{"id":43107,"date":"2021-05-28T18:15:40","date_gmt":"2021-05-28T15:15:40","guid":{"rendered":"http:\/\/datalabsua.com\/ua\/?p=43107"},"modified":"2024-05-24T16:25:33","modified_gmt":"2024-05-24T13:25:33","slug":"main-bi-drivers","status":"publish","type":"post","link":"https:\/\/datalabsua.com\/en\/main-bi-drivers\/","title":{"rendered":"Main BI drivers"},"content":{"rendered":"

Currently data is the \u00abfossil oil<\/em>\u00bb \u2013 the main business source for decision making process and future business development. For getting all benefits of corporate information assets it is too important to build proper data governance process<\/a><\/em><\/strong>.<\/p>\n

A brisk growth data storage, data integration and data processing technologies promoted evolution of an enterprise data warehouse into structured abilities set for analysts. At the moment report and analytics ecosystems provide possibilities for technologists to understand better business data consumers problems, work more effectively with end-users’ requests and create customized application.<\/p>\n

During the time data consumers became more exacting. Currently users have deeper understanding of corporate data assets. It implies more sophisticated approach from data processing engineers side (data consumers needs and expectations identification, collected requirements synthesis into BI solutions project).<\/p>\n

The potential data sources number is increasing that instigates the emergence of the following specialist team tasks:<\/p>\n

    \n
  1. Metric clarity ensuring<\/strong><\/li>\n<\/ol>\n

    Specialists need to have proper understanding of what information business user needs, structured process and corresponding tools for soliciting and requirements and business terms documenting.<\/p>\n

      \n
    1. Information sources identifying and managing<\/strong><\/li>\n<\/ol>\n

      Specialists team has to identify corporate data sources that can be used to develop BI solutions and create sources list. Such list will help end-users to define the best information source for analytics application development.<\/p>\n

        \n
      1. Consistency ensuring <\/strong><\/li>\n<\/ol>\n

        Different information sources can represent the same or similar concepts in different ways. In this case data architects have to harmonize definitions for business terms and ensure consistency in both definition and semantic. \u00a0\u00a0<\/strong><\/p>\n

          \n
        1. Maintaining relationship among terms<\/strong><\/li>\n<\/ol>\n

          Business users are increasingly aware of the relationship between different information parts (for example, \u00abclient\u00bb and \u00abcustomer\u00bb can have the same meaning). Architects\u2019 task to discover such conjunctions, document and manage them.<\/p>\n","protected":false},"excerpt":{"rendered":"

          Currently data is the \u00abfossil oil\u00bb \u2013 the main business source for decision making process and future business development. For getting all benefits of corporate information assets it is too important to build proper data governance process.<\/p>\n","protected":false},"author":2,"featured_media":44975,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[79,24],"class_list":["post-43107","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-fridaypost","tag-business-intelligence"],"_links":{"self":[{"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/posts\/43107","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/comments?post=43107"}],"version-history":[{"count":14,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/posts\/43107\/revisions"}],"predecessor-version":[{"id":43122,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/posts\/43107\/revisions\/43122"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/media\/44975"}],"wp:attachment":[{"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/media?parent=43107"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/categories?post=43107"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datalabsua.com\/en\/wp-json\/wp\/v2\/tags?post=43107"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}