Leveraging big data into actionable metrics is not only becoming necessary for understanding the legal climate and ensuring regulatory compliance, but also for evaluating whether a legal department is ...

Speakers at the Corporate Legal Operations Consortium (CLOC) Conference will try to educate legal departments about using metrics to understand and meet future challenges. Prescriptive modeling—the ...

Big Data—information sets too large to be effectively computed on desktop systems—isn’t just the buzzword du jour. It provides an unprecedented ability for business and industry to precisely model the ...

This ebook, based on the latest ZDNet / TechRepublic special feature, explores how you set up an analytics infrastructure that sees around corners and gives you options to avoid a head-on crash. Read ...

Prescriptive analytics is nothing short of automating your business. This was the silver lining as we explored the complexities of prescriptive analytics in our guide. While a lot of that complexity ...

NEW YORK, April 11, 2017 — The prescriptive Analytics market is expected to grow from USD 1.20 Billion in 2016 to USD 4.72 Billion by the end of 2021, with a CAGR of 31.5% from 2016 to 2021.

In today’s data-driven landscape, businesses are continually seeking actionable insights to stay competitive. Prescriptive analytics, the advanced analytics discipline, goes beyond predictive ...

In today’s consumer-centric retail and fashion market, data is king. And retailers and brands generate a lot of it. From sku-level product information to point of sale data, the numbers can help ...

Forbes contributors publish independent expert analyses and insights. Exploring Cloud, AI, Big Data and all things Digital Transformation. Analytics is probably the most important tool a company has ...

While predictive analytics have been an ed tech buzzword in recent years, they are but a midpoint in the evolution of data analytics in higher education. What began as descriptive analytics, the ...

The majority of raw data, particularly big data, doesn’t offer a lot of value in its unprocessed state. Of course, by applying the right set of tools, we can pull powerful insights from this stockpile ...