With the increasing complexity in the way businesses are being run globally, it has become a priority to maintain data integrity to drive business intelligence. Master data management (MDM) tools monitor and track essential company data assets and use the data to derive valuable insights to support business intelligence plans. It consists of tools and technology used to process master data across the enterprise. Businesses are empowered to create quality information and derive insights using standardizations and workflows. MDM software is multidomain in nature, supporting several departments such as IT, operations, finance, and others to utilize the data synchronously. Master data might be a small part of the company’s entire data repository, but it is the most complex and valuable of them all.
MDM tools can also include various user interfaces, model-driven APIs, and several automation workflows to drive real-time collaboration between teams. It also supports data governance. Data governance is the process wherein different teams define the data and data quality that the MDM solution will process. Data governance includes key directives that are required to manage several organization bodies, multi-domain teams, standard policies and procedures, qualities, and principles that help to assess the master data.
Multi-domain master data management acts as a single source of truth across different teams and departments and enables organizations to drive digital transformation by using master data. Master data acts as a golden record since it is cleaned and not erroneous in nature. Master data management enables the organization to make data-driven decisions concerning revenue generation, operational agility, time to market, and cross-functional team mobility, among others.
Leveraging master data to take actionable insights and intelligence is driving the need for master data management tools in any type of organization. By having quick access to the most critical data assets, companies can have faster product rollouts, design new marketing campaigns, spend budgets wisely, create cross-sell and upsell opportunities, and more. Data quality is key.
Types of master data
Master data, reference data, and metadata are key data points for any business process. Master data is the core data around which a business process is conducted, and is determined as most relevant to the organization. To understand the type of MDM tools, it is necessary to understand the different types of master data first.
Customer data: This includes information for a business such as customer names, addresses, contact details, customer domains, employee records, sales data, and any other enterprise data. Loyalty programs, online sales, surveys, and several other methods can be used to get customer data.
Product data: This includes information regarding the product or service that a business provides. Information such as product info, parts, and assets are included in this. Product information management (PIM) would manage all the data regarding a business product.
Location data: This includes the data that provides the geographical presence of the company across the globe. It also provides office location, geographic division data, and others.
Others: This includes any other information such as licensing data, warranty information, contract, and others.
Multi-domain MDM solutions can be applied across several different industries to improve operational efficiency. For example, consider a manufacturing company. A manufacturing company needs to be able to access critical data such as product information. In case a manufacturer obtains wrong information, it could cause severe production delays. By using master data management tools, critical data can be accessed via a single-view dashboard where various teams can see any change made to a manufacturing process, compliance, and product specifications and be notified of the changes. Different teams can observe the additions/deletions made to bills of materials and be notified of the same. They can monitor the addition/deletion of several SKUs and set compliance standards that everyone can access and need to follow. MDM solutions provide different teams with a 360-degree view of critical data.
The value of master data
A single error in data could cause several other errors that can have dire consequences. A wrong address for a customer could mean orders would be shipped to another location, credit card bills would never reach a customer, or even newspapers wouldn't be delivered. An incorrect label on a product could cause a company to lose millions of dollars in product recalls. Wrong account details could cause large sums of money to be deposited into the account of an unintended customer, causing severe losses. A single error could easily tarnish brand reputation in turn losing brand loyalty. In such a scenario, managing master data has become a necessity, hence companies are opting for MDM software.
What Does MDM Stand For?
MDM stands for master data management. Along with tracking and monitoring a company's most critical data points, master data management software also allows various business users to use multi-domain data to make meaningful decisions that are relevant to grow business value.
What Types of Master Data Management (MDM) Tools Exist?
In terms of architecture, there are four different types of master data management designs:
Registry-style MDM
This is the simplest and least expensive type of master data management architecture. MDM tools work with record data or “stubs” that provide the data source, present location, and other required information. It is the least expensive architecture in terms of deployment because the data is in the form of stubs and not the actual data. The major drawback in registry-style master data management is that data movement is a one-way street where changes made to master data do not get conveyed back to data sources.
Consolidated-style MDM
This is an upgrade from registry-style master data management, the main difference is that actual data is moved from their sources to the data repository. It has a similar drawback as registry-style master data management.
Coexistent-style MDM
This type of MDM software synchronizes master data to move both upstream and downstream, which means that data can coexist in the data platform and the repository. Coexistent-style MDM has a high latency since the data is collected and sent back downstream.
Transactional-style MDM
This is the most complete and the most expensive type of MDM system. Master data is collected from the source and moved to the data repository, where it is cleaned, standardized, and sent back to the source. Transactional style master data management requires expertise and the right tools to ensure proper data flow both upstream and downstream.
