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

Our aim is to produce research and analysis that helps government leaders more effectively respond to their mission and management challenges.The IBM Center is named "The Business of Government" because its focus is the management and operation of government, not the policies of government. Public sector leaders and managers need the best, most practical advice available when it comes to delivering the business of government. We seek to “bridge the gap” between research and practice by helping to stimulate and accelerate the production of actionable research.

In our last post, we focused some more of the presidential directives and how departments and agencies can save money through the use of analytics. We also introduced one of the two advanced analytics methods. Today we will wrap up discussion on the final two advanced analytics methods: continuous monitoring technology and predictive modeling Continuous monitoring technology

Last week, we discussed the current strategy of the federal government (Part I and Part II) and the important role analytics can play in providing agency leaders improved data to make informed decisions for an organization, while reducing costs.

In our last post, we initiated conversations on the current federal analytics strategy and the important role analytics plays in helping department and agency leaders use better data to make informed decisions and improve operational performance, while reducing costs. Today, our focus is on the role technology in effort to better link data. Information Technology (IT) role to better link data

In our blogs last week, we discussed the vision of analytics in the future and the three key principles government agencies will need to apply to dramatically reduce costs and drive performance improvement.

In our last post, we introduced the first principle government agencies should adopt in effort to dramatically cut costs while simultaneously driving improved performance; the importance of government agencies to understand their current environment. Today we will wrap up the two other principles to predict future outcomes and learn how changes impact those outcomes. Principle 2: Predict Future Outcomes

Welcome back and happy new year. In our last post in 2011, we wrapped up our discussion on how one commercial organization, Wal-Mart, has effectively used analytics to improve its operational performance. We also provided some examples of government departments and agencies that have implemented analytics and explained how they are using analytics to improve their service to citizens.

“It’s like peeling back an onion.  You cry a bit, then peel another layer and cry some more.”  That’s how Michelle Snyder, deputy chief operating officer of the Center for Medicare and Medicaid Services (CMS), metaphorically describes the use of powerful data analytic tools.

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