# Best Master Data Management (MDM) Tools

## How Many Master Data Management (MDM) Tools Products Does G2 Track?

**Total Products under this Category:** 156

### Category Stats (Aug 2026)

- **Average Rating:** 4.44/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Palantir Foundry (+1.94%) - Among all products in this category, Palantir Foundry recorded the largest rating increase compared to last month

_Last updated: August 30, 2026_

## How Does G2 Rank Master Data Management (MDM) Tools Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 9,100+ Authentic Reviews
- 156+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for Master Data Management (MDM) Tools
 ![G2 Grid® for Master Data Management (MDM) Tools plotting products by satisfaction and market presence](https://www.g2.com/categories/master-data-management-mdm/grids.png?focus%5B%5D=29430&focus%5B%5D=1173013&focus%5B%5D=815&focus%5B%5D=18988&focus%5B%5D=69255&focus%5B%5D=10387&focus%5B%5D=2519&focus%5B%5D=8343)

Highlighted products: SAP Master Data Governance (MDG), Data 360 (formerly Salesforce Data Cloud), Boomi, Syndigo, ON EBX, Profisee, Stibo Systems MDM, and Akeneo PIM.

Underlying data: [Grid® JSON](https://www.g2.com/categories/master-data-management-mdm/grids.json?focus%5B%5D=sap-master-data-governance-mdg&focus%5B%5D=data-360-formerly-salesforce-data-cloud&focus%5B%5D=boomi&focus%5B%5D=syndigo-syndigo&focus%5B%5D=on-ebx&focus%5B%5D=profisee&focus%5B%5D=stibo-systems-mdm&focus%5B%5D=akeneo-pim)

**Sponsored**

### Amazon Aurora

Amazon Aurora is a fully managed relational database service that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Compatible with MySQL and PostgreSQL, Aurora delivers up to five times the throughput of standard MySQL databases and up to three times that of standard PostgreSQL databases. It is designed for high availability, offering up to 99.99% availability within a single region and up to 99.999% across multiple regions. Aurora's architecture includes a distributed, fault-tolerant storage system that automatically scales up to 128 tebibytes, ensuring continuous data access and durability. Additionally, Aurora provides serverless configurations, allowing automatic scaling based on application needs, and integrates seamlessly with other AWS services for machine learning and analytics. Key Features and Functionality: - High Performance: Delivers up to five times the throughput of MySQL and three times that of PostgreSQL, enabling efficient handling of demanding workloads. - High Availability: Designed for up to 99.99% availability within a single region and up to 99.999% across multiple regions, ensuring continuous data access. - Scalability: Automatically scales storage up to 128 tebibytes and supports up to 15 read replicas for read-intensive applications. - Serverless Configuration: Offers Aurora Serverless, which automatically adjusts capacity based on application demand, eliminating the need for manual provisioning. - Machine Learning Integration: Integrates with Amazon SageMaker and Amazon Comprehend, allowing for in-database machine learning capabilities without data movement. - Security: Provides multiple layers of security, including network isolation, encryption at rest and in transit, and compliance with various industry standards. Primary Value and Solutions Provided: Amazon Aurora addresses the need for a high-performance, highly available, and scalable relational database service that is cost-effective and easy to manage. By offering compatibility with MySQL and PostgreSQL, it allows organizations to migrate existing applications without significant code changes. Aurora's automatic scaling and serverless options cater to applications with variable workloads, reducing operational overhead and costs. Its integration with AWS machine learning services enables real-time analytics and predictive capabilities directly within the database, enhancing application functionality. Overall, Aurora simplifies database management while delivering enterprise-grade performance and reliability.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=411&secure%5Bchosen_at%5D=2026-08-31T10%3A27%3A54Z&secure%5Bdisplayable_resource_id%5D=411&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=411&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=40868&secure%5Bresource_id%5D=411&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fmaster-data-management-mdm&secure%5Btoken%5D=afbcf77a06073060b8c94cdce00a3da0bd52a60bc77de5d43f3b309975547a9a&secure%5Burl%5D=https%3A%2F%2Faws.amazon.com%2Frds%2Faurora%2F%3Ftrk%3De719367b-1b6a-44ad-96bd-1ea7e2809cf6%26sc_channel%3Ddisplay%2Bads&secure%5Burl_type%5D=custom_url)

