Predictive analytics is key to helping government agencies in important decision-making and this technology should not be limited to use by just data scientists but the entire organization, according to one data analytics expert.
Speaking at a panel presentation to the Enterprise Transformation Subcommittee of INSA, Cindy Walker, vice president of Salient CRGT’s Data Analytics Innovation Center, highlighted what government agencies should consider as they decide how to implement or broaden their use of modeling, simulation and analytics.
“Many government agencies are in the process of exploring ways to expand their use of predictive analytics to enhance their mission outcomes,” Walker said in a statement. “As they plan their way ahead it is important that government agencies not limit the use of these capabilities solely to centers of excellence with small groups of data scientists. Rather, they should embrace these approaches throughout their organizations to empower all levels of decision makers with the capabilities to be more forward-looking.”
Walker also discussed examples of modeling, simulation and analytics best practices and technologies agencies have used to identify, analyze, mitigate risk and to simulate and optimize potential outcomes. In addition, she contributed to the group’s open discussion of analytics approaches and technologies that could provide insights to inform more accurate forecasting of background investigation and continuous evaluation-related workload and backlog.
“The examples and anecdotes from the expert panelists demonstrated real world scenarios where they have been able to effectively leverage analytic capabilities in adjacent industries or mission areas,” Adam Lurie of Haystax Technology who chairs the Enterprise Transformation Subcommittee said in a statement. “To truly bring about smarter decision making in security, we must leverage the proven capabilities that have already been deployed and are currently in operation throughout the world today.”