Charlotte, North Carolina’s public water and wastewater department created an intelligent utility system with GIS technology.
When Pittsburg failed to get certification from Bloomberg Philanthropies’ What Works Cities Certification Program, the city dusted itself off and worked hard to change its entire data mindset. Here’s how they did it.
Navigating data for evidence-based policymaking is a struggle with legacy IT systems. Modern data platforms offer a new direction.
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.
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.
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.
It isn’t only organizational efficiencies that make data literacy worthwhile. Fostering data acumen is tied to the core mission of government agencies: serving constituents.
A closer examination of data warehouses, data lakes and enterprise data platforms is helpful in determining which one is right for your organization.