{"componentChunkName":"component---src-templates-storyblok-entry-js","path":"/blog/data-classifications-governed-inherited/","result":{"pageContext":{"story":{"id":"storyblokentry-173261913492250-default","name":"Classify Sensitive Data the Way Real Organizations Work","created_at":"2026-05-05T14:04:31.841Z","uuid":"466fc017-0e61-4b0d-9a33-c2b97b344516","slug":"data-classifications-governed-inherited","full_slug":"blog/data-classifications-governed-inherited","content":"{\"tag\":\"Feature update\",\"_uid\":\"a85484aa-d3f0-4191-bd03-f085348af6f3\",\"seoMeta\":{\"_uid\":\"caca655c-ef32-42c2-a7ce-c0fd8e419d92\",\"title\":\"Governed Data Classification with Inheritance, Built for Compliance  | Accurity Blog\",\"plugin\":\"accurity_meta\",\"ogImage\":\"https://a.storyblok.com/f/91820/2500x1312/7a3d3e4bc2/classification-og-img.jpg\",\"priority\":0.7,\"changefreq\":\"daily\",\"description\":\"Accurity Data Classifications combine governed taxonomy, expert stewardship separate from domain ownership, and automatic hierarchical inheritance. Built for GDPR, BCBS 239, EHDS, DORA, AI Act, and HIPAA compliance. \"},\"blogBody\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"In Finance, the domain owner is accountable for the metadata, while data stewards manage the day-to-day work. They understand the business meaning of every column, the right definitions, and the upstream sources. They are not privacy experts, and that should not be their role. Asking them to decide what counts as PII inside their domain is asking the wrong question. The same applies to Marketing, HR, Operations, and every other domain. The expertise that decides \\\"this is PII\\\" lives in a different team altogether. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"That is why \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}}]},{\"text\":\"Accurity Data Classifications \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}},{\"type\":\"bold\"}]},{\"text\":\"reflect how governance responsibilities are actually divided in real organizations. Privacy and compliance experts maintain the classification taxonomy and decide what gets classified. Domain owners and data stewards continue to manage their domain metadata. Classifications then propagate automatically through the data hierarchy, so coverage stays complete without anyone chasing it.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Two Capabilities, One Launch\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Data Classifications brings together two capabilities that belong together: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Governed classification.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" The classification taxonomy (PII, Confidential, GDPR-relevant, and so on) is owned by classification stewards. Only they can define classifications and apply them to assets. Assignment can also go through approval workflows, so every label is intentional and auditable. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Inherited classification.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" When an object is classified, the classification automatically flows down its hierarchy. Classify a schema, and its tables and fields inherit it. Classify a term group, and its terms inherit it. Classify a domain in the business data model, and its entities and attributes inherit it. Coverage is complete from one decision. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"type\":\"image\",\"attrs\":{\"id\":176731473321902,\"alt\":\"\",\"src\":\"https://a.storyblok.com/f/91820/267x150/d72e99b416/clasification2.svg\",\"title\":\"\",\"source\":\"\",\"copyright\":\"\",\"meta_data\":{}}}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Expertise Where It Belongs\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Accurity’s \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"text\":\"Domain Management\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.accurity.ai/platform/all-features/\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}},{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#0563C1\"}},{\"type\":\"underline\"}]},{\"text\":\" already lets organizations delegate metadata stewardship by domain, so Finance owns Finance, HR owns HR, and so on. Data Classifications adds a second, parallel stewardship dimension: classification stewardship. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Classification stewards are typically your privacy officers, security architects, or compliance leads. They work across domains and apply classifications wherever needed. Domain stewards continue to own their domain content, but classifications are off-limits to them. The two stewardships meet at the asset, but neither steps on the other. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"The result is a model that mirrors how regulated organizations actually operate. Privacy decisions stay with privacy experts. Domain decisions stay with domain experts. Audit gets a clean record of who decided what, and why. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Classify Once, Cover Everything\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Classifying every individual data object by hand does not scale. Inherited classification solves this in two ways, both available today. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Hierarchical inheritance\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" propagates classifications down through the object hierarchy: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Data catalog: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"classify a data structure, and its data fields inherit the classification. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Business glossary: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"classify a term group, and its terms inherit the classification. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Business data model: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"classify a parent entity, and its attributes inherit the classification. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Lineage-based inheritance\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" propagates classifications downstream through Accurity’s lineage graph. Classify a source field as PII, and every derived dataset that depends on it inherits the same classification automatically. As data moves through pipelines, transformations, and reporting layers, sensitivity follows it. Privacy stewards classify at the source once, and coverage extends across every downstream asset that carries the same data, no matter how many systems it passes through. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"A privacy steward applying “PII” to a customer table classifies every column inside it through hierarchy, and every downstream report that uses that data through lineage. One decision, complete coverage. If a new column or downstream table appears later, it inherits the classification automatically. No manual catch-up, no coverage gaps, no last-minute audit panic. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"See It in Action\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Three short examples of what becomes possible: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"A privacy officer classifies the customers table as PII. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"All 47 columns inherit the classification instantly. The Finance and Marketing stewards who use this table see the PII flag, but cannot remove or change it. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"A compliance lead reviews GDPR-relevant data across the organization. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"A single search returns every classified asset, regardless of which domain owns it, because classifications cut across domains by design. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"A new column appears in a classified table. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"It inherits PII automatically. The HR domain steward who added it does not have to remember a privacy rule, and the privacy steward does not have to police every change. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"type\":\"image\",\"attrs\":{\"id\":190573708439247,\"alt\":\"\",\"src\":\"https://a.storyblok.com/f/91820/1128x663/3cf0530393/classification-header-img.jpg\",\"title\":\"\",\"source\":\"\",\"copyright\":\"\",\"meta_data\":{}}}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Key Benefits\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}},{\"type\":\"bold\"}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Match real organizational structure\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\", with parallel stewardship for domain experts and classification experts \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Scale coverage automatically\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" through hierarchical inheritance, so classifications reach every relevant asset without manual work \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Strengthen compliance posture\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" for GDPR, BCBS 239, EHDS, DORA, AI Act, HIPAA, and internal regulatory requirements \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Keep audits clean\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" with a complete trail of who applied or changed each classification, and when \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Reduce risk of human error\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\", since the people who own data cannot accidentally misclassify it, and the people with classification authority do not have to chase every asset \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Why It Matters \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}},{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"The wave of new regulation is not slowing down. GDPR set the baseline. BCBS 239, EHDS, DORA, the AI Act, and a growing list of national rules each ask the same fundamental question: do you know which of your data is sensitive, and can you prove it? \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Tagging data sensitive is easy. Doing it credibly, consistently, and across an organization that operates in domains is hard. Data Classifications is built for that hard problem. Privacy experts set the standard once, the platform enforces it, and inheritance ensures every asset that should carry a classification actually does. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"When the standard is owned by the right people and applied automatically where it belongs, compliance stops being a fire drill. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What Comes Next\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Today’s release covers governed taxonomy, governed assignment, and hierarchical inheritance. The roadmap continues with four directional capabilities, all designed to make classifications even more automatic and powerful: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Automatic discovery and scanning: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"detect sensitive data automatically through pattern matching and AI-driven recognition, surfacing PII, financial, or regulated data candidates for classification stewards to review. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Lineage-based propagation: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"classifications flow downstream through Accurity’s lineage graph, so a PII source automatically classifies the derived tables that depend on it. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Bottom-up aggregation: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"classify columns like email, IBAN, or gender as PII, and the parent table and dataset are automatically flagged as containing PII, with no manual rollup needed. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"Classification-driven rules and enforcement: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"classifications trigger access controls, alerts, and policies, turning labels into action. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":\"left\"},\"content\":[{\"text\":\"👉 Learn how \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"text\":\"Accurity Data Classifications\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" help your privacy and compliance teams govern with confidence, while your domain stewards stay focused on what they do best. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]},\"readTime\":\"5 min read\",\"blogTitle\":\"Classify Sensitive Data the Way Real Organizations Work\",\"component\":\"Blog\",\"ctaBanner\":{\"name\":\"Demo Sign Up Banner\",\"created_at\":\"2020-10-06T07:44:04.047Z\",\"published_at\":\"2022-11-08T12:35:54.864Z\",\"alternates\":[],\"id\":22753865,\"uuid\":\"1683c92b-5601-4ae1-9eef-1306312a0acc\",\"content\":{\"_uid\":\"1800820a-5a48-4f42-b497-fc32c55c653a\",\"image\":{\"id\":null,\"alt\":null,\"name\":\"\",\"focus\":null,\"title\":null,\"filename\":\"\",\"copyright\":null,\"fieldtype\":\"asset\"},\"notes\":\"\",\"style\":\"\",\"title\":\"Want to see Accurity for yourself?\",\"ctaLink\":{\"id\":\"\",\"url\":\"/demo/\",\"linktype\":\"url\",\"fieldtype\":\"multilink\",\"cached_url\":\"/demo/\"},\"component\":\"ctaBanner\",\"ctaButton\":\"GET YOUR DEMO\",\"paragraph\":\"Get a free personalized 1-on-1 demo.\"},\"slug\":\"demo-sign-up-banner\",\"full_slug\":\"cta-banners/demo-sign-up-banner\",\"default_full_slug\":null,\"sort_by_date\":null,\"position\":90,\"tag_list\":[],\"is_startpage\":false,\"parent_id\":22655200,\"meta_data\":null,\"group_id\":\"c739c2d6-5689-4ebd-8059-b4c4ac40c513\",\"first_published_at\":\"2020-10-09T14:08:27.060Z\",\"release_id\":null,\"lang\":\"default\",\"path\":null,\"translated_slugs\":[]},\"resources\":[{\"name\":\"One-Click Business Glossary: Is It Possible?\",\"created_at\":\"2024-10-14T20:01:42.204Z\",\"published_at\":\"2024-10-14T20:42:46.822Z\",\"alternates\":[],\"id\":563222457,\"uuid\":\"c9238552-bd1a-4fb5-b06c-4f3556bc4fb4\",\"content\":{\"tag\":\"Business Glossary\",\"_uid\":\"a85484aa-d3f0-4191-bd03-f085348af6f3\",\"seoMeta\":{\"_uid\":\"caca655c-ef32-42c2-a7ce-c0fd8e419d92\",\"title\":\"One-Click Business Glossary | Accurity Blog\",\"plugin\":\"accurity_meta\",\"ogImage\":\"https://a.storyblok.com/f/91820/1200x630/044ea13c27/blog-post-one-click-bg-og-image.png\",\"priority\":0.7,\"changefreq\":\"daily\",\"description\":\"Uncover the truth about business glossary automation. Learn why human involvement is essential for creating a comprehensive and accurate glossary.\"},\"blogBody\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"text\":\"Think of a business glossary as a dictionary for your company's data. It ensures that everyone understands the meaning of key terms and how they relate to each other.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"We're seeing a major shift. In the past, it was difficult to convince companies that a business glossary was essential. Now, businesses of all sizes and industries understand the need for a shared understanding of data. This is a huge step forward!\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2},\"content\":[{\"text\":\"What is a Business Glossary?