### [SAP Master Data Governance (MDG)](https://www.g2.com/products/sap-master-data-governance-mdg/reviews)

SAP® Master Data Governance is a specialized software solution designed to facilitate the management of master data across an organization. This application enables businesses to either decentralize the ownership of master data or centralize its creation, modification, and distribution. By providing a comprehensive framework for governance, SAP Master Data Governance ensures that data remains consistent, accurate, and accessible throughout the enterprise system landscape. Targeted primarily at organizations that require robust data management capabilities, SAP Master Data Governance is particularly beneficial for industries that rely heavily on accurate master data, such as finance, manufacturing, and retail. The application serves a diverse audience, including data stewards, IT professionals, and business analysts, who are tasked with maintaining data integrity and compliance. Specific use cases include the consolidation of customer, vendor, and product data, as well as the establishment of data quality standards that align with regulatory requirements. One of the key features of SAP Master Data Governance is its tight integration with other SAP solutions, allowing organizations to leverage existing data models, business logic, and validation frameworks. This integration streamlines data management processes and enhances collaboration between different departments by providing a unified view of master data. Furthermore, the application supports open integration with third-party products and services, ensuring that organizations can maintain a flexible and adaptable technology stack. The benefits of using SAP Master Data Governance extend beyond simple data management. By centralizing and standardizing master data, organizations can improve operational efficiency, reduce data redundancy, and enhance decision-making capabilities. The application also provides tools for data validation and quality checks, which help to minimize errors and ensure compliance with internal and external standards. Additionally, the ability to decentralize data ownership allows for greater agility, enabling teams to respond quickly to changing business needs while maintaining control over data governance. SAP Master Data Governance stands out as a comprehensive solution for organizations seeking to enhance their master data management practices. Its combination of centralized governance with decentralized ownership, along with seamless integration capabilities, positions it as a valuable asset for any enterprise aiming to optimize its data landscape and drive better business outcomes.

**Average Rating:** 4.4/5.0

**Total Reviews:** 242

#### How Do G2 Users Rate SAP Master Data Governance (MDG)?

- **Data Governance:** 9.2/10 (Category avg: 9.0/10)
- **Data Masking:** 8.8/10 (Category avg: 8.4/10)
- **Hierarchy Management:** 8.7/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.6/10 (Category avg: 8.4/10)

#### Who Is the Company Behind SAP Master Data Governance (MDG)?

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP  
297,052 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website)  
141,955 employees on LinkedIn®
- **Ownership:** NYSE:SAP

#### Who Uses This Product?

- **Who Uses This:** Consultant, SAP MDG Consultant
- **Top Industries:** Information Technology and Services, Pharmaceuticals
- **Company Size:** 55% Large, 33% Medium

#### What Do G2 Reviewers Say About SAP Master Data Governance (MDG)?

_AI-generated summary from verified user reviews_

##### Pros

- Users find SAP MDG **user-friendly and streamlined** , simplifying data management and enhancing master data organization.
- Users appreciate the **centralization and efficiency** of SAP MDG, enhancing master data management across systems.
- Users value the **high data quality** maintained by SAP MDG, ensuring organized master data and reducing discrepancies.
- Users appreciate the **data accuracy** of SAP MDG, ensuring high-quality, centralized, and compliant master data management.
- Users appreciate the **centralization of data** in SAP MDG, enhancing efficiency and control over master data management.

##### Cons

- Users find SAP MDG's **complex setup** challenging, requiring extensive time and effort for configuration and customization.
- Users find the **complex implementation** of SAP MDG time-consuming and challenging, hindering initial setup and customization.
- Users face **complexity in configuration** and a steep learning curve, which can hinder effective use of SAP MDG.
- Users experience **data management issues** with SAP MDG, including duplicate handling, slow performance, and high setup costs.
- Users find SAP MDG to be **expensive** for its perceived simplicity, preferring more cost-effective solutions instead.

#### What Are Recent G2 Reviews of SAP Master Data Governance (MDG)?

**["Effortless Master Data Management, Some Integration Hurdles"](https://www.g2.com/survey_responses/sap-master-data-governance-mdg-review-12805197)**

**Rating:** 4.5/5.0 stars

_— Ben B._

[Read full review](https://www.g2.com/survey_responses/sap-master-data-governance-mdg-review-12805197)

**["Streamlined Workflow with Customizable Controls, But Lacks Industry-Specific Integration"](https://www.g2.com/survey_responses/sap-master-data-governance-mdg-review-12802108)**

**Rating:** 4.0/5.0 stars

_— xin l._

[Read full review](https://www.g2.com/survey_responses/sap-master-data-governance-mdg-review-12802108)

