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.
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.
Behavioral data analyzes behavior using cognitive, cultural and other related information. Here are three lessons learned from the COVID-19 about this data.
On the GovLoop online training, “Don’t Hide From Analytics: How to Get Comfortable Working With Data,” Tony Bland, Senior Data Engineer at the National Geospatial-Intelligence Agency, shared tips for those looking to put metrics to work at their agencies.
The move to remote work increases agency exposure to adversarial risk. Agencies need to mitigate cybercrime as more of their employees work remotely.
The government has no shortage of data, and an increasing amount of it resides in the cloud, making a cloud-based solution that integrates and manages that data from the start optimal for DR.
One of the most powerful — yet often underused— assets that agencies own is something employees interact with daily across multiple platforms and systems.
A data unicorn is a mathematician, data scientist and storyteller — someone who is mathematically strong, technically learned and narratively inclined. It’s exceedingly rare to come across them.
In order to meet the next set of deadlines, agencies must complete Action 4, which requires agencies to assess the coverage, quality, methods and effectiveness of current staff data literacy and data skills.