How to Connect Data to Meaningful and Measurable Results - Slide 7

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A Metrics Correlation Model should never be viewed as a replacement for transactional monitoring and management tools typically found in service management products. However, it may be built using their reporting and dashboarding tools. Those real-time dashboards and tools are designed to help you manage in-flight incidents, changes, etc. as they progress through the process. It’s important to do that well and many of the issues with IT performance can be tackled during the transactional process.

The purpose of the Metrics Correlation Model is to enable you to see all of your points of measure in context and in relation to your overall objectives. It is meant to be a retrospective analysis tool. The model will enable you to seek out and identify trends that manifest themselves across multiple metrics and over long periods of time, to see the things that you miss at a transactional level.

According to Charles Araujo, president and managing consultant of CastlePointe, your IT organization has a problem, and you don't even know it.

He explains that you're collecting data and probably think that you have everything you need. But you likely have trouble connecting that data with any action that had a meaningful and measurable impact on the results your organization delivers. That's because what you have is data. But what you really need is information that enables action.

The primary focus of any IT service management or IT transformation effort is to improve service delivery and operational efficiency in order to deliver the appropriate level of service in the most cost-effective manner possible. To do that, you must be able to measure your performance in a way that enables you to monitor your effectiveness and take the corrective actions necessary to move you toward your goal.

The problem is that most IT organizations collect reams of technical data, but have trouble converting that data into meaningful, results-driven action. The primary flaw is in the data itself. In most cases, how it's collected and reported makes it almost impossible to take action.

In this slideshow, Araujo highlights the benefits of building an IT Metrics Correlation Model to gain the full value of the data being collected.

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