#### What Are G2 Users Discussing About SAP Master Data Governance (MDG)?

- [What is SAP Master Data Governance (MDG) used for?](https://www.g2.com/discussions/what-is-sap-master-data-governance-mdg-used-for) - 1 comment
- [What is SAP MDG F?](https://www.g2.com/discussions/what-is-sap-mdg-f) - 1 comment
- [What is SAP MDM and MDG?](https://www.g2.com/discussions/what-is-sap-mdm-and-mdg) - 1 comment
- [What is SAP MDG used for?](https://www.g2.com/discussions/what-is-sap-mdg-used-for) - 1 comment
- [What is SAP Master Data Governance?](https://www.g2.com/discussions/what-is-sap-master-data-governance) - 1 comment

### [Data 360 (formerly Salesforce Data Cloud)](https://www.g2.com/products/data-360-formerly-salesforce-data-cloud/reviews)

Data 360 is the system of context for the Agentic Enterprise. Natively built on the Salesforce platform, it connects every source of data you have—from data lakes to warehouses—creating a unified view of your business that your teams and AI agents can act on. And with Zero Copy capabilities, you get all of this without the cost or complexity of moving a single byte of data. Instead of relying on outdated information, your employees and AI agents operate from a complete, real-time understanding of your business exactly when it’s needed. This allows you to immediately personalize every customer experience, unlock connected journeys, and power smarter AI agents grounded in trusted business context. Data 360 activates your trusted context across every surface and every agent in your enterprise—wherever the work happens.

**Average Rating:** 4.3/5.0

**Total Reviews:** 308

#### How Do G2 Users Rate Data 360 (formerly Salesforce Data Cloud)?

- **Data Governance:** 10.0/10 (Category avg: 9.0/10)
- **Data Masking:** 10.0/10 (Category avg: 8.4/10)
- **Hierarchy Management:** 9.6/10 (Category avg: 8.7/10)
- **Ease of Use:** 7.7/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Data 360 (formerly Salesforce Data Cloud)?

- **Seller:** [Salesforce](https://www.g2.com/sellers/salesforce)
- **Company Website:** www.salesforce.com
- **Year Founded:** 1999
- **HQ Location:** San Francisco, CA
- **Twitter:** @salesforce  
579,511 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c04f36289ca03aeff007197f1d9e74e925e328ed6bcfaff98911c78b3ab382f7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3185%2F&secure%5Burl_type%5D=linkedin_company_website)  
83,223 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Salesforce Developer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 39% Medium, 39% Large

#### What Do G2 Reviewers Say About Data 360 (formerly Salesforce Data Cloud)?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **real-time platform integration** of Salesforce Data 360, enhancing personalization and driving smarter decisions.
- Users value the **ease of use** of Salesforce Data Cloud, enjoying time savings and streamlined data access.
- Users value the **easy integration** of Salesforce Data 360, facilitating seamless data unification and enhanced reporting capabilities.
- Users value the **efficient data aggregation** in Salesforce Data 360, enhancing insights and unified customer profiling.
- Users value the **seamless integrations** of Salesforce Data 360, enhancing real-time data access and unified customer profiles.

##### Cons

- Users find the **learning curve steep** for Salesforce Data Cloud, requiring significant support for setup and maintenance.
- Users find Salesforce Data 360 to be **expensive** , facing challenges with unpredictable costs and a steep learning curve.
- Users face a **difficult learning curve** with Salesforce Data 360, finding the setup and terminology quite challenging.
- Users find the **initial setup complex** , facing a steep learning curve and challenges in configuration and data management.
- Users face a **complex setup** , with a steep learning curve that complicates the initial experience and usability.

#### What Are Recent G2 Reviews of Data 360 (formerly Salesforce Data Cloud)?

**["Unified, Real-Time Customer Profiles with Powerful Salesforce Integration"](https://www.g2.com/survey_responses/data-360-formerly-salesforce-data-cloud-review-13224193)**

**Rating:** 4.5/5.0 stars

_— Chirag C._

[Read full review](https://www.g2.com/survey_responses/data-360-formerly-salesforce-data-cloud-review-13224193)

**["Salesforce Data 360: Seamless Data Unification with Real-Time Insights"](https://www.g2.com/survey_responses/data-360-formerly-salesforce-data-cloud-review-13231710)**

**Rating:** 4.5/5.0 stars

_— Vedarth K._

[Read full review](https://www.g2.com/survey_responses/data-360-formerly-salesforce-data-cloud-review-13231710)

#### What Are G2 Users Discussing About Data 360 (formerly Salesforce Data Cloud)?

- [What is the benefit of the hub and spoke design of customer 360 Data Manager?](https://www.g2.com/discussions/what-is-the-benefit-of-the-hub-and-spoke-design-of-customer-360-data-manager)
- [What is customer 360 Data Manager?](https://www.g2.com/discussions/what-is-customer-360-data-manager)
- [What does customer 360 Data Manager provide businesses?](https://www.g2.com/discussions/what-does-customer-360-data-manager-provide-businesses)

### [Boomi](https://www.g2.com/products/boomi/reviews)

Boomi is the intelligent integration and automation company that drives transformation. The Boomi Platform enables businesses to connect applications, people, and data faster to eliminate digital fragmentation caused by the exponential growth of applications and data. Through a combination of Generative AI, prebuilt connectors to applications, low-code automation, recipes for common business processes, full API lifecycle management, and event-driven architecture for cloud and hybrid on-premises integration, the Boomi Platform provides the breadth and depth of support required for modern digital transformation in an easy-to-use platform with enterprise-grade security, scalability, and reliability.

