By Pete Stiglich
Argues that implementing an enterprise business glossary early is one of the best investments for major data initiatives like MDM, EDW, CRM, and merger-driven integration. The glossary stores definitions and supporting metadata for business terms, data elements, KPIs, and standard calculations so multiple business units and systems can align on meaning. The post’s theme is that the cost of ambiguity compounds: without shared definitions, projects spend time debating semantics, building inconsistent logic, and reconciling reports. A glossary accelerates requirements, supports governance and stewardship, and becomes a reusable asset for analytics and integration.
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Pete Stiglich: Trusted Expert in Data Architecture & Modeling
Pete has over 30 years of data architecture, data management, and analytics experience, most of that time as a consultant in industries such as government, finance, healthcare, insurance, and more. He is an industry thought leader in data architecture and data modeling and has developed and taught many courses on these topics. Pete enjoys helping clients solve complex data problems, leveraging proven approaches such as “Modeling the business before modeling the solution” which provides a benefit to clients that many IT professionals miss.
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