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 »
We need more than just data scientists doing city work; we need a strong ecosystem that will support a smart team of urban data scientists as they assist city leadership in driving successful outcomes for citizens.
Instead of focusing on project replication – focus on process replication and adaptation.
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.
A look at how data visualization played a role in the Challenger Tragedy.
The goal of urban analytics is to help make cities safer, smarter, cleaner, healthier, equitable, sustainable and economically vibrant for all of us who live, work, play, learn and strive in them.
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.