What Is Master Data Management (MDM)? Definition, Examples, and Benefits (2024)

An organization’s data often comes from many sources and is touched by many people. If not effectively managed, this can result in redundant and even conflicting information. As your organization grows and becomes more complex, establishing processes and tools for managing your most critical data at scale is essential.

What is master data?

Master data is all the data critical to the operation of a business. This data is usually shared across the enterprise, and multiple departments and personnel depend on it for decision-making. The types of master data vary depending on the type of organization, but they all share some similar qualities:

  • Less volatile. Master data tends to change less frequently than other data, but it does change. Data sets that never change are rarely classified as master data.
  • More complex. Master data usually includes large data sets that are more complex in nature with multiple variables, as opposed to simpler entities that could be merely tallied or counted. Master data requires processes to keep information up to date and accurate.
  • Valuable or mission-critical. Master data is essential to an organization’s day-to-day operations as well as analytical decision-making. Master data is used and reused over and over again.
  • Non-transactional. Master data does not usually include transactional data. However, master data can be part of the transaction process, such as data describing the customer, product, or point of purchase.

Example of master data

Customer information—such as names, phone numbers, and addresses—is an excellent example of master data. This data is less volatile but occasionally needs to be updated when a customer moves or changes their name. If an organization has a large number of customers, this data can become very complex and the smallest error could result in a missed opportunity. Customer data is valuable because it provides a way for the organization to connect to its customers and delivers important insights for decision-making. Additionally, customer data is not considered transactional, even though it can be used when describing transactions. If customer information lives in multiple locations instead of a master database, then employees have no single source of truth for this essential data. A customer could, for example, update their contact information online in a logged-in account — but, if a different system handles email distribution, then the customer would no longer receive marketing communications. Mishandled, this could result in a real customer who appears to exist in one company database, but not another. Establishing a master data management solution can be an important step for growing organizations.

What is master data management?

Master data management includes the tools and processes an organization uses to establish a single source of truth for all its critical data. Through master data management, an organization can disseminate consistent and accurate master data across its entire enterprise. While a data management system collects, organizes, protects, and stores all of an organization’s data, master data management objectives include organizing, centralizing, and updating only master data. Master data management should also not be confused with enterprise data management (EDM), which involves inventorying and governing your business’s data and getting your organization on-board with the process. It is also important to note: not all organizations need master data management. And if it’s not necessary to your business, it might not make sense to build the requisite infrastructure. However, if your organization is very large or complex, distributes data often, or frequently goes through mergers and acquisitions, a master data management solution is likely to help solve some of your critical data challenges.

Benefits of master data management

With master data management capabilities, your organization can improve their master data quality, resulting in fewer errors and less redundancy. Some benefits of establishing master data management include:

  • Improve efficiencies. With all your organization’s most critical data up to date in one shared location, you can eliminate information silos and increase collaboration.
  • Build confidence in the data. With silos reduced, mission critical data can be centrally governed and maintained.
  • Save resources. With automated and streamlined data processes, your organization can save time on upkeeping infrastructure activities that otherwise could drain time and resources.
  • Provide more value. With all your critical data in one place, you can take advantage of important insights for delivering a personalized customer experience.

Examples of how to leverage master data management

Many companies use master data management to organize, centralize, update, and distribute product data. If a company makes money from selling products, it’s essential that everyone in the company have access to a single accurate source of information for those products. A master data management solution would oversee and assist in the creating, reading, updating, and deleting (CRUD) cycle of this master data.

  • Create. When a new product is purchased, acquired, or manufactured, the product information would be added to the company’s master data, and a master data management solution would be needed to streamline or even automate this process.
  • Read. People throughout the company need access to product data—from manufacturing to sales divisions—and a master data management solution helps guarantee that each of these people has access to the same information. The solution could also be the source of product information for a company’s website or order-processing system.
  • Update. If a product goes through changes, whether that be packaging, price, materials, etc., a master data management solution makes it easier to make those updates and disseminate the changes throughout the company.
  • Delete. When a product is replaced or no longer available, a master data management solution would provide the tools to delete the product information from the data set.

Expand data management capabilities across your organization

As your organization grows and more people need access to the same data, master data management will be essential to providing a single point of reference for important information. However, master data is not the only data that needs to be cleaned, organized, and distributed. Make sure your organization is investing in data management solutions that increase visibility, reliability, security, and scalability and improve data-driven decision-making.

What Is Master Data Management (MDM)? Definition, Examples, and Benefits (2024)

FAQs

What Is Master Data Management (MDM)? Definition, Examples, and Benefits? ›

Master data management includes the tools and processes an organization uses to establish a single source of truth for all its critical data. Through master data management, an organization can disseminate consistent and accurate master data across its entire enterprise.

What is master data management with example? ›

For example, MDM can ensure that when customer contact information changes, the organization will not attempt sales or marketing outreach using both the old and new information. Common business initiatives addressed by MDM include: Customer experience. Analytics.

What is master data management What are the benefits of MDM? ›

By adopting MDM, businesses can eliminate data confusion and set the stage for informed decision-making. Master data management is a straightforward approach to organizing and centralizing data across a company. Think of it as a trusted guide, helping you navigate the overwhelming world of data.

What is MDM in simple terms? ›

Master data management (MDM) is a process that creates a uniform set of data on customers, products, suppliers and other business entities across different IT systems.

What is the main purpose of MDM? ›

The goal of mobile device management is to maximize device support, organizational functionality, and security while allowing a degree of user flexibility, such as the use of BYOD.

What is data management with example? ›

Data management is the practice of collecting, organizing, protecting, and storing an organization's data so it can be analyzed for business decisions. As organizations create and consume data at unprecedented rates, data management solutions become essential for making sense of the vast quantities of data.

What are the 3 types of master data? ›

Master Data Types and How They Influence Business Decisions

Among these, three specific MDM types – customer data, product data, and financial data – are fundamental. They form the backbone of any organization, offering crucial insights into customer behavior, product performance, and financial health.

What are the three components of master data management? ›

Master Data Management (MDM) rests on three primary pillars: customer data, product data, and financial data. Each of these components plays a unique role within the MDM framework and provides insights that are essential for your business operations.

What is MDM and how IT works? ›

Mobile Device Management (MDM) enables IT admins to securely monitor and manage the mobile devices that access sensitive business data. It includes storing essential information about mobile devices, deciding which apps can be present on the devices, locating devices, and securing devices if lost or stolen.

Can MDM see your screen? ›

If your Apple device is enrolled in a mobile device management (MDM) program, then your supervisor might be able to see your screen and monitor your device usage. However, if your device is not enrolled in an MDM program, then your supervisor should not be able to see your screen.

What are the five core functions of master data management? ›

Most centralized MDM programs and the platforms that succeed in this pursuit will demonstrate some or all of the following elements:
  • Extends Existing Data Governance Program and Tools.
  • Cleansing and Correction of Erroneous Data.
  • Data Quality Monitoring and Reporting.
  • Business Taxonomy and Hierarchy Management.
Jun 7, 2018

Can you give some examples of master data? ›

Some of the most common examples of master data include: Customer information: Names, phone numbers, addresses, and other critical customer insights are excellent examples of master data. Maintaining accurate customer data ensures you can enhance and maintain positive relationships with clients.

What are examples of master data objects? ›

The most commonly found categories of master data are parties (individuals and organisations, and their roles, such as customers, suppliers, employees), products, financial structures (such as ledgers and cost centres) and locational concepts.

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