**Average Rating:** 4.4/5.0

**Total Reviews:** 455

#### How Do G2 Users Rate Boomi?

- **Data Governance:** 8.8/10 (Category avg: 9.0/10)
- **Data Masking:** 8.6/10 (Category avg: 8.4/10)
- **Hierarchy Management:** 8.7/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.6/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Boomi?

- **Seller:** [Boomi](https://www.g2.com/sellers/boomi)
- **Company Website:** boomi.com
- **Year Founded:** 2000
- **HQ Location:** Conshohocken, PA
- **Twitter:** @boomi  
101,014 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=48e58db8d91e1da54d6b476d5f5c5a2d98aab91fa1d98184cfcc08cb78bcfd9d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fboomi-inc%2F&secure%5Burl_type%5D=linkedin_company_website)  
3,024 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 45% Large, 39% Medium

#### What Do G2 Reviewers Say About Boomi?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **powerful integrations** Boomi provides, enabling seamless connectivity with multiple cloud providers and tools.
- Users appreciate the **ease of use** of Boomi, making integrations quick and straightforward with strong support.
- Users value the **easy integrations** Boomi offers, simplifying connections with multiple systems and enhancing overall functionality.
- Users value Boomi's **seamless integration features** , enhanced documentation, and robust support for deployment and monitoring.
- Users value the **robust integration capabilities** of Boomi, facilitating seamless connections with multiple systems and tools.

##### Cons

- Users find that **complexity in implementation** leads to increased effort and performance issues with Boomi's integrations.
- Users find the **initial learning curve** of Boomi challenging, particularly with complex scenarios before implementation.
- Users report that Boomi can be **difficult to learn** initially, especially with complex scenarios and intricacies.
- Users face **integration issues** with Boomi, highlighting the need for more connectors and improved user interface simplicity.
- Users face **complex coding challenges** with Boomi, requiring significant effort for integrating intricate business logic.

#### What Are Recent G2 Reviews of Boomi?

**["Automation integration by Boomi"](https://www.g2.com/survey_responses/boomi-review-8857650)**

**Rating:** 4.5/5.0 stars

_— Rohit K._

[Read full review](https://www.g2.com/survey_responses/boomi-review-8857650)

**["Smooth NetSuite Integration with Fast, Low-Code Automation"](https://www.g2.com/survey_responses/boomi-review-12597011)**

**Rating:** 4.0/5.0 stars

_— tarun p._

[Read full review](https://www.g2.com/survey_responses/boomi-review-12597011)

#### What Are G2 Users Discussing About Boomi?

- [What is Boomi used for?](https://www.g2.com/discussions/what-is-boomi-used-for) - 1 comment
- [What is Boomi Integration Platform as a Service (iPaaS) used for?](https://www.g2.com/discussions/what-is-boomi-integration-platform-as-a-service-ipaas-used-for) - 1 comment

### [Syndigo](https://www.g2.com/products/syndigo-syndigo/reviews)

Syndigo is a leader in AI-first PXM, MDM, and PIM, empowering brands, retailers, and distributors to create winning product experiences. Syndigo offers the most extensive brand-retail network, the leading commerce data pool, and automated recommendations that incorporate user-generated content. With Syndigo’s solutions, companies can reach more customers, dynamically optimize shopping experiences, and achieve more control of their commerce with trusted data, software, and connections. Syndigo serves over 18,000 global enterprises in key sectors such as grocery, foodservice, hardlines, home improvement/DIY, pet, health and beauty, automotive, apparel, energy, and healthcare. Learn more at www.syndigo.com.

**Average Rating:** 4.4/5.0

**Total Reviews:** 191

#### How Do G2 Users Rate Syndigo?

- **Data Governance:** 9.4/10 (Category avg: 9.0/10)
- **Data Masking:** 9.1/10 (Category avg: 8.4/10)
- **Hierarchy Management:** 9.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.1/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Syndigo?

