Digital transformation is driving new innovations in government. It relies on comprehensive, accurate data, yet agencies often hit speed bumps when they try adopting data-driven decision models.
That's because integrating data sources and feeding information into analytics systems at scale isn't enough to become a data-driven agency. Agencies and their data scientists must ensure they do not drown in a flood of data they cannot use, Forrest Hare, cyber operations solutions developer at SAIC, said.
"It's easy to get data overload and decision paralysis when you are too successful at integrating your data," he added. Agencies must find an easy, repeatable, and scalable way to distil the numbers into meaningful knowledge.
"Rapid data-driven decisions require automated sense-making," Hare said. "Without that, you need lengthy, customized analytics for each decision."
Continue reading: https://www.businessinsider.com/sc/how-government-agencies-can-use-data-better-to-make-decisions-2021-9
That's because integrating data sources and feeding information into analytics systems at scale isn't enough to become a data-driven agency. Agencies and their data scientists must ensure they do not drown in a flood of data they cannot use, Forrest Hare, cyber operations solutions developer at SAIC, said.
"It's easy to get data overload and decision paralysis when you are too successful at integrating your data," he added. Agencies must find an easy, repeatable, and scalable way to distil the numbers into meaningful knowledge.
"Rapid data-driven decisions require automated sense-making," Hare said. "Without that, you need lengthy, customized analytics for each decision."
Continue reading: https://www.businessinsider.com/sc/how-government-agencies-can-use-data-better-to-make-decisions-2021-9
