How Agencies Can Operationalize Data for Better Decision-Making
Turning data into insights requires the right tools. Government agencies require simple, flexible solutions that also meet citizen expectations.
Turning data into insights requires the right tools. Government agencies require simple, flexible solutions that also meet citizen expectations.
One of the ways federal agencies are modernizing their systems is by equipping staff with cloud computing capabilities.
The federal government announced a new initiative on Friday that moves shared service missions into central offices to standardize purchasing.
Agencies are seeking innovative ways to boost internal efficiencies, while also improving how they manage and safeguard data.
Agencies are looking for better approaches to data storage and backup. They are are shedding those complex, legacy multi-tiered solutions for simplified data management that still has physical support but is built for virtualized environments, and native cloud capabilities.
If your agency wants to optimize access and security around its data, it should look to a data strategy. That strategy has to occur on a hybrid cloud-enabled, multi-modal data and analytics platform.
How can you reconcile data to have it available in the cloud so the right people can access it, securely, at the right time, to make thoughtful decisions that benefit mission outcomes?
Forms are one of the main sources of information intake for government agencies, and yet they’re often thrown together haphazardly – with overutilized templates or poorly considered practices.
In 2017, hackers accessed the personal data of nearly half of the U.S. population. The data was taken from Equifax, a CRA.
How exactly can an agency secure data with an emphasis on identity and access management? A panel at IBM’s ThinkGov centered on this question.