Since the dawn of the information age (a.k.a.: the early 1990’s), data management professionals have waged an eternal battle to justify the required investment in people, processes, and technology to deliver high-quality, trusted, and secure data to their organizations. Time and again, spanning these decades, our data champions struggle to build business cases to illustrate how bad data impacts productivity, profitability, growth, customer loyalty, and employee morale, and can introduce all kinds of risk to the business and IT. It was tough going early on – data warehousing was a playground, not an enterprise competency, and certainly not a business imperative. Times change. Data warehousing (DW) and business intelligence (BI) reporting which leverage foundational data integration (DI) and data quality (DQ) capabilities are table stakes to run a competitive business. Data management leaders don’t have to work quite as hard to justify investment in these initiatives as they once did.

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