At GovLoop’s March 8 Data Analytics Event, Department of Defense’s Deputy Director for Enterprise Information, Mark E. Krzysko, relays the importance of data and analytics in an agency’s mission and for making critical decisions.
There are data science graduate degree programs popping up all over the country, but relatively few that are focusing on the problems of the public sector.
While the benefits of big data in government are tremendous, the implementation is proving very challenging because legacy infrastructure cannot handle the demanding workload. Here’s how multi-tiered flash storage systems can help.
Every data point is a puzzle piece with its own shape, function and origin. To get a complete picture that influences your decisions about everything from organizational change to user-friendly web principles to communicating within an organization, you have to start grouping things together.
While big data presents myriad opportunities for improving government, the challenges of interpreting massive data sets demand a higher level of analytical skills, as well as a healthy respect for the unpredictability of human nature.
This blog post is an excerpt from GovLoop’s recent guide, How You Can Use Data Analytics to Change Government. Download the full guide here. What does 2016 look like for government IT? We may be in for a few surprises, but one thing is clear: data analytics will play a key role. There are several areas whereRead… Read more »
A solid training evaluation program collects the right small data to assure your training program is on the right path to providing business results.
Government has access to massive amounts of data, but what’s the point of all that data if you can’t take advantage of it? How should the data be stored? How can we sift through it all? What should we do with all of it? The answer is effective data analytical strategies. Which is why thisRead… Read more »
There are countless stories of agencies using analytics to improve online services and better track internal metrics. But the path to a successful big data analytics implementation requires proper long-term planning that addresses growth, flexibility, agility and the evolution of technology.
Most of us are not that familiar with what happens behind the scenes to process the petabytes of data collected through sensors, cell phones, images, search engines and financial transactions, but it’s safe to say that the analysis of these data make our current information-based economy run.