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"A business glossary is a vital part of data management. It focuses on clearly defining key business concepts and terms in a standardized way. By creating consistent definitions and showing how these terms relate to each other, it ensures everyone in the organization understands important business concepts. This shared understanding helps avoid confusion and miscommunication.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Creating a business glossary requires teamwork and effort. Teams from different parts of the company need to collaborate to agree on consistent meanings for terms.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"The main benefit of a  business glossary is improved communication across the organization. By standardizing language, it helps all departments understand each other better, leading to better collaboration. This not only increases trust in the company's data but also makes everyone more efficient.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2},\"content\":[{\"text\":\"Definitions of a Business Glossary\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Let's clarify the meaning of a business glossary with a few definitions found while researching the term:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"text\":\"A robust business glossary defines key business concepts and terms and establishes relationships between those terms.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"text\":\"It is an artifact that defines terms for consistent use across a business domain.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"text\":\"It focuses on providing approved and accepted standards for business concepts.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"text\":\"It's the result of company-wide collaboration, enabling effective communication across departments.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"text\":\"According to Gartner, the business glossary is \\\"the semantic foundation for logical data warehouses and business analytics.\\\"\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"While each definition has its nuances, they all emphasize a business-oriented approach based on collaboration and communication, as the terms need to be agreed upon.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2},\"content\":[{\"text\":\"The Challenges of Creating a Business Glossary\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"It's easy to see the value of a business glossary—who wouldn't want smoother communication between teams? Yet many companies hesitate to create one due to some significant challenges:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"text\":\"Time and Effort:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Building a comprehensive glossary from scratch is time-consuming and demands considerable dedication. It requires not only initial investment but also ongoing maintenance to ensure its relevance and accuracy.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"text\":\"Collaboration:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Getting everyone on the same page with data definitions requires company-wide collaboration and agreement. It involves identifying individuals with the right expertise and a willingness to follow a structured process. Varying interpretations of terms across different departments can add complexity.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"text\":\"Standardization:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Identifying and harmonizing critical business terms is a detailed process. This includes determining where and how terms are used, who uses them, and then harmonizing and formalizing these definitions. Ensuring everyone stays updated on these terms is crucial for maintaining consistency.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"text\":\"Customization:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Every company has unique needs and interpretations of business terms. Even within the same company, different departments might define terms differently. What one defines as an \\\"active customer\\\" might differ significantly from another company or a department. While some standardized terms can be reused, the real value of a business glossary lies in its ability to address complex, specific terms unique to each organization or its part.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"It's clear why there is a strong demand to automate this complex process. Automating the creation of a business glossary could save significant time and resources, reducing the effort and costs involved. Additionally, companies believe automation can help overcome some of these challenges by making it easier to maintain consistency and accuracy across the created business glossary.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2},\"content\":[{\"text\":\"Can Business Glossary Creation be Really Automated?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"It's understandable why companies seek a simplified, automated approach to creating a business glossary. However, fully automating this process is not only complex but may also be unrealistic. The collaborative and context-specific nature of a business glossary requires human input and a methodical approach that technology alone cannot fully replace. Given the definition and inherent challenges of a business glossary, it's evident that automating something so deeply tied to the unique needs of business users across different industries is incredibly challenging.