What are the Four Types of Master Data Management (MDM)?
There are typically four types of master data management (MDM) implementation methods. Each of them has its own set of characteristics that cater to certain organizational requirements. Here are the four types of MDM:
- Consolidation MDM: Consolidation MDM is used to support data warehousing or/and BI (business intelligence) projects.
- Registry MDM: Registry MDM is typically used as a master data index that's been written in a distributed manner and split across systems.
- Centralized MDM: When master data authoring is dispersed, Centralized MDM is implemented to store a "golden copy" of the master data centrally in a hub.
- Coexistent MDM: Coexistent MDM is used either in a transaction or workflow use case, when master data needs to be authored, stored, and accessed from one or multiple MDM hubs.
Different Types of Master Data
For any business process, master data, reference data, and metadata are essential data points. The core data around which a business process is run is known as master data, and it is determined to be the most important data element for organizations. Here are the various types of master data.
- Customer data: It refers to information related to a company's customers. This includes names, phone numbers, addresses, customer domains, sales statistics, transactional records, and other enterprise data. Organizations often gather this data through loyalty programs, surveys, online transactions, and a variety of other means.
- Product data: It refers to information related to the service or product that a company offers.
- Location data: It refers to the information about the company's geographical presence across the globe. Location data includes information about regional divisions, office locations, and others.
- Other: This particular category covers all other types of data, such as warranty details and information, license information, contract details, and so forth.
What Is Master Data Management Software?
MDM software helps organizations monitor and track critical organizational data assets. Once the data assets are monitored, Master Data Management Software then leverages the information to derive important insights to help companies drive growth strategies. Master Data Management tools are used to process master data across an organisation.
Businesses can implement standardizations to generate high-quality data, which can be further scrutinized to draw key insights. In terms of characteristics, MDM software is multidomain, allowing several departments within a company, such as IT, finance, operations, and others to concurrently use data.
Master data might seem only to be a small part of any company's overall data repository, however, it happens to be the most valuable and intricate of all. Based on such a scenario, it is understandable that using MDM Master Data Management tools seems necessary these days, irrespective of the size of the business.
What Does Master Data Management Software Do?
Master Data Management tools act as a central repository for enterprise data that has been collected from a variety of sources. A Master Data Management platform helps cleanse, verify, and arrange master data in a way that allows companies to link disparate data points together and derive meaningful insights.
Many MDM software often comes with a number of features such as automation workflows and model-driven APIs that help teams within an organization to collaborate in real-time. The tool also helps with a company’s data governance endeavors.
Businesses can use master data management software to interpret master data and make data-driven decisions about operational agility, revenue generation, and cross-functional team mobility, among other things.
Master Data Management Tools Features & Functions
MDM master data management tools ensure that businesses are getting the most out of their everyday operational data. Such tools function by visualizing and presenting data in a single-view dashboard, which makes it easier for the management to draw data-driven conclusions. Here are some of the key features and functions of master data management software:
- Linking and matching data: MDM software comes with a matching and linking feature that detects duplicate and redundant data and maintains data integrity and validation.
- Data cleansing: The task of manually cleansing duplicate data can cost a lot of money and take a huge chunk of companies’ valuable time and resources. With top master data management tools, one can save money by automating the entire procedure.
- Governance of Data: MDM solutions enable organizations to establish centralised standards and procedures that must be followed by all members of the organisation. Each team from different departments has access to these regulations and standard processes without the requirement of manual interventions.
- Support for data privacy: Master data management tools can be used to set up access privileges to any data source. The management can ensure keeping master data private by establishing specific rights and certain limiting actions.
- Data encryption: Master data management solutions often encrypt data, requiring users to enter a secure password or utilizing multi-factor authentication (MFA) to access the required data.
- Data protection regulations: Using MDM tools, businesses can verify that their data is compliant with key regulatory policies, such as the GDPR (General Data Protection Regulation).
- Data enrichment: MDM master data management tools can help improve the quality of data that is being collected from a variety of sources. MDM tools help generate detailed information by vetting, cleansing, simplifying, and integrating the data with external data sources.
- Single point of truth: The tool helps make sense of the data so that it can be used for analyzing trends, detecting patterns, and enabling businesses to make proactive data-driven decisions. MDM software operates and functions as the single point of truth that aids all teams within the organization to view universal data.
- Integration and validation of software: MDM tools come with in-built features that allow them to seamlessly integrate with other corporate systems such as ERP, CRM, etc. A Master Data Management platform enables its users to readily export master data for usage with other software applications as and when needed.
Benefits of Using Master Data Management Software
Here are some of the primary advantages of master data management software:
- Improve data quality by acting as a single source repository: Top Master Data Management tools assist businesses in collecting, processing, and managing various kinds of client data across several departments.
- No duplicate data: Having a multi-domain program that contains all the master data of an organization helps to avoid the generation of duplicate data. It also helps to merge incomplete data, if any, in order to come up with new, useful data.
- Automated data management: Using the top Master Data Management tools, one can update, amend, or delete data as and when necessary, without the need for manual labor. Eventually, the software combines all of the data to help organizations introduce an end-to-end solution.
- Drive customer engagement: Thanks to Master Data Management tools, customer engagement and marketing teams in an organization can get access to a 360-degree view of their customer profiles.
- Draw key insights: Marketing teams can create tailor-made marketing campaigns and generate targeted ads, based on the insights they drew from the master data at hand. Your sales and marketing teams can devise special promotion tactics to increase corporate value by attracting new consumers and retaining existing ones.
- Prevent repetitive campaigns: MDM tools can also help the marketing teams to avoid sending duplicate emails and dispatching invoices to the wrong address.
- Improve the product life cycle: An MDM software's major purpose is to improve operational efficiency by collecting and storing all master data from various sources.
- Seamless function: Since multiple teams within an organization have access to the same data assets in real-time, they will be able to work together in a more seamless manner. Teams can set more stringent milestones and respond to order requests more quickly.
- Real-time access to product data: In case there are any product changes, the information is instantly communicated to all teams.
- Reduce data processing time and cost: Manual data processing can be time consuming, difficult, and, not to mention, expensive. Deploying an MDM software can be the right solution for organizations as it supports data automation, saving a significant amount of time and resources.
- Improve decision-making: Corporates can leverage enterprise data to come up with key business intelligence using top master data management software. The tool can help teamsmake proactive decisions by combining all master data into a single dashboard, thanks to its superior data visualisation features.
Disadvantages of Using Master Data Management Software
In the earlier sections, we discussed the various features as well as the numerous benefits associated with master data management software. However, just like all technologies, MDM tools too have certain aspects that users must consider before investing in a master data management platform. Here we discuss them below:
- Creating data guidelines: Data standards that are established through master data analysis must be compatible with numerous forms of data. Furthermore, the standards that have been established must be applicable to all departments. In case, data standards aren't set properly, the entire MDM process can become inefficient.
- Data integration with other apps: While most of the top master data management tools support third-party integration, some software solutions might not. In such a situation, all of the processes related to data transmission, administration, and interface with other platforms can lead to compatibility concerns and errors.
- The requirement for effective data stewardship: Data stewards must maintain and monitor data using MDM software in order to preserve data quality. Inaccurate data can lead to certain management problems, disruptions in product cycles, and challenges in terms of data validation. To avoid such complications, data stewards from distinct teams should be assigned as the owners of their department-based data.
- Model agility and flexibility: Choosing the correct master data management system is one of the most difficult tasks that a majority of businesses confront. MDM software that is inactive and confusing may cause more harm than benefit. You must find the best master data management software, SaaS or on premise, that does not complicate your data handling operations.