{"id":264,"date":"2018-04-04T13:56:52","date_gmt":"2018-04-04T21:56:52","guid":{"rendered":"http:\/\/www.lightsondata.com\/?p=264"},"modified":"2018-04-04T13:56:52","modified_gmt":"2018-04-04T21:56:52","slug":"benefits-risks-of-standard-data-models","status":"publish","type":"post","link":"https:\/\/www.lightsondata.com\/benefits-risks-of-standard-data-models\/","title":{"rendered":"The benefits and risks of standard data models"},"content":{"rendered":"

Templates for data models can be found for different industries, such as education and learning, healthcare, energy and utilities, banking and financial markets, insurance, telecommunications, retail, aviation, and more others. As a quick FYI, these are often put together by standards bodies or vendors of different systems and databases. They can also go by different names such as a standard data model<\/em>, industry data model<\/em>, or industry standard data model (ISDM). <\/em>If you\u2019re currently evaluating if you should be using them or not, please first\u00a0consider the following risks and benefits.<\/p>\n

Data Model Benefits:<\/strong><\/h2>\n
    \n
  • Can help identify business processes and associated dimensions<\/li>\n
  • Can reduce the time and effort of designing the data model<\/li>\n
  • Will address most common business processes and provide business terminology<\/li>\n
  • Can be extended to address your own business environment<\/li>\n
  • Often includes data warehouse design models<\/li>\n
  • Besides the logical data model, it might include the physical model or a database script and data exchange schemas (great if you’re building or extending\u00a0a system)<\/li>\n
  • Might include pre-built ETL jobs, metrics, and reporting templates – note that\u00a0these are also usually tied to the vendor\u2019s products and services<\/li>\n<\/ul>\n

    \u00a0\"risks<\/h4>\n

    Data Model Risks:<\/strong><\/h2>\n
      \n
    • Some of your source data won\u2019t be able to be translated and transformed into the industry model\u2019s generic language<\/li>\n
    • Does not necessarily follow best practices for business reporting, analytics, or source system data capture<\/li>\n
    • Besides the models being industry specific they can also be country or region specific so remember to take this under consideration<\/li>\n
    • Extensive work and challenges will occur to translate the source data language into the industry model and then translate it again into a vocabulary used in the final presentation layer for the business users to make sense of it. This is probably the biggest ignored risk so here is an example to clarify what I mean: “Let’s assume you\u00a0have data stored into a Customer_Type_A<\/em> field which translates to the industry model as Customer_Code_001<\/em> which needs to be outputted as Active Customer<\/em> in the presentation layer.” Can be convoluted and in the modeling process, some of these insights and contexts can be lost.<\/li>\n
    • Could disengage\u00a0with business stakeholders and forgo eliciting the business requirements in favor of solely following the industry data model<\/li>\n<\/ul>\n

      Most of the time, industry standard data models can offer a lot of value, especially when needing them to develop and launch new products and services, but plan for mitigating the associated risks if you\u2019re using them as a starting point to map your own business\u2019 data model or develop your data warehouse, your own system,\u00a0 and\/or\u00a0enterprise data strategy.<\/p>\n","protected":false},"excerpt":{"rendered":"

      Templates for data models can be found for different industries, such as education and learning, healthcare, energy and utilities, banking and financial markets, insurance, telecommunications, retail, aviation, and more others. As a quick FYI, these are often put together by standards bodies or vendors of different systems and databases. They can also go by different […]<\/p>\n","protected":false},"author":1,"featured_media":266,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[2],"tags":[13],"class_list":["post-264","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-governance","tag-data-model","post-wrapper","thrv_wrapper"],"yoast_head":"\nThe benefits and risks of standard data models | LightsOnData<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.lightsondata.com\/benefits-risks-of-standard-data-models\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The benefits and risks of standard data models | LightsOnData\" \/>\n<meta property=\"og:description\" content=\"Templates for data models can be found for different industries, such as education and learning, healthcare, energy and utilities, banking and financial markets, insurance, telecommunications, retail, aviation, and more others. 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