Data Quality Success Stories / Zelusit Bulgaria https://Zelusitbg.com/projects-tag/data-quality-success-stories/ Thu, 06 Apr 2023 12:27:13 +0000 en-US hourly 1 https://wordpress.org/?v=6.2.2 Data Ingestion Readiness Framework and Pilot Implementation https://Zelusitcorp.com/success-stories/data-ingestion-readiness-framework-and-pilot-implementation/ https://Zelusitcorp.com/success-stories/data-ingestion-readiness-framework-and-pilot-implementation/#respond Fri, 17 Mar 2023 15:14:04 +0000 https://Zelusitcorp.com/?post_type=avada_portfolio&p=10506 Zelusit implemented a data ingestion readiness framework that facilitate a seamless Azure cloud migration.

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]]> https://Zelusitcorp.com/success-stories/data-ingestion-readiness-framework-and-pilot-implementation/feed/ 0 10x Faster Data Processing with an MDM Solution https://Zelusitcorp.com/success-stories/10x-faster-data-processing-with-an-mdm-solution/ Mon, 01 Feb 2021 09:39:00 +0000 https://Zelusitcorp.com/?post_type=avada_portfolio&p=716 Zelusit developed an end-to-end Master Data Management (MDM) solution based on Ataccama to speed up data processing 10x and customer service 3x. Learn more.

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]]> 100% Error-Free Dynamics 365 CRM Data https://Zelusitcorp.com/success-stories/data-quality-solution-for-dynamics-365-crm/ https://Zelusitcorp.com/success-stories/data-quality-solution-for-dynamics-365-crm/#respond Thu, 07 Jan 2021 12:55:39 +0000 https://Zelusitcorp.com/?post_type=avada_portfolio&p=626 Zelusit built and implemented a D365 Data Quality plug-in that integrated with the client’s Dynamics 365 CE. Learn more here.

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]]> https://Zelusitcorp.com/success-stories/data-quality-solution-for-dynamics-365-crm/feed/ 0 Enhanced Royalty Payments Through Data Aggregation and Preparation Platform https://Zelusitcorp.com/success-stories/data-aggregation-and-preparation-platform/ https://Zelusitcorp.com/success-stories/data-aggregation-and-preparation-platform/#respond Tue, 02 Jun 2020 14:10:22 +0000 https://Zelusitcorp.com/?post_type=avada_portfolio&p=61 A solution had to be created to enable flexible, automated cleansing and matching of usage data against the clients knowledge base. Read more.

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