The Evolution of Urban Analytics
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.
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.
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.
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.
Lean management provides the ability to study and manage employees and their related processes breaking them down into a kind of supply chain view. Then, focus on what works and what does not work thus, providing input for a model for improvement.
Four easy steps to start making data driven decisions today.
One of the mistakes people make is that the data steals the show, and it is left to tell its own story. Don’t fall victim to that trap. Check out these practical tips for leading data-drive briefings.
Fighting fraud has never been easier.
Are tiered-evidence grants the way to go at your agency?
Learn how to fight fraud with maps.
Check out what digital transformation means for the public sector, how the data deluge is adding to the complexity and how a segment of big data, called machine data, is offering opportunities to ride the digital transformation wave seamlessly and effectively.