Revenue Enablement

Calling data engineering a cost center is outdated. In today’s world, without high quality data, you simply cannot stay competitive. This has become even more apparent with the rise of data hungry AI companies, where data essentially is the business. I define data engineering as preparing and transforming data from any source into a useful form for a business purpose including but not limited to analysis, reporting, monetization, product development, marketing, and decision making....