{"id":23285,"date":"2024-11-06T16:48:18","date_gmt":"2024-11-06T11:18:18","guid":{"rendered":"https:\/\/www.verdantis.com\/?p=23285"},"modified":"2026-01-12T16:31:39","modified_gmt":"2026-01-12T11:01:39","slug":"master-data-governance","status":"publish","type":"post","link":"https:\/\/www.verdantis.com\/master-data-governance\/","title":{"rendered":"What is Master Data Governance & How to Implement it?"},"content":{"rendered":"\t\t
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Quick Overview<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Data Governance as a concept emerged in the early 2000s during the dot com era, initially the concept was largely confined to IT teams and primarily entailed categorizing and cataloguing several data points to streamline processes, manage the origin of the data and ensure its relevance<\/p>

Within the last couple of years, however, two key changes in technology and business landscape has led to the emergence of Master Data Governance as a key concept that encapsulates more or less the same objective but has become much wider in scope.\u00a0<\/span>The two key changes were;<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tAdoption of Big Data\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Companies began swiftly moving to ERP systems and relying on large databases that captured key information and drove business decisions at a micro as well as macro level – For instance, most business decisions today across procurement, hiring, vendor onboarding and supplier relationships rely on analytics and data that are interpreted from the ERP systems<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tOperational Scale\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Very few professionals back in 1900s would have expected that a single entity would be responsible for production at such a large scale. Today, it’s extremely common for corporations to operate multiple large-scale production facilities that are responsible for manufacturing billions in finished goods or servicing projects that are easily north of billions of dollars in scope. In short, consolidation of business activities and the increasing scale of operations have pretty much left companies with no option but to make data-driven decisions by relying on Software solution and ERP systems for better operational ease.\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Master Data Governance (Basics)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Due to inevitable human errors, this reliance on ERP systems, company data and technology can be a double-edged sword for companies.<\/p>

Over time, poor practices in uploading, maintaining and removing the data can lead to “Junk” data in the ERP, which can cripple business processes and lead to production downtime, high inventory carrying costs, poor supplier relationships and a total absence of insights into customer behavior.<\/p>

This trend has underscored the need for a “Master Data Governance” system that is a critical piece in Master Data Management and possibly the biggest lever that companies can leverage to ensure their Master Data Systems are accurate, reliable and up to date.<\/span><\/p>

A Master Data Record is a central, authoritative set of information about a key entity in an organization, such as a customer, product, supplier, or employee.<\/p>

It is used across various systems and processes to ensure consistency and accuracy. Master data typically includes essential details like names, addresses, IDs, and other key attributes that remain relatively stable over time and are shared across the organization<\/p><\/div><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Master Data Governance (MDG) functions as a structured control layer over enterprise master data, enforcing data integrity, standardization, and compliance across domains such as Material, Customer, Vendor, and Finance.<\/p>

It ensures that master data creation, updates, and deactivation occur in a controlled and auditable manner, mitigating risks associated with inconsistent or inaccurate data.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Domain-Specific Models<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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MDG relies on domain-specific data models that define:<\/p>