Mapping Assists Thousands Counting LA County’s Homeless Population
A modern approach to data collection, powered by geographic information system technology, helped Los Angeles County better track its homeless population.
A modern approach to data collection, powered by geographic information system technology, helped Los Angeles County better track its homeless population.
Milwaukee County uses machine learning to help identify discriminatory language in statutes.
The pandemic taught us that federal, state and local public health systems all suffer from fractured data collection. A centralized approach is far better — for many reasons.
Agency leaders and program management professionals must seek practical, secure, and effective methods to extract the valuable information captured in their data repositories — from legacy systems to real-time data streams.
Government already collects data about us that could be used to more efficiently provide access to the range of services that one might need. Through implementing a consent process, like what the health care and financial sectors have done, government could make better use, through data sharing, of the data it already has.
Today’s leaders rely heavily on data-driven decision making to solve complex problems that have a direct impact on their businesses and their missions. Stakeholder concerns regarding the successful operation of their organization typically revolve around so much more than just data quality that it’s oftentimes overlooked. In reality, data quality is one of the most… Read more »