{"id":781,"date":"2025-11-05T02:34:32","date_gmt":"2025-11-05T07:34:32","guid":{"rendered":"http:\/\/34.133.94.6\/?p=781"},"modified":"2025-12-22T18:28:59","modified_gmt":"2025-12-22T23:28:59","slug":"business-glossary-sooner-rather-than-later","status":"publish","type":"post","link":"https:\/\/blog.data-principles.com\/index.php\/2025\/11\/05\/business-glossary-sooner-rather-than-later\/","title":{"rendered":"Business Glossary \u2013 Sooner Rather than Later"},"content":{"rendered":"\n<p class=\"has-orange-color has-text-color has-link-color wp-elements-e358becb889ef645eca72e62b736ffc4\"><em>By Pete Stiglich<\/em><\/p>\n\n\n\n<p class=\"has-black-color has-text-color has-link-color wp-elements-5d63e81ed13c1c745cb8cec8e8626043\">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\u2019s 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.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-orange-background-color has-background wp-element-button\" href=\"https:\/\/blogs.perficient.com\/2013\/04\/02\/business-glossary-sooner-rather-than-later\/\">Read More<\/a><\/div>\n<\/div>\n\n\n\n<p class=\"has-grey-color has-text-color has-link-color wp-elements-215e483ed6eace4cc4c76b0916340335\"><em><strong>Disclaimer<\/strong><\/em> <\/p>\n\n\n\n<p><em>Links to third-party articles and resources are provided for informational purposes only. Data Principles, LLC does not claim ownership of, nor imply endorsement by, the referenced organizations.<\/em><\/p>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile\" style=\"grid-template-columns:30% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"744\" height=\"746\" src=\"https:\/\/blog.data-principles.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-06-02-at-3.39.28-PM.png\" alt=\"\" class=\"wp-image-886 size-full\" srcset=\"https:\/\/blog.data-principles.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-06-02-at-3.39.28-PM.png 744w, https:\/\/blog.data-principles.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-06-02-at-3.39.28-PM-300x300.png 300w, https:\/\/blog.data-principles.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-06-02-at-3.39.28-PM-150x150.png 150w\" sizes=\"auto, (max-width: 744px) 100vw, 744px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p class=\"has-orange-color has-text-color has-link-color has-regular-font-size wp-elements-d940b883627d329ff5b661894ecc7ffc\" style=\"text-transform:capitalize\"><strong>Pete Stiglich: Trusted Expert in Data Architecture &amp; Modeling<\/strong><\/p>\n\n\n\n<p class=\"has-text-align-left has-black-color has-text-color has-link-color has-regular-font-size wp-elements-c634ae76efbe08db80e2f28f390bd565\">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.&nbsp;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 \u201cModeling the business before modeling the solution\u201d which provides a benefit to clients that many IT professionals miss.<\/p>\n<\/div><\/div>\n\n\n\n<ul class=\"wp-block-social-links is-horizontal is-content-justification-left is-layout-flex wp-container-core-social-links-is-layout-7e5fce0a wp-block-social-links-is-layout-flex\"><li class=\"wp-social-link wp-social-link-linkedin  wp-block-social-link\"><a rel=\"noopener nofollow\" target=\"_blank\" href=\"https:\/\/www.linkedin.com\/in\/petestiglich\/\" class=\"wp-block-social-link-anchor\"><svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M19.7,3H4.3C3.582,3,3,3.582,3,4.3v15.4C3,20.418,3.582,21,4.3,21h15.4c0.718,0,1.3-0.582,1.3-1.3V4.3 C21,3.582,20.418,3,19.7,3z M8.339,18.338H5.667v-8.59h2.672V18.338z M7.004,8.574c-0.857,0-1.549-0.694-1.549-1.548 c0-0.855,0.691-1.548,1.549-1.548c0.854,0,1.547,0.694,1.547,1.548C8.551,7.881,7.858,8.574,7.004,8.574z M18.339,18.338h-2.669 v-4.177c0-0.996-0.017-2.278-1.387-2.278c-1.389,0-1.601,1.086-1.601,2.206v4.249h-2.667v-8.59h2.559v1.174h0.037 c0.356-0.675,1.227-1.387,2.526-1.387c2.703,0,3.203,1.779,3.203,4.092V18.338z\"><\/path><\/svg><span class=\"wp-block-social-link-label screen-reader-text\">LinkedIn<\/span><\/a><\/li>\n\n<li class=\"wp-social-link wp-social-link-mail  wp-block-social-link\"><a rel=\"noopener nofollow\" target=\"_blank\" href=\"mailto:&#112;sti&#103;lich&#064;d&#097;&#116;&#097;&#045;pr&#105;&#110;c&#105;&#112;&#108;es.