With the fall season now here, you can feel the change in the air. Similarly, the HPE Operations Analytics team is creating change across the digital enterprise by helping drive the value proposition of IT analytics to the business.
HPE Operations Analytics takes the headache out of processing massive amounts of Big Data flowing through your organization by providing a way to “reduce the noise” – helping you find root cause faster by focusing on only the most critical issues that have an impact on your business. In fact, one of the main values that CIO’s have said they receive from HPE Operations Analytics is the ability to shorten the troubleshooting cycles for their teams. Operators and subject matter experts can very quickly analyze and pinpoint the problem, minimizing the impact to the business.
Additionally, CIOs have also found that with HPE Operations Analytics, they are able to increase their pace of innovation – a key measureable that is often sought after but rarely achieved. A big focus moving forward is continuing to eliminate the need for an in-house data scientist and the manual work that still exists in many IT organizations. With the need for transparency and analytics growing at a breakneck pace, HPE Operations Analytics is focused on two main elements to help businesses make the transition to the digital enterprise. The first is using machine data - making it easy to understand what has happened within a system and be able to predict where performance is headed.
The second is implementing operational intelligence and taking the ad-hoc analysis of your historical data to understand how your systems have behaved in the past and then extracting data from that. Conveniently, these two elements work in harmony and unlike the stock market, will eventually allow you to “use past performance to understand future gains”.
Interested in more details? In this video, Alina Gicqueau, Product Line Manager with Hewlett Packard Enterprise shares how ITOA has evolved and what the future holds:
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.