“The way forward for developing modern analytics capabilities in the cloud requires an agile approach,” said Michael Kennedy, Director of Public Sector Cloud Strategy at Catapult. “While there are times when it is necessary to build big to accommodate massive amounts of information, that is the exception, not the norm.”
Posts Tagged: data analytics
The amount of data that agencies need to find and parse through at any given time can be daunting. In addition to analyzing mountains of information, analysts need to determine how the insights they glean can improve mission operations.
Don’t get too bogged down by the ways of the past, but don’t try to start all over when implementing a sustainable mindset in your community. It really is all about balance, and using the tools that are out there to improve your city’s capabilities.
Commerce rolled out a pilot program in spring 2016 to help educate and empower its employees to make data-driven decisions.
Whether it’s business intelligence or data warehousing, the cloud allows organizations to shift away from managing their infrastructure to put more of their time and resources into their core missions.
Although they’re not an entirely new undertaking in government, many program offices, sub-agencies and even larger departments are still working through strategies to fully embrace analytics.
Government agencies face three major challenges to becoming data-driven organizations: silos and lack of alignment, technology gaps and an inability to derive value from this data deluge.
The first step in building financial accountability is identifying trends in spending.
Business users know that if they had better access to the mounds of data available to them they could make more informed and better business decisions and they could be looking ahead not backwards. We finally have modern user-friendly data analytics tools available to do just that.
Carnegie Mellon University in Pittsburgh is dedicated to higher education, research, and learning, so it makes sense that the buildings themselves are smart. By partnering with IBM, Carnegie Mellon was able to harness the power of data from buildings to improve facility performance, increase efficiency, and advance industry business practices.