Although the mandates surrounding operational effectiveness are all intended to promote the adoption of private-sector best practices, it is not always clear how best to implement them within the federal environment. This creates an interesting opportunity for forward-thinking leaders to design implementation approaches that will work best for their environment.
Content services platforms (CSP) are helping organizations grow into the 21st century versions of themselves by empowering employees with access to the content they need, when and where they need it.
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.
When there is no shortage of data, how do you get from massive data to mission success?
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.
What would be possible if your organization could predict future occurrences? A new generation of advanced analytics—high-level diagnostic, predictive, and prescriptive—can now provide that opportunity.
How does your organization use its data? Are you sitting on a goldmine that is not being used? Are you in data-overload mode? Or are you optimizing the value of your data to achieve agency goals and priorities?