From Operational Data Maintenance to Strategic Data Architecture Master Data Management at Chr Hansen Attila Marton Lasse Friis Nielsen Nina Baekbo Andersen
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I spent over 30 years in operational data maintenance at Chr Hansen, and since I was not used to working in a corporate environment, I was given the task to help the company switch to strategic data architecture. In this task, we used the SAS Data Modeler to create data models for all companies. The result was a very complex model with numerous fields and hierarchies, which we were tasked to simplify to make it easier for us to handle and update. My first step was to make a list of all fields and create a hierarchy
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Operational Data Maintenance, a practice in most organizations, is a crucial function in ensuring data quality, consistency, and reliability. Operational Data Maintenance at Chr Hansen ensures all operational data is up to standard (consistent, reliable, current, accurate) and provides the basis for the entire manufacturing process. Operational Data Maintenance is a critical component of Chr Hansen’s productivity and competitive advantage. Chr Hansen’s Product Engineering Team at Tromsø uses Operational Data Maintenance and Data Analysis to
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At Chr Hansen, as a leading supplier of active and functional food ingredients, we support our customers with products that are healthy and delicious. Going Here As one of our main activities we deliver a wide range of raw ingredients, which are used by our customers in their manufacturing process. A part of our products is “raw material” which means that it has not yet been processed. Raw ingredients are a critical part of the value chain as they help the food production process to take place. At Chr Hansen, our ingredient “raw material” is
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I think Operational Data Maintenance is an essential task in Chr Hansen, and it involves lots of work. In this task, we need to perform Operational Data Maintenance, which means, updating or deleting data. In addition, we also need to make sure that the updated data is consistent with the latest data from HR, Finance, etc. As far as Strategic Data Architecture is concerned, in my opinion, it is vital to make sure that all data in Chr Hansen is structured, which includes things like Data Model, Master Data
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1. Operational Data Maintenance Chr Hansen is one of the major players in the pharmaceutical industry, and the company is always striving to improve processes, speed, efficiency, and profitability, among others. At Chr Hansen, data maintenance (i.e., data quality, timeliness, completeness, integrity, accuracy) is an essential pillar in its daily operations. I. Operational Data Maintenance Process: The operationally oriented approach at Chr Hansen is based on continuous monitoring of process
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Operational data maintenance (ODM) is the process of keeping operational data (ODS) up to date by removing errors, invalid values, etc. While the maintenance part of ODM has a simple and well-understood approach, the strategic data architecture and master data management is a complex concept that needs careful consideration. In this presentation, we will present an to ODM, a practical model for updating operational data, and how it relates to a broader data management strategy, Master Data Management (MDM). ODM is essential for companies that operate in the
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From Operational Data Maintenance to Strategic Data Architecture Master Data Management at Chr Hansen Attila Marton Lasse Friis Nina Baekbo Andersen It’s not every day I get the opportunity to work in a company like Chr Hansen. Here, we work tirelessly to create and maintain data and make sure that this data is accurate, reliable, and secure. I joined Chr Hansen in the Operational Data Maintenance (OIM) department, where my role is to make sure that all the data
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From Operational Data Maintenance to Strategic Data Architecture Master Data Management at Chr Hansen (OOMDA) is a key business initiative, aimed at integrating data management capabilities across the group. In this case study, we follow the journey and strategic considerations in designing a data model for master data, followed by a discussion of technical approaches. Our findings were: OOMDA at Chr Hansen: An Overview Chr Hansen, a Danish multinational confectionery and food company, faces a massive volume of