- **Seller:** [Syndigo](https://www.g2.com/sellers/syndigo)
- **Company Website:** www.syndigo.com
- **Year Founded:** 2017
- **HQ Location:** Chicago, Illinois
- **Twitter:** @syndigoLLC  
281 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b31df4100632d3c4a3872a01d2318660d853b4c18c13f473ab419cbbb6b3ce80&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F28625135%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,727 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Consumer Goods, Retail
- **Company Size:** 39% Medium, 31% Small

#### What Do G2 Reviewers Say About Syndigo?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **user-friendly interface** of Syndigo, enhancing their workflow and making operations seamless and efficient.
- Users praise the **prompt and helpful customer support** of Syndigo, making issue resolution and communication seamless.
- Users value the **exceptional customer service** from Syndigo, appreciating their prompt and helpful responses at every turn.
- Users commend the **quick response** of Syndigo's customer support, enhancing their overall experience and satisfaction.
- Users commend Syndigo for its **intuitive platform and excellent support** , enhancing efficiency in managing product information seamlessly.

##### Cons

- Users express concern over **data management issues** , citing delays, errors, and lack of integration causing workflow challenges.
- Users find the **learning curve steep** with Syndigo, highlighting confusion in navigation and user interface for newcomers.
- Users struggle with **poor usability** due to a confusing UI and complicated navigation, hindering efficiency and ease of use.
- Users find the **complexity of Syndigo** challenging, requiring simplification for a better overall experience.
- Users find the **interface confusing and overly complicated** , hindering their ability to navigate effectively.

#### What Are Recent G2 Reviews of Syndigo?

**["Easy-to-Use Portal with an Excellent Product Catalog and Responsive Support"](https://www.g2.com/survey_responses/syndigo-review-12874556)**

**Rating:** 5.0/5.0 stars

_— Brian T._

[Read full review](https://www.g2.com/survey_responses/syndigo-review-12874556)

**["Ecommerce Success fueled by Syndigo CES "](https://www.g2.com/survey_responses/syndigo-review-8850824)**

**Rating:** 5.0/5.0 stars

_— Patrick L._

[Read full review](https://www.g2.com/survey_responses/syndigo-review-8850824)

#### What Are G2 Users Discussing About Syndigo?

- [What is Syndigo, The Active Content Engine used for?](https://www.g2.com/discussions/what-is-syndigo-the-active-content-engine-used-for) - 1 comment

### [ON EBX](https://www.g2.com/products/on-ebx/reviews)

ON EBX, formerly TIBCO EBX, is an enterprise platform for governing master data, reference data, metadata, and data products in one unified environment. It helps organizations create trusted, governed data foundations for analytics, operational applications, automation, and AI. Unlike fragmented data-management toolsets, ON EBX brings data modeling, stewardship, workflow, data quality, hierarchy management, security, versioning, audit, and integration together in a single, configurable platform. Key Benefits of ON EBX Unified, multi-domain data management Manage master data, reference data, metadata, hierarchies, and relationships across multiple business domains. Establish consistent, trusted data for operational systems, analytics, regulatory reporting, and AI. Support customer, supplier, product, location, finance, organization, and other enterprise data domains on one platform. Model-driven and configurable ON EBX uses a “what you model is what you get” approach to generate data-driven applications directly from governed data models. Configure data models, workflows, business rules, user experiences, permissions, and data services without building every capability from scratch. Adapt quickly as business requirements, regulations, and operating models evolve. Built-in governance and stewardship Provide business users and data stewards with intuitive tools to search, create, review, compare, approve, and govern data. Coordinate changes through configurable workflows, ownership, validation, and approval processes. Maintain history, lineage, versioning, and a complete audit trail of data changes. Trusted data for better decisions Improve the accuracy and consistency of reports, dashboards, analytical models, and AI applications. Reduce reconciliation effort by establishing governed definitions, hierarchies, relationships, and golden records. Increase confidence in the data used across business and technology teams. Enterprise security and control Protect sensitive information through granular permissions and role-based access controls. Support governance requirements such as approval controls, encryption, masking, auditability, and separation of duties. Apply security and governance consistently across domains, datasets, workflows, and services. Business-friendly collaboration Enable business users, data stewards, analysts, developers, and IT teams to work together through a browser-based experience. Give accountable business teams control over shared data while IT maintains enterprise architecture, security, and integration standards. Promote adoption through self-service access, configurable interfaces, and collaborative governance. Flexible deployment and integration Deploy ON EBX on premises, in private or public cloud environments, or through a hosted deployment model. Integrate governed data with enterprise applications, databases, data platforms, APIs, and downstream analytical systems. Create and distribute trusted operational data through reusable services and governed processes. Lower operational complexity Consolidate capabilities that would otherwise require multiple disconnected data-management tools. Reduce duplicate data, manual cleansing, reconciliation effort, and replicated datasets. Accelerate the delivery of governed data applications while lowering long-term development and maintenance costs.

