{"id":94,"date":"2016-12-15T22:24:12","date_gmt":"2016-12-15T21:24:12","guid":{"rendered":"http:\/\/dev.thediar.com\/?page_id=94"},"modified":"2019-07-09T19:55:29","modified_gmt":"2019-07-09T17:55:29","slug":"data-integration-processing","status":"publish","type":"page","link":"https:\/\/www.thediar.com\/en\/what-we-do\/data-integration-processing\/","title":{"rendered":"Data Integration and Processing"},"content":{"rendered":"

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Your company or agency has\u00a0data<\/strong>\u00a0coming from very different sources: transactional databases, CRM, ERP, Digital Analytics tools, Spreadsheets, APIs, Web Services, Social Networks, etc. Moreover, the data sources will\u00a0keep growing<\/strong>\u00a0(in number and volume) as the business evolves.\u00a0Data<\/strong>integration<\/strong>\u00a0consists of gathering, crossing and joining, enrich, consolidate, and make this information systematically\u00a0available<\/strong>\u00a0in an agile, fast, and efficient way. If Data is one of the most valuable assets in a company, the correct\u00a0consolidation process<\/strong>\u00a0is for sure the second most valuable asset.<\/p>\n

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The very last goal of Data Integration and Processing is to transform your company\u2019s data into\u00a0useful<\/strong>information<\/strong>for<\/strong>decision-making<\/strong> and business analysis<\/a>. To move and transform data from different business units and processes in an efficient way is one of the hardest challenges to maximize the effectiveness of data usage.<\/p>\n

Many times information is organized in\u00a0silos<\/strong>: different isolated areas, departments, and business units can\u2019t cross data from different systems, giving an incomplete vision. This results in a huge investment of time crossing and consolidating data and not on analyzing it. Another common problem is that companies lack a\u00a0source of truth<\/strong>\u00a0for their reports: depending on the queries used or the sourced used the output might be different.<\/p>\n

ETL<\/strong>\u00a0processes (Extract, Transform, Load) help us in solving these problems. Having the data integrated by implementing a DWH<\/strong> (Data Warehouse) allows having a single consolidated data repository\u00a0from which you can extract data in an efficient, fast, automated, and reliable way.<\/p>\n<\/div>\n

As an example, we can list the following applications:<\/p>\n