The Challenge: A Holistic View and Storage of Data
Traditional data platforms are insufficient in meeting the demanding requirements of a government that must move fast and make data-driven decision
Traditional data platforms are insufficient in meeting the demanding requirements of a government that must move fast and make data-driven decision
Combatting the opioid crisis demands a multi-factored approach.
The government has made tremendous progress on the Federal Data Strategy, as it expects to launch its next iteration in January.
Digitization means different things to different people, but most would agree that business transformation is occurring because of digitization. Let’s define what digitization is, why it is happening now and how it will impact public sector business or mission.
The amount of personal data collected by organizations is staggering. As Facebook and Cambridge Analytica taught us, the opportunity to abuse data is overwhelming. For these reasons, we need to embrace the concept of data ethics.
Is our historical view of public service changing, in part, because of performance measurement and advances in technology?
Federal government agencies are faced with an immense amount of data, with more pouring in every second. With so much information, keeping track of it all can be extremely challenging, particularly when there are bad actors seeking to take advantage of the data overflow. AI and machine learning can help.
Data can be extremely valuable to the way government achieves mission goals. But to reap that value, agencies must be able to do more than collect it; they must be able to analyze it.
When thinking about population health management nationally, health centers are an important piece of that puzzle – and data is driving their continuous improvement.
It’s an exciting era for those in government. Vivid satellite images, airborne drones and 3D technology have unlocked another realm of possibility for public service.