In their ongoing quest to improve efficiencies and services while lowering costs, governments are mining this data for actionable insights that can help them make better business decisions. But procuring an off-the-shelf analytics product and connecting it to a departmental database or application won’t always deliver Big Data’s real value. Many analytics efforts that only take into account information from a single department will deliver results in a vacuum.
Government leaders recognize a pan-enterprise Big Data effort provides much more meaningful insights because it’s based on an integrated view of the constituent’s relationship with the government as a whole. A recent Governing Institute survey of more than 150 health and human services decision-makers found nearly a third (31 percent) were concerned about siloed information systems. Thirty-nine percent said their concerns are compounded by data integration with other agencies, and 43 percent said lack of data sharing and access to data is the primary inhibitor to improved service delivery.
This white paper reviews the impact and challenges of data silos and data hoarding on government agencies, and introduces the concept of an integrated enterprise approach to data as a solution for breaking down data silos and discuss the key technology components of the solution. It presents examples of how an integrated model for data analysis improves agency performance across the government enterprise. These case studies will also demonstrate how an enterprise data model can deliver long-term return on investment (ROI), enabling government leaders to develop a solid business case for technology procurement.