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Best Practices: Big Decisioning Ahead as Government Uses Big Data and Analytics

This IDC Government Insights report provides an update to government Big Data deployment and management challenges such as obtaining access to data and the need to ensure that data allows for optimized decision making. This report also presents some of the best practices deployed by the Department of Homeland Security (DHS) in persuading data owners to share data for analysis via the DHS Management Cube. Government organizations are beginning to take advantage of more of their data assets to make informed program, department, and agency decisions across the planning, budgeting, and execution life cycles.

"Data governance is a key element in ensuring that data is secure, actionable, timely, trusted, clean, complete, and granular, "says Adelaide O'Brien, research director, IDC Government Insights. "Without these characteristics, data may present an incomplete view into the subject matter and require substantial manual effort to transform it into a usable format for analysis," she adds.

Please Note: Extended description available upon request.


IDC Government Insights Opinion
In This Study
Situation Overview
Types of Data
Business Needs
Management Challenges
The Best Practices
Governance
Unleashing the Analyst
Visualization
Challenges Facing the MGMT Dashboard Initiative
Benefits of the DHS MGMT Cube
Future Outlook
Essential Guidance
Actions to Consider
Learn More
Related Research
Synopsis
Figure: Government Data Does not Support Optimal Decision Making
Figure: Three-Tiered Governance
Figure: DHS Management Cube — Integrating the Data
Figure: Stages of Maturity in Deploying Big Data Initiatives by Government Organizations

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