Make better strategic decisions
Financial services analysts must make sense of mountains of data—so they can predict what’s likely to happen next and make precise, strategic decisions for maximizing returns and minimizing risks in that given future.
This level of analysis and decision-making requires a complete data analytics toolbox, including both machine learning and mathematical optimization. With a full toolbox, analysts can get a glimpse into the future, while also identifying the best way to proceed.
To learn more about how financial services decision-makers are using optimization technologies today, Gurobi commissioned a study from Forrester Consulting. And the results are in.
Download your copy of the complete Forrester study, infographic, and webinar recording today.
Financial Services Organizations Prioritize Optimization Technology
Over half of decision-makers indicated that optimization is critical to their financial services organization and over three-quarters of them are planning, expanding, or upgrading their optimization technology implementations.
Financial firms recognize that optimization tools can give them a competitive edge in making business decisions, so time is of the essence.
The Next Step for Enterprises: Optimization Transformation
In this article, Gurobi Technical Fellow and VP Dr. Gregory Glockner details how organizations are applying mathematical optimization, a powerful prescriptive analytics technology, to power digital transformation, decision optimization, and competitive advantage.