&#099;&#111;m\" class=\"wp-block-social-link-anchor\"><svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M19,5H5c-1.1,0-2,.9-2,2v10c0,1.1.9,2,2,2h14c1.1,0,2-.9,2-2V7c0-1.1-.9-2-2-2zm.5,12c0,.3-.2.5-.5.5H5c-.3,0-.5-.2-.5-.5V9.8l7.5,5.6,7.5-5.6V17zm0-9.1L12,13.6,4.5,7.9V7c0-.3.2-.5.5-.5h14c.3,0,.5.2.5.5v.9z\"><\/path><\/svg><span class=\"wp-block-social-link-label screen-reader-text\">Mail<\/span><\/a><\/li><\/ul>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-text-align-center has-blue-color has-text-color has-link-color wp-elements-dc4441a923f3306c286cd692d7ae69ed\" style=\"font-size:26px\"><strong><em>Join Our Data Community<\/em><\/strong><\/p>\n\n\n\n<p class=\"has-text-align-center has-black-color has-text-color has-link-color wp-elements-9bdac29360d2b62aa9e765a3bc163366\">At Data Principles, we believe in making data powerful and accessible. 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Subscribe and be part of the journey!<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-orange-background-color has-background wp-element-button\" href=\"https:\/\/lp.constantcontactpages.com\/sl\/XIYDUv9\/DataDecisionsPathways\">Subscribe  Now<\/a><\/div>\n<\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"946\" height=\"630\" src=\"https:\/\/blog.data-principles.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-06-02-at-6.34.01-PM.png\" alt=\"\" class=\"wp-image-1087\" style=\"width:450px\" srcset=\"https:\/\/blog.data-principles.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-06-02-at-6.34.01-PM.png 946w, https:\/\/blog.data-principles.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-06-02-at-6.34.01-PM-300x200.png 300w, https:\/\/blog.data-principles.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-06-02-at-6.34.01-PM-768x511.png 768w\" sizes=\"auto, (max-width: 946px) 100vw, 946px\" \/><\/figure><\/div>","protected":false},"excerpt":{"rendered":"<p>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,&hellip;<\/p>\n","protected":false},"author":5,"featured_media":782,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13,15],"tags":[191,99,194,100,89,103,87,192,195,193],"class_list":["post-781","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-architecture-modeling","category-data-governance","tag-business-glossary","tag-data-governance","tag-data-language","tag-data-management","tag-data-quality","tag-data-stewardship","tag-enterprise-data","tag-metadata","tag-modern-data-ops","tag-semantic-clarity"],"_links":{"self":[{"href":"https:\/\/blog.data-principles.com\/index.php\/wp-json\/wp\/v2\/posts\/781","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.data-principles.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.data-principles.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.data-principles.com\/index.php\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.data-principles.com\/index.php\/wp-json\/wp\/v2\/comments?post=781"}],"version-history":[{"count":3,"href":"https:\/\/blog.data-principles.com\/index.php\/wp-json\/wp\/v2\/posts\/781\/revisions"}],"predecessor-version":[{"id":1235,"href":"https:\/\/blog.data-principles.com\/index.php\/wp-json\/wp\/v2\/posts\/781\/revisions\/1235"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.data-principles.com\/index.php\/wp-json\/wp\/v2\/media\/782"}],"wp:attachment":[{"href":"https:\/\/blog.data-principles.com\/index.php\/wp-json\/wp\/v2\/media?parent=781"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.data-principles.com\/index.php\/wp-json\/wp\/v2\/categories?post=781"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.data-principles.com\/index.php\/wp-json\/wp\/v2\/tags?post=781"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}