The Dirty Little Secret of Enterprise Data

The most significant challenge in the enterprise today is messy and siloed data: Bad plumbing, which forces data scientists to spend 80-90% of their effort cleaning and preparing data instead of actually analyzing it. Pulling from first-hand experience, Eliot shares how Fortune 500 companies are fixing their plumbing and gaining $100s of millions of value by automating the collection, organization and preparation of enterprise-wide data (supplier, customer, product, financial, etc.) to drive key spend, cost and revenue outcomes.