Does your organization use mainframe data to conduct mainframe analytics and include business data?
In most instances, the answer is “No”, or “kind of”. Considering 80%+ of production data touches the mainframe, shouldn’t this very valuable resource be used?
Why is z data not included more for Analytical, AI/BI machine learning requirements? Without z data, is like flying a plane with no navigation system!
This 45-minute discussion will highlight the obstacles of why companies struggle in combing data from different platforms, what data to collect & how to use it for analytical purposes.
Do not under estimate the difference z data can make to your organizations analytical processes and the advantage this will bring over the competition.
Brian Hoare’s Bio
Brian Hoare has seen the z platform grow from OS/390 to today’s z/OS. He may speak with a “strange accent” and has introduced new solutions into the USA and worked with several startups. He has presented at local/annual CMG’s, Share and many other conferences discussing cost reduction (IBM/MLC), performance and is now his focused on analytical data on “z”. Mainframe analytics are his latest passion, especially as Z is the richest source of data there is. So why not use the richest source of data we have for helping to run the business?
Brian lives in Florida, is a passionate fan of Rugby and Football (Soccer) and has several refereeing and coaching badges.
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