How to Connect Data to Meaningful and Measurable Results - Slide 3

Email     |     Share  
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9
Next How to Connect Data to Meaningful and Measurable Results-3 Next

The necessary context is not self-evident with most IT metrics. The mantra of "you can't manage what you don't measure" has been engrained in IT organizations for so long that you measure and measure and measure. You measure everything, and the measures tend to be collected and reported independently. But IT systems and the processes that support them are exceedingly complex and almost never operate in isolation. So in order for MTRS to be a useful metric, you must understand it in context. That means that you must correlate it with other key metrics that stand in relation to MTRS and which will enable you to understand why it is trending the direction that it is and to determine if it may be a temporary deviation or a real problem. Only then can you begin to determine what corrective action is necessary.

The challenge with correlation is that it takes work. It means that simply identifying metrics is not enough. You need to build a model which connects the metrics together in a way that explains their relationship to one another. This requires a deliberate evaluation of each metric to determine what other metrics could impact it and which it might impact.

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.

More Slideshows:


Seven Video Resume Tips for Job Seekers Tips for job seekers looking to add a video component to their job search.

10 Top Google Apps for Project Management 10 of the highest-rated apps for project management from the Google Apps Marketplace.


Top Five Rules for E-mail Etiquette Follow these simple rules to help you avoid looking like an amateur in the world of e-business communication.

 

Related Topics : Application Security, IT Process Management, Six Sigma

 
More Slideshows

Five9RemoteEmployees0x 5 Best Practices to Enable Remote Workers

Recent years have seen a significant increase in the remote workforce as developments in technology have given employees the freedom to work anywhere, anytime. ...  More >>

DataM62-190x128 10 Steps for a Proper Data Governance Plan

Establishing a digital governance plan can be a challenge, but with the right education and tools, the job can be made a lot simpler. ...  More >>

DynCloudInternetVisibility0x 8 Reasons the Enterprise Needs More Visibility into the Cloud

IT executives need the right tools to monitor and control their cloud infrastructure to maximize the positive impacts and mitigate security threats. ...  More >>

Subscribe to our Newsletters

Sign up now and get the best business technology insights direct to your inbox.