This time of year brings reflection and blessings to count. The Big Data, Analytics and Data Science team at DLT has a lot to be grateful for, as we’ve grown and expanded at an accelerated pace, finding success along the way. As the team and portfolio grow, so do the strategic partnerships, initiatives, activities, and tactics.
So much data, so little time. Disparate sources such as sensors, machines, geo-location devices, social feeds, server and security system logs, and more, are generating terabytes of data at unfathomable speeds. Getting any kind of real-time insight and, we dare you to dream, acting on that data as it flows in, is not an easy feat for resource-constrained government agencies.
Big Data Month: New eBook Sheds Light on How Government is Overcoming Persistent Big Data Challenges
There are many opportunities in the public sector for data science and data analytics, yet, almost as many challenges. When we kicked off Big Data Month at DLT, we asked our Chief Data Scientist, Sherry Bennett, for her insights. What became clear is that the obstacles to big data success are universal to both the public and private sector: “…everybody…is grappling with the same thing.
On Tax Day, 2018, the unthinkable (but not unexpected) happened. The IRS’ IT system crashed after a hardware issue took down a number of apps including those that interface with third-party tax preparation software as well as the IRS Direct Pay application.
IRS IT Systems are Decades Old
What does the U.S. government have to do with “connected cars”? Quite a lot.
Public sector leaders are facing an uphill battle when it comes to managing data. Their needs are growing while their budgets are often shrinking. How can federal agencies do more with less?
Leveraging enterprise open source solutions is part of the answer. They can help agencies close this gap and meet today’s needs—whether that’s analyzing warfighter data or building Smart Cities—while also planning for tomorrow’s challenges.