Analytics: Enterprise Architecture as an Enabler of Analytics Part I of II


Analytics: Enterprise Architecture as an Enabler of Analytics Part I of II

Monday, March 5th, 2012 - 10:46
Monday, February 20, 2012 - 09:44
Organizations are increasingly realizing that to have a comprehensive and effective analytics strategy, their analytics solution must be deployed across the enterprise. At a fundamental level, this implies that analytics awareness will need to be embedded within the organizations architecture as well as in the organizations planning and roadmap for the future.

Over the next two posts, we will explore the enterprise architecture as an enabler of analytics. Most public sector organizations are all too aware of the incoming flood of information that they face on a daily basis in the form of both structured and unstructured data.  This information explosion has the potential to both overwhelm an agency’s internal systems and create management challenges that can hinder the execution of the agency’s charter.  

Analytics drives intelligent decision making and helps predict future outcomes

The deployment of analytics certainly holds a key in helping organizations meet these challenging demands and provides a distinct mechanism for making better more informed business decisions. With analytic tools, agencies can now have the capability in hand to uncover specific trends in their collected data and use that information to help predict future outcomes.

We now see in industry that analytics has become a strategic business priority and that developing an analytics competency has become a goal for many agencies that hope to:

  • gain deeper insight from massive amounts of data,
  • enhance ccollaboration across agencies and programs,
  • provide new mechanisms for cost savings, and
  • help deliver better quality services to constituents and customers.

So, what is the optimal way to translate these goals for deploying analytics into reality?

In a nutshell, it has become apparent that analytics capabilities will increasingly need to be entrenched at a fundamental level within an organization's overall enterprise approach and architecture; we will discuss the two steps in more detail over the next two posts.

Step 1: Analytics Awareness and Building an Agreed-upon Approach

As a first step, analytics awareness will need to be embedded throughout the culture, management, governance, and vision of the enterprise.  A solid foundation and agreed-upon approach, with an understanding of what the organization intends to achieve through the use of analytics, should serve as the guide for enterprise planning and deployment.

Coming up next

Join us next time as we delve into Step 2 of building an overall enterprise approach and architecture.

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Claude Yusti

Claude Yusti is a Partner in IBM Global Business Services. He is responsible for establishing long term partnerships with clients and the definition and delivery of solutions that add business value. For over 20 years, he has assisted clients with their business needs and information technology requirements including linking business strategy, technical analysis and delivery services. He also has expertise in strategic planning and the management of complex engagements.

He has over 15 years of experience in the Healthcare industry including working with Health Plans and Health Services Organizations. Mr. Yusti has worked with a number of industry leading clients in the United States, Canada and South America.

Claude Yusti (


Greg Greben is Vice President and Market Leader for Business Analytics and Optimization (BAO), IBM Global Business Services, US Public Sector.