Using “z” data for Mainframe analytics & The loss to your business if you do not

Sponsored by

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.