IT Operations Management (ITOM)

Analytics in IT Operations — EMA Research white paper reveals 4 key qualities of new platforms

Analytics in IT Operations — EMA Research white paper reveals 4 key qualities of new platforms


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With written contribution from Andrew Wahl


Big data and analytics play a growing role in IT organizations’ efforts to achieve greater efficiency and deliver increasingly valuable and relevant services to the business.


A key focal point of this widespread trend is the IT Operations Center. Multiple domains intersect here, with requirements on the rise for provisioning, delivering and optimizing a broad array of services. IT operations professionals must work together more efficiently, and often share resources and information with Security Operations Center and the Network Operations Center (NOC) to resolve interconnected issues.


IT and data management consulting firm Enterprise Management Associates (EMA) has conducted some outstanding, in-depth research into the important role analytics is playing in operationally-centric performance management solutions. In a recent white paper, EMA offers insightful analysis about the class of analytics tools that have emerged and the trends that are driving them. EMA also provides a detailed look at HP Operations Analytics specifically, and how it supports the transformation IT.


What IT Operations Analytics offers


The EMA white paper identifies four key qualities of IT operations analytics platforms:


  1. Breadth of analytic heuristics – According to EMA, “next-generation IT analytics capabilities...may span everything from self-learning and self-adaptive, real-time predictive heuristics, to advanced data collection and trending via OLAP for historical and what/if use cases"

  2. Breadth of data sources — Next-gen platforms use “highly eclectic data sources”, including events, time series, log files, flow, transactional data, and structured and unstructured data. IT operations analytics platforms can acquire these sources directly, or by assimilating other sources

  3. Modularity — Analytics tools need to support a growing number of stakeholders for a growing number of use cases. Enabling modular values can range from pure performance management, to business impact advances shared by business and IT constituencies, to change impact and capacity optimization

  4. Unique contextual insights — Next-generation analytics for IT deliver added advantages in terms of context, relevance and appropriateness for individual stakeholders who need to better understand the business impact of IT services. The analytics come via some combination of service modeling, topology-defined interdependencies or CMDB integrations.


If you’re assessing how analytics can help your IT transformation efforts, the white paper is worth your time. EMA found that new IT analytics capabilities are able to identify patterns and solutions hidden to traditional management tools that target standard KPIs with one-dimensional variances. Also, by enabling far more holistic and integrated insights across a wider variety of sources, they are beginning to facilitate dramatically improved levels of efficiency across IT.


Get the white paper

Download HP Operations Analytics: a New Analytics Platform to Support the Transformation of IT to learn more about how next-generation IT analytics perform in the real world, as well as an examination of HP Operations Analytics applications and architecture


For more information:

  • operational intelligence
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