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Even if an AI-based framework is developed, automation cannot proceed without existing documentation. If documentation like laws, guidelines, or standards is available, machine learning (ML) and artificial intelligence (AI) algorithms can scan and extract relevant terms. This process could produce a business glossary with ontology, highlight duplications, and identify specific terms based on the provided documents.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"However, these algorithms will not create new business terms or propose new definitions beyond what's in the existing documentation. Human review will still be necessary to refine and validate the results. The question remains: Is this type of business glossary sufficient for ongoing use? While it may provide a strong starting point, it likely won't be comprehensive or adaptable enough without continuous human involvement and oversight.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Although automation can help with initial tasks like term extraction and categorization, the deeper understanding, alignment, and context needed for an effective business glossary still require human expertise. To fully automate this process, a system would need to engage with people, understand their needs and use cases, and facilitate consensus-building—something even AI advanced tools are not yet capable of.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Furthermore, without proper documentation, one must ask: what would the business glossary even be based on? Relying on web-sourced information is certainly not a desirable solution. Automating a process that hinges so heavily on the unique aspects of individual businesses, domains, and data management goals is not just challenging—it's largely unrealistic.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"In conclusion, while certain aspects of the business glossary process may be automated, significant human input and oversight will always be essential.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2},\"content\":[{\"text\":\"The Current State of Business Glossary Automation\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"A quick search on the web for \\\"business glossary automation\\\" might make you think it's a common practice.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"However, a closer look reveals a different reality. Many of these actually refer to data catalog automation, which is simply about quickly importing metadata into a tool. This confusion between business glossaries and data catalogs is common, but they are fundamentally different.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Discussions that do focus on business glossary automation often revolve around specific tasks, like identifying synonyms or similar terms, rather than fully automating the creation of a business glossary from scratch. Therefore, to effectively manage data, it's crucial to begin with a manually created business glossary.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2},\"content\":[{\"text\":\"Conclusion: The Reality of Business Glossary Automation\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Although automation can help with certain aspects of business glossary creation and maintenance, it can't fully replace human involvement. Developing a comprehensive, accurate, and context-specific business glossary requires human expertise, a methodical approach, and collaboration across different business domains.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Starting with a manual, structured approach ensures that the business glossary accurately reflects the unique terms and definitions vital to an organization's specific business processes and needs. Automation can then play a supporting role in maintaining and evolving the glossary, but it can't replace the crucial foundational work done by knowledgeable stakeholders.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"In short, creating a business glossary is a human-driven process. Despite the challenges, the benefits—higher efficiency, improved communication, and increased trust—make it a worthwhile investment. Though the path to a comprehensive business glossary may be demanding, it is a crucial step toward a modern company.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Ready to unlock the real power of your data? \",\"type\":\"text\"},{\"text\":\"Get your demo\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"/demo/\",\"uuid\":\"0bcee893-f4fb-46c4-840f-4f0aba51bcff\",\"anchor\":null,\"target\":\"_self\",\"linktype\":\"story\"}}]},{\"text\":\" of \",\"type\":\"text\"},{\"text\":\"Accurity Business glossary and data catalog\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"/solutions/business-glossary-and-data-catalog\",\"uuid\":\"beedfe72-ff0f-4d1f-8ce0-72c58e19cb08\",\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"story\"}}]},{\"text\":\" and start creating your business glossary today!