San Francisco Tackles Barriers to Data Science in State and Local Government
Accumulation of data is common for any organization — especially those in state and local governments. Learn how San Francisco tackles its data science.
Accumulation of data is common for any organization — especially those in state and local governments. Learn how San Francisco tackles its data science.
Jeanne Holm, Deputy Chief Information Officer of the City of Los Angeles, explained some of these advancements to kick off GovLoop’s virtual summit.
A growing number of agencies are showing interest in Adobe’s Digital Economy project to gain a more holistic view of citizens’ digital experiences across multiple websites.
A new data visualization and analytics site from USAspending.gov showcases different ways government spending data can be presented.
The role of geographic information systems (GIS) is obvious in many community emergencies, like wildfires, hurricanes or flooding. Borrowing from transferable workflows and decision support tools, state and local governments are applying these best practices to battle social inequities such as blight, opioid addiction and homelessness. These similarities do require a shift in organizational andRead… Read more »
The reality today is that adopting an analytics-driven approach to security does not require a massive investment and forklift “re-do” – rather, it can be as straightforward as rethinking the overall approach and aligning to trends in how security operations are evolving across the industry.
In GovLoop’s recent online training, public and private sector experts explored ways to turn data into actionable insights.
The central idea of data analytics is taking datasets or groups of information and analyzing them in a meaningful way to determine something useful in government.
For better or worse, intuition comes into play in many business decisions. What is yours saying about Amazon’s next headquarters, and are you prepared to put money on it?
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.