Data-Intense Work Is Driving New Requirements
Federal agencies are wrestling with a fundamental problem with Big Data: The data is being generated at exponentially faster rates every year.
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.
Central data offices across government are outnumbered in staff, time and budget. Here’s what they’re trying to do about it.
To meet reporting guidelines and overcome the challenges above, leaders should leverage data — both from their own operations and from third-party sources.
The public sector is at the forefront of community impact, particularly when efforts are supported by modern technology and data’s use is maximized.
Data collection and organization are important steps in becoming more data-centric. For data to truly be useful, it should be accessible to everyone.
Check out practical tips on how to strategically and effectively incorporate data into your work.