Case Study - Transitioning Government Agency To A Big Data Cloud
Government agencies grappling with tighter budgets, demand by decision makers for rapid access to data, as well as aging legacy systems are eyeing cloud computing for numerous business critical systems. Cloud solutions that provide Agencies with an ability to manage and analyze ‘Big Data’ have emerged as a path to costs savings, greater operational efficiencies, improved decision making and greater data transparency.
Building a Big Data cloud in-house is a challenging budget proposition not only for government agencies but organizations across every industry, as is the time-to-market this endeavor involves. As IT providers address early-stage concerns of cloud computing, weaving Big Data into an Agency’s IT infrastructure is proving increasingly attractive.
Over the course of 2011 and 2012, GCE was tasked to help transition the General Services Administration’s USASpending.gov website - one of the most widely used sites for Federal spending information, including grants, contracts, direct loans, and payments - to its Big Data cloud. GCE will share with attendees key factors to consider in preparing for, implementing and managing an organization's move to Big Data. In particular, GCE can address some of the more unique aspects of transitioning a government agency to a Big Data cloud, including:
- A technology and process roadmap transitioning existing IT infrastructure to a Big Data cloud environment
- How decision makers can maximize the full cost benefits a Big Data cloud solution can deliver
- Lessons learned and best practices resulting from GCE’s Big Data project with USAspending.gov