How to Ready Your Agency’s Data for Decision-Making
Here are four ways agencies at any level can improve the quality of the data used in making their decisions.
Here are four ways agencies at any level can improve the quality of the data used in making their decisions.
With most agencies now fielding hybrid workforces mixing on-site and remote workers, data recovery may be more important than ever.
The challenge federal agencies face with data isn’t just one of constantly exploding volume. It’s also one of velocity — the ability to ingest, analyze and draw value from that data in a relative blink of the eye. Too often, however, they’re working with systems and tools designed for a smaller scale and more deliberateRead… Read more »
Solving all these issues starts by recognizing that data is the most important asset agencies have.
Here are three ways can leverage data analytics and cloud computing to serve the public more effectively.
Federal agencies are wrestling with a fundamental problem with Big Data: The data is being generated at exponentially faster rates every year.
Having large quantities of data is like receiving multiple free cups of coffee: At first, it seems great, but then it takes up too much space.
State and local HHS agencies typically take the lead in identifying health-related problems, writing policies, directing response and gauging success.
Here are several reasons why culture can become a barrier when agencies do not build a culture of change within their workforces and how to fix this issue.
By automating analytics processes, agencies could conduct more efficient audits, identify water leaks faster, save over $1 million in duplicate payments and afford a faster recovery after a natural disaster.