According to a recent report by O'Reilly Radar, predictive analytics processes have transformed the business of local government. With a strong predictive program in place, city leaders can change the way they allocate money and react to demand for programs.
The source stated that Mayor Michael Bloomberg of New York City is a strong proponent of big data. His administration has increased the use of predictive processes in a number of important areas. According to O'Reilly, cities such as Memphis, Tennessee, and San Jose, California, have also adopted predictive processes to address local problems.
Analytics, however, is largely dependent on the data used. The source noted that data quality
is critical in running a successful predictive program. O'Reilly advocated that public sector officials tasked with using data-driven methods to address problems should add long-term data quality measures to their arsenal or risk issues later on.
InformationWeek found that some municipalities have ambitious plans to use predictive analytics in the fight against crime. The source stated that the city of Charleston, South Carolina, now has a system in place to predict when and where crimes will occur, enabling the police department to deploy officers to where they are most needed.