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This report, written by Kevin Desouza, Arizona State University, provides a clear and useful introduction to the concept of big data, which is receiving increasing attention as a term but also lacks a commonly understood definition. In describing big data, Prof. Desouza writes, “Big data is an evolving concept that refers to the growth of data and how it is used to optimize business processes, create customer value, and mitigate risks.” The report also describes the differences in the use of big data in the public and private sectors.
In the next few years, nearly all public agencies will grapple with how to integrate their disparate data sources, build analytical capacities, and move toward a data-driven decision-making environment. Big data is increasing in importance for public agencies, and big data programs are expected to become more prominent in the near future. Through the use of big data, analytics now holds great promise for increasing the efficiency of operations, mitigating risks, and increasing citizen engagement and public value.
A key contribution of this report is its descriptions of how big data is being used in federal, state, and local government today. His examples include the Internal Revenue Service, the state of Massachusetts, and the New York City Business Integrity Commission.
In addition, Professor Desouza conducted extensive interviews with chief information officers (CIOs) across the United States at the federal, state, and local level. The goal of the interviews was to better understand the implementation challenges facing CIOs and their organizations as they undertake big data projects. Desouza presents 10 key findings from his interviews.
Big data is a new frontier for the public sector, and has captured the attention of public managers across the globe. Agencies realize that their datasets represent critical resources that need to be managed and leveraged. Public sector use of big data and big data analytics is wide-ranging; some organizations have no experience with big data, while others have taken on small to moderate-sized projects. Drawing on the CIO interviews, this also report presents implementation steps grouped by the phases of a big data project:
Each of these three steps holds individual value, but also contributes to an overall framework for managing public-sector big data projects. The key steps serve as best practices for CIOs and public managers to consider for their agency as they embark on big data projects.
This report continues the IBM Center’s interest in the concepts of big data and analytics. In cooperation with the Partnership for Public Service, the IBM Center for The Business of Government recently issued its third report on analytics: From Data to Decisions III: Lessons from Early Analytics Program. The use of analytics in agency program management and decision-making relies on big data.
Collectively, this report and the Partnership-IBM Center’s three reports on analytics provide a roadmap for federal leaders on how to move to the new era of big data and analytics. We hope these reports will assist all public managers as they continue their quest to better use data that they collect on an ongoing basis.