From Operational Data Maintenance to Strategic Data Architecture Master Data Management at Chr Hansen
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In the early 2000s, Chr Hansen decided to improve its IT management processes to maintain and improve data quality and consistency across its global organization. The company started to focus on two aspects: IT infrastructure, and data quality management. The process of defining processes and strategic plans for the IT infrastructure continued, which was started in 2001 by the data management team (DMT). The DMT consisted of senior IT managers from different departments such as Supply Chain, Research and Development and Quality Assurance. The DMT
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“I work at Chr Hansen as a Data Architect, responsible for Data Structure, Data Management, and Data Quality. Since we started to implement Master Data Management (MDM), we were able to speed up our Data Integration, reduce Errors, and have more accurate data. This was not possible without the implementation of MDM. The implementation of MDM went through several steps. We started in 2015 with Data Migration, then moved into a Data Profiling phase, and finally Data Integration into Master Data Management. One of the most challeng
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In my company (Chr Hansen), I’ve taken on an assignment to re-architect the entire data-oriented system to align with our new data governance policies. One of the big goals of this project is to create a consistent and standardized architecture that will enable us to better manage data for research and development. see this We’ve been working on this for several months now, and I’d like to share some of the highlights. a knockout post The first challenge we faced was in separating our data from our processes. Most of the data we collect goes into a system called the
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“From operational data maintenance to strategic data architecture and master data management in Chr Hansen, let me share with you our experience. Our company, Chr Hansen, is a leading global manufacturer and supplier of dairy and food ingredients and products. We have been using SAP Business One as our backbone platform for almost ten years now, and we have also implemented a cloud-based ERP solution to increase our efficiency and to align our business operations to meet the global market needs. With the ERP solution, we started a digital transformation journey. We had to
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Operational Data Maintenance (OIM) is the process of maintaining and ensuring the consistency and reliability of operations data within an organization. Chr Hansen, a global branded active and health nutrition company, aims to enhance their business processes through their OIM to improve accuracy, timeliness, consistency, and reduce operational costs. The OIM at Chr Hansen is divided into five main functions: data collection, data management, data quality assurance, data integration, and data governance. The purpose of this case study is
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“From Operational Data Maintenance to Strategic Data Architecture Master Data Management at Chr Hansen is the top-of-the-line data solutions offered by Chr Hansen that cover various requirements such as operational, logistical, financial, and business process data. This project is a crucial step in the company’s transformation journey toward becoming a truly data-driven organization. This data management process involved two stages: data collection and data governance. Data Collection. The first step involved gathering raw data from the various sources within Chr Hansen, including