Enterprise data clouds are especially valuable to organizations as they can analyze an agency’s data regardless of the IT storing that information.
Most agencies are accustomed to managing PDF files, Word documents and other standard text inputs. But traditional systems for managing this type of content are incapable of keeping up with the growing diversity, increasing size and the volume of unstructured content (video, audio and more) that government employees and citizens are rapidly producing.
Data loss prevention can bring productivity to a halt, especially in an environment where there are more drivers of data than ever.
Cloud migrations are easier with automation as it reduces the amount of manual labor, letting humans focus on more complex, mission-critical work.
When there is no shortage of data, how do you get from massive data to mission success?
As government agencies hash out the challenges that come with making better use of their data, first understanding what they have and where to find it is key.
With our work in natural resource and surface water, we utilize our asset management system in many ways. The ability to spatially conceptualize data helps our team make more effective policy decisions and communicate environmental and resource issues with better clarity.
When you’re looking for new ways to solve tough problems, a hackathon might be your answer.
Big data, as it’s called, has taken over government and forced agencies to piece together policies and practices that will allow them to manage all of their incoming information securely.
The timeline has been postponed and drawn out, but after much anticipation, Federal Chief Information Officer Suzette Kent officially unveiled the Federal Data Strategy on Tuesday.