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We are in the midst of a “golden age” of data analytics, where high-quality data abounds, and powerful advanced analytics tools are readily available.
Enterprises across the business spectrum are looking to leverage these analytics tools to generate solutions to their mission-critical problems, guide their predictions and decisions, and gain a competitive advantage. But with so many analytics tools on the market, many companies have difficulties determining which ones they need.
You probably have a very firm grasp of descriptive, diagnostic, and predictive analytics tools, but perhaps are not that familiar with prescriptive analytics in general and mathematical optimization (the primary prescriptive analytics tool) in particular.
In this white paper, you’ll hear about organizations—across a wide range of industries—that are using mathematical optimization to conduct prescriptive analysis at massive scale and complexity.