\",\"type\":\"text\"}]}]},\"readTime\":\"8 min read\",\"blogTitle\":\"One-Click Business Glossary: Is It Possible?\",\"component\":\"Blog\",\"ctaBanner\":\"1683c92b-5601-4ae1-9eef-1306312a0acc\",\"resources\":[\"24e0091e-2dd0-437d-a63b-d105dcc0b580\",\"b886815c-7b07-422c-b1a8-eb06ca5d0d29\",\"a2348fd6-2eef-4ddf-be73-df3fcbc0a271\"],\"blogAuthor\":[\"57faa62a-6285-442d-bf16-266aba5574c3\"],\"headerImage\":{\"id\":17661584,\"alt\":\"\",\"name\":\"\",\"focus\":\"\",\"title\":\"\",\"source\":\"\",\"filename\":\"https://a.storyblok.com/f/91820/1128x663/f14501c49f/blog-post-one-click-bg-header-img.jpg\",\"copyright\":\"\",\"fieldtype\":\"asset\",\"meta_data\":{},\"is_external_url\":false},\"datePublished\":\"October 15, 2024\",\"leadParagraph\":\"We're entering a new era of data. 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With enhanced anomaly detection, historical data-based rules, and customizable global parameters, elevate your data quality management today.\"},\"blogBody\":{\"type\":\"doc\",\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Anomaly Detection: A Powerful New Tool\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"One of the standout features in this release is a highly anticipated tool for detecting anomalies in your data. This innovative concept allows users to define data quality rules based on historical data trends and patterns. With this update, \",\"type\":\"text\"},{\"text\":\"Accurity Data Quality\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"/solutions/data-quality\",\"uuid\":\"0d9eb2c7-54d3-42ff-8e34-230500d58e34\",\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"story\"}}]},{\"text\":\" now offers a powerful combination of two approaches to data quality rules management.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Traditional Rules-Based Approach\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The first approach relies on professional expertise and involves creating data quality rules grounded in logical business rules. For example, certain types of bank accounts are restricted to individuals under 26 years old because they are designed for students. This type of data quality rules creation has been a core component of Accurity Data Quality since its inception.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"New: Historical Data-Based Approach\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The second, newly introduced approach leverages historical data profiles and advanced calculations. If sufficient data has been gathered, users can set rules based on deviations from historical averages, or they can let our AI algorithm define confidence intervals around the mean. When new data falls outside these calculated intervals, a data quality issue is automatically flagged. This new measurement capability is seamlessly integrated into the entire data quality management system, allowing users to accelerate data quality checks even when they lack specific business logic from their departments.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Enhanced Global Parameters for Customization\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Additionally, we've enhanced global parameters to better support projects co-founded by the Czech Republic's technological agency. These global parameters enable full-scale customization of your data quality management processes.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Ready to Experience the Future of Data Quality?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Are you ready to experience the new Accurity Data Quality features? \",\"type\":\"text\"},{\"text\":\"Sign up for a free trial\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://app.accurity.ai/auth/realms/quality/protocol/openid-connect/registrations?client_id=quality&response_type=code&scope=openid%20email&redirect_uri=https://app.accurity.ai/&kc_locale=EN&_gl=1*15wy0um*_gcl_au*NDkzNjU3NTg0LjE3MjAwMzY1MTg.*_ga*MTYxNzUyNjQ5OS4xNjI3NDc2MzIw*_ga_XSTBMMSS8M*MTcyNjMyNjI3MC4xNjUyLjEuMTcyNjMyNjMwNS4yNS4wLjA.\",\"uuid\":null,\"anchor\":null,\"target\":\"_self\",\"linktype\":\"url\"}}]},{\"text\":\" today or \",\"type\":\"text\"},{\"text\":\"request a demo walkthrough\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"/demo/\",\"uuid\":\"0bcee893-f4fb-46c4-840f-4f0aba51bcff\",\"anchor\":null,\"target\":\"_self\",\"linktype\":\"story\"}}]},{\"text\":\" to see how these innovations can transform your data quality management!\",\"type\":\"text\"}]}]},\"readTime\":\"4 min read\",\"blogTitle\":\"Accurity Data Quality: New Release\",\"component\":\"Blog\",\"ctaBanner\":\"\",\"resources\":[\"767eb42c-2f9a-4274-bec2-7354b5f080a6\",\"9f47a619-cc0b-4ee1-854e-86a926197bbc\",\"056394b7-dc3c-4047-8eaa-829cfa83c376\"],\"blogAuthor\":[\"57faa62a-6285-442d-bf16-266aba5574c3\"],\"headerImage\":{\"id\":17335952,\"alt\":\"\",\"name\":\"\",\"focus\":\"\",\"title\":\"\",\"source\":\"\",\"filename\":\"https://a.storyblok.com/f/91820/1128x663/b16362a0bc/blog-post-data-quality-release-header-img.jpg\",\"copyright\":\"\",\"fieldtype\":\"asset\",\"meta_data\":{},\"is_external_url\":false},\"datePublished\":\"September 16, 2024\",\"leadParagraph\":\"We're excited to announce our latest release, designed to elevate your data quality management to new heights. This update introduces cutting-edge features that make it easier than ever to ensure your data is accurate, reliable, and ready for actionable insights. By combining a strong focus on quality and automation, this release empowers your teams to identify and resolve data issues more efficiently, reducing errors and driving more informed decision-making.