**Average Rating:** 4.4/5.0

**Total Reviews:** 67

#### How Do G2 Users Rate ON EBX?

- **Data Governance:** 8.6/10 (Category avg: 9.0/10)
- **Data Masking:** 8.6/10 (Category avg: 8.4/10)
- **Hierarchy Management:** 9.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.7/10 (Category avg: 8.4/10)

#### Who Is the Company Behind ON EBX?

- **Seller:** [Cloud Software Group](https://www.g2.com/sellers/cloud-software-group)
- **HQ Location:** Fort Lauderdale, FL
- **Twitter:** @cloudsoftware  
124 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=86a8da07f19bbb6871acf9d6e74baf5f74966e23f959aac6dd81145864d554b2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcloudsoftwaregroup%2F&secure%5Burl_type%5D=linkedin_company_website)  
9,527 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 62% Large, 29% Medium

#### What Do G2 Reviewers Say About ON EBX?

_AI-generated summary from verified user reviews_

##### Pros

- Users find that TIBCO EBX provides a **seamless data management experience** , simplifying processes and reducing application clutter.
- Users appreciate the **ease of use** of TIBCO EBX, finding data management effortless and enhancing their experience.
- Users appreciate the **interactive UI** of Tibco EBX, making data management effortless and enhancing the overall experience.
- Users enjoy the **exceptional user experience** of Tibco EBX, finding data management effortless and streamlined.
- Users value the **extensive integrations** offered by TIBCO EBX, enabling seamless connectivity with various systems.

##### Cons

- Users note **difficult navigation** in the online documentation, which could enhance their overall experience with Tibco EBX.
- Users find the **difficulty learning** ON EBX requires considerable effort and time to master its functionalities.
- Users find the **learning curve steep** , requiring significant effort to become proficient with ON EBX.
- Users note that the **navigation in the online documentation is poor** , suggesting it needs significant improvement for better usability.
- Users note that the **slow performance** of ON EBX can hinder the learning process and overall experience.

#### What Are Recent G2 Reviews of ON EBX?

**["EBX Delivers Flexible Data Modeling and Mature Governance at Scale"](https://www.g2.com/survey_responses/on-ebx-review-13205021)**

**Rating:** 5.0/5.0 stars

_— Bojan K._

[Read full review](https://www.g2.com/survey_responses/on-ebx-review-13205021)

**["EBX Delivers Production-Ready MDM and Strong Data Governance in Hours"](https://www.g2.com/survey_responses/on-ebx-review-13205077)**

**Rating:** 5.0/5.0 stars

_— Craig C._

[Read full review](https://www.g2.com/survey_responses/on-ebx-review-13205077)

### [Profisee](https://www.g2.com/products/profisee/reviews)

Profisee Master Data Management (MDM) is how enterprises can finally solve the data quality issues that have been holding back so many strategic initiatives. With the industry’s only adaptive approach to master data management, Profisee Profisee helps companies get past the “brick wall” of data quality issues without the cost, complexity and risk of traditional MDM solutions. Customers can leverage Profisee MDM SaaS for a true Software-as-a-Service experience or maintain complete deployment flexibility in any cloud, on-premise or via a hybrid model. With a low total cost of ownership, fast implementations and a helpful AI copilot, Profisee fully cleans and unifies your enterprise data — so you can finally make it happen. Profisee operates directly in the United States, Europe and Australia — as well as through a network of Value-added Resellers (VARs), Systems Integrators (SIs) and world-class Professional Consulting firms across the globe — and offers customers 24/7 support. To learn more, please visit https://ow.ly/kQUO50PEA3I.

**Average Rating:** 4.3/5.0

**Total Reviews:** 42

#### How Do G2 Users Rate Profisee?

- **Data Governance:** 9.3/10 (Category avg: 9.0/10)
- **Data Masking:** 8.1/10 (Category avg: 8.4/10)
- **Hierarchy Management:** 8.5/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.2/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Profisee?

- **Seller:** [Profisee](https://www.g2.com/sellers/profisee)
- **Company Website:** www.profisee.com
- **Year Founded:** 2007
- **HQ Location:** Alpharetta, GA
- **Twitter:** @ProfiseeMDM  
4,656 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=58b1ee3c8cf6efd3377253ec81900b808b44f79de7a3a334f403908116979a45&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F435786%2F&secure%5Burl_type%5D=linkedin_company_website)  
186 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 64% Large, 26% Medium

#### What Do G2 Reviewers Say About Profisee?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **powerful hierarchy management** in Profisee, which greatly enhances data process efficiency and accuracy.
- Users value the **exceptional customer support** from Profisee, which enhances their experience and drives success effectively.
- Users value the **quick setup process** of Profisee, enabling rapid implementation and efficient data management right away.
- Users appreciate the **user-friendly interface** of Profisee, enhancing usability and collaboration across multiple countries.
- Users appreciate the **automation capabilities** of Profisee, allowing for efficient data migration and management across multiple domains.

