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.”
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.”
At GovLoop’s virtual summit Wednesday, two experts spoke about how COVID-19 accelerated data collaboration, how it can unlock innovation in government and the biggest hurdles agencies face now.
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.
As COVID-19 came crashing down on the U.S. like a wave, first striking the West Coast before spilling into the rest of the country, state and local governments relied on one another to fine-tune their responses.
As government agencies move more sensitive workloads to the cloud, they also need to achieve security and compliance requirements.
“There isn’t a big data silver bullet. You have to tie together the infrastructure, systems and security with a flexible analytical framework.”
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.
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.
There are five steps agencies can take so that big data delivers big value. Let’s take a look at them.
Let’s pump the brakes on the hype of an enterprise public cloud. There are several key factors that agencies need to consider before moving applications to the cloud.