UPDATED 12:24 EDT / JUNE 18 2013

NEWS

Advanced Analytics: Data Visualization + Timelapse Analytics Are Key

From Las Vegas, for the third day of HP Discover 2013, theCUBE co-hosts John Furrier and Dave Vellante talked with Christoph Pfister, VP & GM Business Service Management, HP Software.

The Business Service Management division ensures the performance of large data centers, the infrastructure and the applications that run within that infrastructure. It’s basically Event and Performance Management, Analytics, all components of data networks systems, Storage, the apps and everything around it.

HelpDesk is closely connected to it — people typically deploy HP’s solutions in what is called the close loop Incident and Problem Management framework. Once they get events, they need to deal with them in a more systemic manner. Meaning there’s no quick fix; it becomes a trouble ticket and it goes into the HelpDesk in the Change Management systems. Once that’s done, it comes back to operations and the ticket is closed. It is a very closely tight process.

The big trend in the service management sector, that is, the self-instrumenting your IT for known problems, is becoming increasingly difficult to do because the IT environments are becoming so dynamic and they’re growing so fast. There’s the paradigm of management by exception that the customers are more and more struggling with. There’s a shift happening where instead of that paradigm, there is a lot of Collect, Store and Analyze becoming a trend. That is what they are responding to with this notion of Operational Analytics. All this machine data is brought into one place, and then Analytics is added on top.

The Business Service Management team is focused on doing advanced analytics on top of this data. Advanced Analytics has a lot of different components; among them, Machine learning (algorythms), and Visualization of data. Data visualization is becoming key. In order to be able to understand, visual is important. Therefore, Visual Analytics is a big part of advanced analytics.

Another advanced analytics HP is working on is Timelapse Analytics. There is all this data in one place, collected over a large period of time, and it’s stored in high-speed data bases. You can go back and forth in time in your IT environment because you have speed. Before, in the VI type solutions, you needed to type a query and wait for 6 hours. Today it is very quick to pin-point issues and that’s very exciting.

Timelapse Analytics will be announced at this event and will be available in the Q3 of this year.


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