How to Connect Data to Meaningful and Measurable Results - Slide 8

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Building a correlation model will enable you to overcome the single greatest challenge that most IT organizations have with their metrics efforts – how to go from data to action that has an impact. It is very easy to fall into the trap of measuring metrics for their own sake without having the clear context of how any given metric can be moved or how it affects the goals of the IT organization.

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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