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DATA DICTIONARY

Data dictionaries are changed too frequently along with changes in business strategy. Despite delays in updating backend IT systems, managing impact on business processes becomes difficult if all dependencies are not well documented. Visit our website and get more information:-<br>http://vyakar.com

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DATA DICTIONARY

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  1. DATA DICTIONARY DEFINING AND USING A COMMON LANGUAGE Learn how Data Dictionaries build single source of truth

  2. INTRODUCTION Data Matching Many companies are trying to build a robust data dictionary on business functions across organizations, aligning processes around it. Large enterprises have a dedicated data steward, while small and medium enterprises often rely on a data champion.

  3. Lead Distribution Whatever the size of an organization, data stewardship requires cooperation across business functions. However, in this interplay between business organization, operations, and IT, priorities are often misaligned, delaying implementation. Sometimes projects are so delayed that implementation does not yield meaningful results.

  4. Lead Assignment On the other hand, data dictionaries are changed too frequently along with changes in business strategy. Despite delays in updating backend IT systems, managing impact on business processes becomes difficult if all dependencies are not well documented. Furthermore, a mismanaged data dictionary inevitably creates confusion across functions, leading to an operational and reporting nightmare.

  5. OWNERSHIP Match Company Lists A data dictionary is often owned and maintained by IT departments, with relevant information collected from business users. The process of defining and validating data dictionary takes weeks if not months. Because most applications are now directly accessible to business users thanks to SaaS and Cloud, ownership of relevant data dictionaries are better off with businesses. Ultimately, a group of business affiliated Ops team, or the business itself can do much better governance than a layered team.

  6. AVAILABILITY Account Matching Ideally, data dictionaries should be defined and deployed at the data source, and made available to other parts of the system using Application Program Interface (API) integration. This ensures that no two definitions of the same term exists, and all operational and reporting tools refer to the same definition. Businesses possessing the ability to quickly access definitions modify them on short notice have tremendous operational agility.

  7. CONTACT INFORMATION Address : 4701 Patrick Henry Drive Building 25 Santa Clara CA, 95054 United States E-mail : info@vyakar.com Phone : +1 844-321-LEAD (5323) For more information please visit our website:- www.vyakar.com

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