WHY MAINFRAME DATA MANAGEMENT IS CRUCIAL FOR BI AND ANALYTICS>
Analytics Insight – Gil Peleg
While the entire purpose of business intelligence (BI) is to find behavioral patterns in the data and infer future trends or actions that can benefit the business, many enterprises have been missing a key component: mainframe data. Without this precious core data, much of which is hidden in mainframe environments, BI and modern analytics wonât live up to their potential.

New technology is now available that turns this process on its head. Data can be extracted from the mainframe and loaded to a cloud target where it can be economically transformed into any standard format, combined with other data and analyzed as much and as often as needed. The secret to this new method is the extract process almost entirely bypasses the CPU (avoiding MSU charges) and instead uses the mainframeâs built-in zIIP engines (a subsidiary processing system within the mainframe) which is not part of the MSU billing system.

This evolution in mainframe data management will change how BI evolves over the next decade. User experience and product offerings will become more personalized. Companies will customize their offerings according to historical data liberated from the mainframe to enhance their business analytics. Enterprises that follow this path will have an opportunity to excel while those that donât will likely be left behind.
Link: https://www.analyticsinsight.net/why-mainframe-data-management-is-crucial-for-bi-and-analytics/