A Trust-Engagement Model: Intuitive, Sequenced and Service-Oriented
(Re) building government data systems provides an opportunity to transform community engagement channels.
(Re) building government data systems provides an opportunity to transform community engagement channels.
Six reasons government agencies should innovate — and how to implement them.
Innovations like cloud platforms and Software-as-a-Service help government agencies make the best use of their data.
Agencies often lack reliable, real-time data that can help them solve critical problems. In Chicago, officials used the cloud to bring early childhood care to underserved demographics.
Automation can make analyzing data so much easier. It can help agencies tell better “data stories” that put the information in context. Automating isn’t easy, though. Here’s advice from an industry expert.
PETs, otherwise known as privacy enabling technologies, help agencies enable, enhance and preserve the privacy of data throughout its lifecycle. They’ve come a long way over the last 30 years.
Data analytics, in simple terms, can be compared to doing a jigsaw puzzle: The automated analytic tools make much quicker sense of 1,000 random puzzle pieces than a human ever could. But the shift to data analytics requires some planning.
Agencies are launching new and innovative data initiatives, but many of their employees are being left behind. Creating a culture of analytics can bring everyone into the fold.
In the current data-driven landscape, business leaders across government need to be involved in using data. They need at least a working knowledge of the tools of data science and the ways data scientists generate their insights.
“Reporting the data on disproportionality is a starting point for the conversation. It is not an ending point.”