From Operational Data Maintenance to Strategic Data Architecture Master Data Management at Chr Hansen
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I have worked as Data Management Consultant for 5 years for a company called Chr Hansen. My focus was on Master Data Management and it is the cornerstone of the company’s organization. Here’s how it works: At Chr Hansen, we produce a vast amount of data through production, sales and customer relationship management systems. We manage a large amount of data related to the nutritional value of different food ingredients and the various nutritional needs of the food production industry. The data is stored in an internal, central database and it is not only used for
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I work as a consultant for a global chemical and food company, Chr Hansen. visit our website Recently I have been tasked to lead the transition to strategic data architecture for the company. I’ve been doing this for a few years now and I am an expert in this topic. The company has many domains like Dairy, Ingredients, Nutrition & Wellness, and Ingredients. In the last 12 months, we have made significant investments in IT infrastructure, data warehousing, data lakes, and new
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I am a data management professional with an extensive background in IT infrastructure, data architecture, and analytics, which I’ve utilized to lead complex data solutions projects and drive organizational transformation. I’ve gained hands-on experience from leading various projects for some of the most innovative companies in the food industry. For instance, I led a project to establish the company-wide master data management system, which involved creating a data architecture, defining functional requirements, and identifying system integration risks. The project involved a significant amount of collaboration with different business units and stake
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Operational Data Maintenance at Chr Hansen, as described in their case study, was a painfully slow, overly manual process, requiring significant human effort to maintain accurate data from various sources. The case study also described challenges with integrating these disparate sources of data with a limited IT infrastructure, leading to slow data flow and poor decision-making. To address these challenges, we conducted our analysis and recommendations for Chr Hansen. We identified several key areas of opportunity that can lead to more efficient data management practices. Section 2:
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Challenge: Data was scattered in various silos, and information management was a nightmare. Solution: By building an integrated data management system, Chr Hansen can centralize data across their various divisions, improve data governance, and streamline processes. find out here Key Steps: 1. Integration and data transformation: Chr Hansen integrates different sources of data, cleans and transforms them, and standardizes data. 2. Master Data Management: With master data in place, they can create uniform product representations and improve customer experience.
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– Operational Data Maintenance: Operational data, such as sales data, customer data, and inventory data, is fundamental for maintaining the integrity and accuracy of the company’s data. This is done through operations, where data is collected from the production line to be maintained and organized in a system to ensure maximum efficiency. This data, stored in the database, is used by management to make informed decisions regarding operational efficiency and the business’s overall performance. – Strategic Data Architecture Master Data Management: In contrast, data architecture master data management