The Future of Data-Based Decision-Making
The role of data in government is growing fast. But to reach the future, you have to prepare. Here are some tactics to get your data systems ready now.
The role of data in government is growing fast. But to reach the future, you have to prepare. Here are some tactics to get your data systems ready now.
Data management has become a critical aspect of operations across the federal government in the digital age. The sheer volume of data generated daily requires efficient and effective management tools. Enter artificial intelligence (AI)-powered automation, a catalyst for enhanced data management and governance in government.
As data increases, it becomes more difficult for agencies to store, share and secure it, both internally and with other organizations.
There are three core pillars to data transformation: people, processes and technology. You need to pay attention to all three.
Data drives decisions — but how to harness its growing volume, speed, and variety so it can provide that actionable insight? Intelligent data management.
At the crux of every cybersecurity strategy is an identity data management challenge: How much information does an agency need to verify the identity of an individual requesting access to network resources?
The everyday functions of government — and the services that agencies provide constituents — depend on strong cybersecurity protections. One state’s plan for disaster recovery helped it respond effectively to 23 simultaneous ransomware attacks. But the state has more in mind than that.
With the right approach, government agencies can harness the power of modern data operations to speed digital transformation, protect sensitive data, eliminate data silos and build more agile workflows.
Government agencies have a responsibility to protect our personally identifiable information, but that’s easier said than done. Strong data management and cultural mindsets are important, and there’s a role for automation as well.
There’s a great amount of data wrangling, coordination and analysis that has to occur before data is turned into useful information.