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.

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.

A Picture in Time: How NIH Has Responded to the Challenge of COVID-19 Data

While with a vaccine and the right response, the pandemic itself will fade, its long-term health impacts will live with those who contracted and survived the virus. Interoperable, nuanced data will be vital to treating their conditions.

Leveraging Disparate Data in a Disparate Workforce

In an interview with GovLoop, an expert shared three areas agencies should focus on to adapt to an environment where employees can work with data anywhere.

Extract Mission-Critical Knowledge From Big Data

There are five steps agencies can take so that big data delivers big value. Let’s take a look at them.

Proactively Detect and Prevent Security Threats

The key to mitigating the risk of security threats is leveraging AI-driven analytics to continuously monitor user behavior for proactive threat detection.