There is quite a bit of writing these days about how data is the catalyst to government innovation. Over the last several years, the conversation has turned towards how the innovation needed to face the 21st-century challenges requires us to get these data conversations right.
With so much information from multiple sources, agencies need a way to connect the dots, and that’s where data analytics comes in.
The NYC Housing Authority maintains 2,500 buildings and generates 2.6 million work orders annually, all with the assistance of data analysis.
In the uphill struggle for more data-driven governance, the insider’s best resource might just be experience, expertise and methods that have been developed outside of government.
Four key lessons based on conversations with chief data officers across varying levels of government.
For being such a small unit, the Forensic Audits and Investigative Service (FAIS) has a mammoth task: to review the integrity of programs with multi-billion dollar budgets.
Each year, government agencies lose billions of dollars due to fraud, waste and abuse. Government agencies tasked with fraud prevention are increasingly turning to geographic information system (GIS) platforms — utilizing maps, geo-enrichment and sophisticated data analytics — to tackle fraud, accurately identify patterns and problem areas and improve organizational efficiency.
Learn how predictive cost analysis has helped the National Nuclear Security Administration better manage aging federal infrastructure.
Platforms like Amazon Web Services (AWS) are transforming the way government thinks about storage, integration, cybersecurity and analytics, and are helping agencies overcome common data challenges.
For many government agencies, the issue isn’t a lack of data but rather the inability to quickly analyze it and turn those insights into actions.