Enterprise Executive 2017: Issue 2 : Page 28

and allow for deeper dives when necessary. For the mainframe IT function, ITOA dashboards can be tailored to address that long-standing issue of how to “modernize the mainframe” so that new or less experienced mainframe staff can do real work and add value right away. That’s the power of current ITOA technology for mainframe and distributed audiences alike. Why Now (for Mainframe Enterprises Like Yours)? For the past few years, many organizations, particularly in banking, insurance, manufacturing and government, have been experimenting with Big Data analytics tools for ITOA. All have something in common— the z/OS mainframe. Because industry leaders like Splunk, Hadoop and Elastic have free versions that let organizations see what the visualizations and dashboards look like when fed with real-time machine data, one or more of these ITOA solutions is likely already running somewhere in your organization with a data scientist or even an IT Infrastructure or IT operations professional at the helm. Add to that reality that there is now the capability for enterprises to stream mainframe machine data, also via a free version, such that it can be correlated with its distributed and cloud counterparts, and you can see how the “proof of concept” phase for ITOA can be complete or well underway in many places (albeit often by Big Data specialists who may not even be aware the organization has a mainframe). What they do understand is that by analyzing all your relevant machine data, you see the bigger picture of what is happening in your environment and make better decisions. You can’t manage what you can’t see, and since your enterprise’s IT operations span both mainframe and distributed (and/or cloud) computing, it needs an ITOA solution that does as well. What’s Next for You 28 | other IT operational analytics project with a vendor like Splunk, it is strongly suggested that you seek out your Big Data team, see what they’re evaluating or using, and remind them that likely half the log or “machine” data they need to drive the insights they and their LOBs want (and that you can also use), is currently trapped in your mainframe. Those SYSLOG, Log4J, USS, RMF, SYSOUT and SMF logs, which can reveal such things as Abend-AID data, are essential for valuable ITOA insights, actionable improvements and even for compliance. Then give them the news that Big Data-powered ITOA, based on ALL the relevant data in your enterprise, is now possible and can even be trialed for free (with a little help from the mainframe team, of course). If your organization doesn’t have any Big Data efforts underway, that’s your opportunity to help drive an effort that can have a big impact on key areas that you, your colleagues and your company care about. So, to recap, 2017-18 is a critical period for ITOA adoption during which your organization has the opportunity to lead and get the operational and competitive advantages of your custom dashboard and apps to drive differentiation or to compete. It’s the year to join the early adopters or be left behind when it comes to leveraging ITOA, and to drive significant performance and cost improvements both for mainframe and overall IT operations. Given the easy on-ramps and rapid “time-to-value,” getting left behind from the ITOA train just doesn’t seem like a viable option, does it? EE Steven Menges is a B2B innovator and products executive with 20 years’ progressive experience, He owns the product management and marketing functions for Big Iron and Big Iron-to-Big Data solutions at Syncsort. A frequent industry author and speaker, he is an Adjunct Professor and Capstone/Thesis advisor at the NYU Master’s in Management and Systems and Master’s in Integrated Marketing programs and is the co-developer of the Business-to-Business Marketing Maturity Model. Email: smenges@syncsort.com If you’re not yet engaged in an ITOA or E nt e rp r i s e E xe c u t i ve | 2017: Issue 2

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