##### Cons

- Users face **integration issues** with Profisee, particularly with SAP connectors and initial setup challenges affecting experience.
- Users find the **limited customization options** of Profisee restrict effective global engagement and tailored workflows.
- Users face **complex implementation challenges** due to conflicts in aligning customer vision with Profisee's guidance.
- Users find the **complexity** of Profisee challenging, complicating the troubleshooting process and hindering issue resolution.
- Users experience a **complex setup** with Profisee, often needing workarounds due to insufficient dedicated support during implementation.

#### What Are Recent G2 Reviews of Profisee?

**["Flexible Governance, Layered Workflows, and Strong Data Visualization"](https://www.g2.com/survey_responses/profisee-review-13191912)**

**Rating:** 4.0/5.0 stars

_— Verified User in Manufacturing_

[Read full review](https://www.g2.com/survey_responses/profisee-review-13191912)

**["Profisee Delivers Strong MDM with a Well-Designed UI and Solid Integrations"](https://www.g2.com/survey_responses/profisee-review-13094684)**

**Rating:** 4.0/5.0 stars

_— Prasanna P._

[Read full review](https://www.g2.com/survey_responses/profisee-review-13094684)

#### What Are G2 Users Discussing About Profisee?

- [What is Profisee used for?](https://www.g2.com/discussions/what-is-profisee-used-for)

### [Stibo Systems MDM](https://www.g2.com/products/stibo-systems-mdm/reviews)

Stibo Systems enables Trustworthy Intelligence by providing the trusted data, governance, and enterprise context that AI needs to reason, decide, and act with confidence. At the core of the Trusted Intelligence Platform is AI-powered Master Data Management (MDM), enabling organizations to create a unified, governed view of business-critical information across product, customer, supplier, and other enterprise domains. Stibo Systems serves organizations across retail, distribution, manufacturing, consumer goods, and other industries, helping them improve decision-making, operational efficiency, and business growth. While most enterprises possess significant amounts of data, what they often lack is trusted business context. Information is dispersed across systems, teams, regions, and formats, creating multiple versions of the truth with inconsistent relationships, governance, and business meaning. These challenges surface as delayed product launches, compliance gaps, unreliable reporting, fragmented customer and supplier experiences, and increasing difficulty in scaling AI initiatives. The challenge is no longer simply accessing data, it is ensuring AI can trust the information it uses. Stibo Systems helps organizations transform fragmented data into trusted enterprise context by connecting critical business entities with the relationships, hierarchies, policies, and governance that give data business meaning. This foundation enables organizations to confidently scale AI, accelerate digital transformation, improve operational efficiency, and achieve long-term business and sustainability goals. Trusted Intelligence Platform The Stibo Systems Platform (STEP) combines AI-powered Master Data Management with trusted governance, multidomain flexibility, and Data-as-a-Service to provide a single, governed foundation for enterprise AI. It enables organizations to manage product, customer, supplier, location, and other critical business data on one platform, providing the trusted enterprise context required for reliable, explainable, and increasingly autonomous business outcomes. Fully integrated data management software solutions We offer a complete portfolio of cloud-native Data Clouds that help organizations address their unique business challenges. 1. Product Experience Data Cloud manages the onboarding, enrichment, governance, and distribution of product information across channels, regions, and markets, with AI-assisted capabilities that automate content generation and reduce manual effort. 2. Customer Experience Data Cloud establishes a unified, trusted view of customer information, supporting personalization, segmentation, consent management, and data quality. 3. Business Partner Data Cloud delivers clarity across complex partner hierarchies, relationships, and ecosystem-driven business models. 4. Supplier Data Cloud centralizes supplier information to support onboarding, governance, transparency, and risk management across global supply chains. 5. Location Data Cloud standardizes and governs location data supporting operations, logistics, marketing, and asset management. 6. Sustainability Data Cloud connects enterprise master data with sustainability metrics to support ESG initiatives, regulatory reporting, and transparency. AI and agentic workflows Enterprise AI depends on trusted business context. Stibo Systems provides the accurate, governed, and context-rich information that AI and agentic workflows require to deliver reliable, explainable outcomes. AI capabilities, including generative AI, intelligent matching and merging, data quality enrichment, and anomaly detection, are embedded throughout the platform to improve efficiency while strengthening data quality. Together, AI and MDM reinforce one another, creating the trusted foundation for increasingly autonomous business processes. Recent recognition In Q2 2025, Stibo Systems was recognized as a Leader in The Forrester Wave™ for Master Data Management Solutions, reflecting its ability to support complex, large-scale, multidomain data initiatives. For organizations asking a simple but critical question - "Can we trust the data and context driving our AI and business decisions?", Stibo Systems provides the trusted enterprise foundation needed to move from fragmented information to Trustworthy Intelligence and confident business outcomes.