\",\"headerImageThumb\":{\"id\":17335953,\"alt\":\"\",\"name\":\"\",\"focus\":\"\",\"title\":\"\",\"source\":\"\",\"filename\":\"https://a.storyblok.com/f/91820/524x307/c501709110/blog-post-data-quality-release-card-img.jpg\",\"copyright\":\"\",\"fieldtype\":\"asset\",\"meta_data\":{},\"is_external_url\":false},\"headerImageBigThumb\":{\"id\":17335954,\"alt\":\"\",\"name\":\"\",\"focus\":\"\",\"title\":\"\",\"source\":\"\",\"filename\":\"https://a.storyblok.com/f/91820/663x373/93ad876af6/blog-post-data-quality-release-big-card-img.jpg\",\"copyright\":\"\",\"fieldtype\":\"asset\",\"meta_data\":{},\"is_external_url\":false}},\"slug\":\"accurity-data-quality-new-release\",\"full_slug\":\"blog/accurity-data-quality-new-release\",\"default_full_slug\":null,\"sort_by_date\":null,\"position\":-460,\"tag_list\":[],\"is_startpage\":false,\"parent_id\":55045951,\"meta_data\":null,\"group_id\":\"020ff194-49f7-4317-9216-7e6fb0287b01\",\"first_published_at\":\"2024-09-14T15:15:22.757Z\",\"release_id\":null,\"lang\":\"default\",\"path\":null,\"translated_slugs\":[]},{\"name\":\"Unify Your Data: How Accurity's Integrations Boost Efficiency & Insights\",\"created_at\":\"2024-07-23T20:48:06.956Z\",\"published_at\":\"2024-07-30T15:21:25.232Z\",\"alternates\":[],\"id\":527238210,\"uuid\":\"d8c3ec03-4ca8-4784-82e5-b9e24b29c4dc\",\"content\":{\"tag\":\"Integrations\",\"_uid\":\"19d44e10-4e71-447f-869f-5fad55bdbbe4\",\"seoMeta\":{\"_uid\":\"f3b91eba-21bc-472d-90a2-ec554235e885\",\"title\":\"Unify Data & Gain Insights via REST API | Accurity Blog\",\"plugin\":\"accurity_meta\",\"ogImage\":\"https://a.storyblok.com/f/91820/1200x630/b3e9c67afe/blog-post-rest-api-og-image.png\",\"priority\":0.7,\"changefreq\":\"daily\",\"description\":\"Struggling to integrate data & unlock insights? Accurity's solutions unify your data landscape with powerful integrations, boosting efficiency & giving you the data-driven edge.\"},\"blogBody\":{\"type\":\"doc\",\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2},\"content\":[{\"text\":\"Understanding REST APIs\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Representational State Transfer (REST) APIs are web service conventions that facilitate communication between applications developed in different technologies over the internet. A RESTful API follows a specific architectural style, ensuring consistent, scalable, and flexible data interchange. These APIs are particularly suitable for integrating diverse software systems, whether SaaS products or on-premises solutions, providing valuable data and insights. You can learn more about APIs in one of our previous \",\"type\":\"text\"},{\"text\":\"blog posts\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.accurity.ai/blog/empowering-enterprise-application-integration-with-the-accurity-platform/\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}}]},{\"text\":\".\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2},\"content\":[{\"text\":\"Accurity's Integration Approach\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Accurity employs a comprehensive integration process to connect its platform with various applications, extracting a wide range of data through REST APIs from common SaaS products and on-premises systems:\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3},\"content\":[{\"text\":\"Data Lineage Apps:\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"By connecting to data lineage applications, Accurity can retrieve detailed metadata on data flow within the organization, including data sources, transformations, and destinations. The main goal is to integrate with tools providing automated technical lineage, which is something that Accurity itself is not currently capable of. This integration is crucial for data auditing, compliance, and impact analysis. It provides a comprehensive view of how data moves through the organization, ensuring transparency and accountability in data handling processes.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3},\"content\":[{\"text\":\"Business Analytics Tools:\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Accurity extracts metadata on reports, dashboards, datasets, and data flows from business analytics tools. This allows an in-depth understanding of data utilization, key performance metrics, and KPIs. Ensuring consistency and accuracy in the data used across the organization, this integration supports informed decision-making and strategic planning by providing actionable insights and metrics. Where business analytics tools include glossary terms, Accurity incorporates these terms to enhance data understanding and communication across the organization.