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Improving Data Governance & Business Intelligence with a Common Data Vocabulary

By   /  January 29, 2015  /  No Comments

Vocabulary Loverby Angela Guess

Wayne Eckerson of TechTarget recently wrote, “I know we’re in the age of big data, but the key challenge facing most of the large companies I work with is a lack of a common data vocabulary. Internally, such organizations are a proverbial Tower of Babel, communicating at cross-purposes with data and performance metrics that are inconsistently or ambiguously defined. Departments and business units don’t speak the same language, which undermines operational efficiency and competitiveness. What’s missing is a strong, vigorous data governance program for managing data as a critical business asset.”

Eckerson continues, “My clients are data-driven companies with substantial investments in data warehousing, business intelligence and master data management. But forget about big data for the moment: Many of these companies struggle just to manage what I call their small data — information from enterprise resource planning, customer relationship management and other run-the-business systems. The problem is that they’re fractured organizationally, with each business unit or regional operation managing its own applications, systems and customer databases. Although that empowers business units to tailor the delivery of products and services to customers, it wreaks havoc on global data and, subsequently, a company’s ability to coordinate resources efficiently. In this state of affairs, companies are optimized locally and suboptimized globally. That eventually erodes their ability to compete effectively in the broader market.”

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