IT Operations Management (ITOM)

Discover 2016: Go hands-on with HPE Operations Analytics and reveal what’s hidden in your data

Discover 2016: Go hands-on with HPE Operations Analytics and reveal what’s hidden in your data


The following is a guest post by Naama Shwartzblat

NSblog.JPGIn a recent survey of over 300 IT professionals, 69% said that Higher Customer Expectations is their biggest challenge. The continued rise in Customer Expectations combined with the ever increasing complexity of IT environments has created a void in the market that current point tools simply cannot address.

In fact, 72% of IT professionals consider Better Analytics tools to look across systems as the solution to major IT operations challenges.

This is where an automated, single pane solution can make all the difference!


At Discover 2016, HPE Operations Analytics is presenting a unique, hands-on lab experience that will demonstrate how you can increase MTTR, quickly identify the root cause of a problem, and adapt a proactive management approach to ensure you are immediately made aware of problems before they happen!

In addition, you will be able to:

  • Uncover insights hidden in your siloed data that is unmonitored by other tools
  • Find your data’s Relationship Score by correlating multiple types of metrics
  • Understand interconnections between data to quickly pinpoint the root cause

 Here’s a sample of what you will see:



Reserve Your Spot Today!

Space is limited, so we encourage you to register right away for HOL9100, Reveal what’s hidden in your data.  We’re offering two hands-on sessions to accommodate demand and to give you flexibility as you build your Discover 2016 schedule:

June 9, 11:30 a.m. to 1:30 p.m.

June 9, 2:00 p.m. to 4:00 p.m.

We look forward to seeing you there!



My name is Naama Shwartzblat, and I approve this message.

  • operational intelligence
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About the Author


Gabriel helps lead product marketing for HPE Operations Bridge. His background includes digital marketing, analytics, and machine learning. His passion is centered around working with brands to understand how big data analytics can drive the digital enterprise.