprise and around it. But for data warehouses and decision-support, data must be converted into useful information meaningful to the decision-maker.