Operational Data Warehousing: The Unification of Operational and Analytic Processes
The over-hyped concept of “real time” (RT) is a distraction and a red herring. Instead of contemplating RT technology in a vacuum, we need to see that it’s a means to an important end, namely the unification of operational and analytic processes. Instead of terms like “real-time data warehousing,” we should be speaking of “operational data warehousing” (OpDW), which leverages data warehouse infrastructure to infuse business operations with BI in the form of information in an historic context, inline analytics, and a broader view of business entities. These benefits just happen to be delivered in real time, near time, or on demand, because process-driven business operations run quickly and continuously. If this sounds to you like operational BI, then it’s because operational data warehousing is the deep database and integration infrastructure that makes operational BI possible at the user interface level. With both, we need to keep our eyes on the prize, and the prize is operational excellence, not the RT technology that enables it.
What you will learn:
- Definitions and variations of Operational Data Warehousing (OpDW)
- The business initiatives that need OpDW for their success
- Real-time, near-time, on-demand, active, dynamic, just-in-time, zero-latency, and other technologies and techniques that enable the business goals of OpDW
- How to manage the numerous organizational adjustments that are critical to OpDW success
Philip Russom, Ph.D.