A Holistic Approach to Data Management Is Your Only Real Option
Just like managing your heart health leads to a better life, managing data holistically means you’re in good shape for the long run.
Analytics
What Data Can Tell You About Current and Future Employees
No matter how massive, minute or complex an agency’s mission, each one has a common purpose: They’re in the business of people.
Tearing Down Data Silos to Connect the Agency
On the journey to modern data centers, federal agencies have undoubtedly come across the advice to “tear down data storage silos.” Those are wise words, but how can agencies actually follow them?
Extracting Big Value From Big Data
As you might guess, there are many challenges to getting value from big data. The main challenges are volume, velocity and variability, also called “the three Vs.”
How to Rid Sluggish Application Performance and Unhappy Users
The most efficient way to solve the problems of complexity, visibility and usability is through comprehensive, automated monitoring of applications, infrastructure and cloud resources.
Is a Perimeter Security Model Protecting Your Data in 2020?
Agencies have traditionally operated off the assumption that if the perimeter is secure, their data is too. But in a distributed environment, that isn’t necessarily the case.
3 Steps for Battle-Ready Data
Using these three key strategies to mine data for wins can help governments restore fiscal health and revitalize community economies.
Improve Resilience in the Era of More
Believe it or not, data largely determines organizational resilience. If agencies have the information at hand to make decisions, they can successfully anticipate and respond to challenges.
Weaving Disconnected Sources Into a Data Fabric
“There isn’t a big data silver bullet. You have to tie together the infrastructure, systems and security with a flexible analytical framework.”
Analytics Lessons From Every Level of Government
While no agency was totally ready to handle COVID-19, the ones quickest to their feet had widespread data literacy and readymade use cases.
