How to Connect Data to Meaningful and Measurable Results - Slide 5

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

Ideally, you should start by developing the key objectives and impact you desire and then map the correlation model top-down. In practice, however, you are often starting with a set of metrics and KPIs that you are already measuring and instead will need to fit them together like a puzzle. That’s ok, but you need to ensure that you keep asking yourself, “So what?” to understand why each metric matters in context until that leads you to an objective that is in line with your overall IT strategy and will be intuitively understood by the business. You may find it easiest to tackle this from both ends. Fit some of the pieces together, and once you are beginning to make some sense of them, take a fresh look at what the key business-driven objectives and desired impact should be. From there, you should be able to more easily identify your top level outcome metrics.

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

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 >>

Analytics21-190x128 5 Ways to Avoid Becoming 'Digital Prey'

Future IT leaders will need to seek technologies that eliminate silos in order to deliver the right information to the right person within the right application environment at the right time. ...  More >>

NETSCOUTShadowIT0x 6 Tips for Combating Shadow IT Once and for All

To mitigate the risks of shadow IT, organizations must demonstrate the necessary agility and high quality of complex service assurance that users are looking for. ...  More >>

Subscribe to our Newsletters

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