{"id":15159,"date":"2021-06-18T08:44:59","date_gmt":"2021-06-18T12:44:59","guid":{"rendered":"https:\/\/www.eginnovations.com\/blog\/?p=15159"},"modified":"2022-08-22T02:43:47","modified_gmt":"2022-08-22T06:43:47","slug":"embedded-analytics-it-operations","status":"publish","type":"post","link":"https:\/\/www.eginnovations.com\/blog\/embedded-analytics-it-operations\/","title":{"rendered":"Embedded Analytics for IT Operations"},"content":{"rendered":"
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More Shoes for the Cobbler\u2019s Children<\/h2>\n

When we hear the term \u2018embedded analytics\u2019, most people think of business intelligence. The concept of embedded analytics refers to the integration of analytic content and capabilities within a business process application. The business benefits of embedding analytics into a business process include increased visibility, more effective strategic planning and accelerated time to value.<\/p>\n

Most of the talk around this topic focuses on business supply chains or sales processes, but of course embedded analytics does not have to be limited to the business. In fact, IT value streams are increasingly critical to the digital business services that are changing our world, and embedding analytics applies in this context as well.<\/p>\n

This reminds me of making more shoes for the cobbler\u2019s children (see endnote), since the line between business and IT monitoring is beginning to blur. Having a great business analytics tool may not be worth much if you cannot assure the performance of the underlying IT ecosystems.<\/p>\n

When IT\u2019s portfolio of monitoring tools becomes fragmented, with highly specialized monitors based on technology domains, the effects are similar to the business drivers for embedding analytics in business processes as suggested below:<\/p>\n

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…many of these organizations fall short because they look at business intelligence and analytics access as a separate application from operations, creating silos and gaps into the performance of their business. Business users go about their daily tasks, have a question, and open up a different application to look at a premade dashboard (or create their own) through self-service access. Toggling between applications and not having an integrated way of accessing operational and analytical data creates time delays and overall inefficiencies<\/em>.<\/p>\n

Embedded Analytics, An EMA White Paper<\/strong><\/div>\n<\/div>\n

A typical response by the IT organization has been to create a consolidated performance monitoring dashboard, aggregating monitoring data into a \u2018single pane of glass\u2019. However, without embedding analytics, effectively using these dashboards requires a significant amount of interpretation by highly skilled staff.<\/p>\n

The \u2018analytics\u2019 are also sometimes separated from the daily tasks associated with the IT value stream, which results in an overall lack of flow. The familiar results include alert fatigue, bridge calls, war rooms or (much worse) endless maintenance of rule bases, scripts or correlation engines.<\/p>\n

Fortunately, we can use the IT4IT Reference Architecture and eG Enterprise to help us build some new shoes for the \u2018Cobbler\u2019s Children\u2019. J<\/p>\n

Embedding Analytics in a Detect-to-Correct Value Stream<\/h3>\n

An embedded analytics solution provides relevant information and analytical tools designed for the task at hand, which allows users to work more efficiently. The following will illustrate how eG Enterprise\u2019s converged APM\/\u00a0 with embedded analytics can be used to provide a unified monitoring<\/a> solution and increase the effectiveness and efficiency of the Detect-to-Correct Value Stream.<\/p>\n

IT4IT\u2019s Detect-to-Correct Value Stream<\/h3>\n

A detailed understanding of the Detect-to-Correct Value Stream (D2C) can be obtained from the IT4ITTM<\/sup> Forum<\/a>, but for purposes of this post there are several things worth noting:<\/p>\n