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3},\"content\":[{\"text\":\"Database Management Systems (DBMS):\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Accurity accesses metadata for database schemas, tables, views, and indexes from various DBMS, both cloud-based and on-premises. Additionally, Accurity provides profiling of database contents, offering insights into data quality, distribution, and usage patterns. This aids in understanding database structures for optimal performance and manageability. By integrating with these systems, Accurity ensures that database resources are used efficiently, and data integrity is maintained across different database environments.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2},\"content\":[{\"text\":\"Advantages of Implementing REST APIs\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"Integrating REST APIs from various SaaS products and on-premises systems into the Accurity platform offers numerous benefits:\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"•             \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"text\":\"Improved Data Visibility:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Aggregating metadata, glossary terms, and profiling data from different sources provides a comprehensive data landscape, enhancing decision-making and strategic planning. This unified view of data assets allows for better analysis and utilization of data resources.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"•             \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"text\":\"Better Data Governance:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Rich metadata and glossary terms enable the enforcement of robust data governance policies, ensuring data quality, security, and compliance. By having detailed metadata and standardized terminology, Accurity can implement effective data governance frameworks that protect and manage data assets responsibly.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"•             \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"text\":\"Efficient Operations:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Automating metadata management, data collection, and profiling tasks minimizes manual efforts, increasing efficiency. This automation streamlines operations, reducing the risk of errors and freeing up resources for more strategic activities.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"•             \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"text\":\"Scalability:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" REST APIs enable scalable integration, ensuring that growing data needs are met without sacrificing performance. As data volumes and complexity increase, Accurity's integration capabilities can expand to accommodate these changes seamlessly.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":2},\"content\":[{\"text\":\"Conclusion\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"REST APIs have revolutionized data management and governance at Accurity. By integrating with a wide array of SaaS products and on-premises systems, Accurity brings in valuable metadata, glossary terms, and content profiling that enrich its platform. This comprehensive approach adds significant value to Accurity's services, providing clients with better insights and more robust data governance.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"content\":[{\"text\":\"As Accurity continues to innovate and expand its integration capabilities, it remains committed to offering advanced solutions that address clients' evolving needs in a dynamic data landscape. By staying at the forefront of technological advancements and maintaining a strong focus on data governance, Accurity ensures that its clients are well-equipped to navigate the complexities of modern data environments. This ongoing commitment to excellence and innovation solidifies Accurity's position as a leader in data integration and management, empowering clients to achieve their strategic objectives with confidence.\",\"type\":\"text\"}]}]},\"readTime\":\"5 min read\",\"blogTitle\":\"Unify Your Data: How Accurity's Integrations Boost Efficiency & Insights\",\"component\":\"Blog\",\"ctaBanner\":\"25e5b7d0-7bd6-446b-8244-c7497900871b\",\"resources\":[\"767eb42c-2f9a-4274-bec2-7354b5f080a6\",\"5a60aa52-95ac-499b-8b08-33d95fae0884\",\"dae15249-913c-4f3f-9971-1d4b6838342e\"],\"blogAuthor\":[\"57faa62a-6285-442d-bf16-266aba5574c3\",\"9db78892-5f66-427e-9757-467e2bdf9bc8\"],\"headerImage\":{\"id\":16803569,\"alt\":\"\",\"name\":\"\",\"focus\":\"\",\"title\":\"\",\"source\":\"\",\"filename\":\"https://a.storyblok.com/f/91820/1128x663/49454dc85f/blog-post-rest-api-header-img.jpg\",\"copyright\":\"\",\"fieldtype\":\"asset\",\"meta_data\":{},\"is_private\":false,\"is_external_url\":false},\"datePublished\":\"July 30, 2024\",\"leadParagraph\":\"Managing a complex data landscape is critical for businesses today. To stay ahead, seamlessly integrating various data sources and tools is essential. Accurity recognizes the importance of robust data management and has harnessed the power of REST APIs to integrate with both SaaS products and on-premises systems. 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