**Average Rating:** 4.1/5.0

**Total Reviews:** 27

#### How Do G2 Users Rate Stibo Systems MDM?

- **Data Governance:** 9.4/10 (Category avg: 9.0/10)
- **Data Masking:** 6.7/10 (Category avg: 8.4/10)
- **Hierarchy Management:** 8.3/10 (Category avg: 8.7/10)
- **Ease of Use:** 7.4/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Stibo Systems MDM?

- **Seller:** [Stibo Systems](https://www.g2.com/sellers/stibo-systems)
- **Company Website:** www.stibosystems.com
- **Year Founded:** 1976
- **HQ Location:** Hojbjerg, Denmark
- **Twitter:** @StiboSystems  
2,215 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0d035a43d74b7da5181e9e2ba53e9daf8dff996e435bd22f53bd2662e71b5283&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F12573%2F&secure%5Burl_type%5D=linkedin_company_website)  
838 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 57% Large, 32% Medium

#### What Are Recent G2 Reviews of Stibo Systems MDM?

**["Powerful and flexible MDM platform with high complexity"](https://www.g2.com/survey_responses/stibo-systems-mdm-review-13320407)**

**Rating:** 4.0/5.0 stars

_— Verified User in Animation_

[Read full review](https://www.g2.com/survey_responses/stibo-systems-mdm-review-13320407)

**["A Reliable Solution for Managing Master Data"](https://www.g2.com/survey_responses/stibo-systems-mdm-review-13326785)**

**Rating:** 4.0/5.0 stars

_— Dipti B._

[Read full review](https://www.g2.com/survey_responses/stibo-systems-mdm-review-13326785)

### [Akeneo PIM](https://www.g2.com/products/akeneo-pim/reviews)

Akeneo is the product experience (PX) company and global leader in Product Information Management (PIM); creating a world where every product interaction is an experience that guides consumers and professionals to the best purchase anytime, anywhere. Akeneo empowers business leaders with software, education, and an engaged community all focused on the practice of product experience management. Leading global brands, manufacturers, distributors, and retailers, including Chico’s, Steelcase, TaylorMade Golf, Rail Europe, Kering, and more trust Akeneo to scale and customize their omnichannel commerce initiatives. Using Akeneo’s intelligent Product Cloud, companies can create elevated product experiences with user-friendly and AI-powered product data enrichment, management, syndication, and supplier data onboarding; as well as a comprehensive app marketplace and partner network to meet business and buyer needs. For more information: https://www.akeneo.com

**Average Rating:** 4.4/5.0

**Total Reviews:** 201

#### How Do G2 Users Rate Akeneo PIM?

- **Data Governance:** 8.9/10 (Category avg: 9.0/10)
- **Data Masking:** 8.1/10 (Category avg: 8.4/10)
- **Hierarchy Management:** 8.5/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.0/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Akeneo PIM?

- **Seller:** [Akeneo](https://www.g2.com/sellers/akeneo)
- **Company Website:** www.akeneo.com
- **Year Founded:** 2013
- **HQ Location:** Nantes
- **Twitter:** @akeneopim  
3,612 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=494d0d05caa2115c9bdeb1926bde91ffbbb0533a7fed9d73e22475bee138b6ed&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2862073%2F&secure%5Burl_type%5D=linkedin_company_website)  
420 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Retail, Information Technology and Services
- **Company Size:** 48% Medium, 30% Large

#### What Do G2 Reviewers Say About Akeneo PIM?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **flexibility and ease of use** of Akeneo PIM, streamlining product management and integration seamlessly.
- Users appreciate the **seamless integrations** of Akeneo PIM, streamlining product data management across various platforms effortlessly.
- Users love the **ease of use** of Akeneo PIM, finding it simple to navigate and operate efficiently.
- Users value the **automation features** of Akeneo PIM, streamlining processes and enhancing operational efficiency across teams.
- Users value the **strong connectivity** of Akeneo PIM, enabling seamless integration with various systems and improving efficiency.

##### Cons

- Users encounter **data management issues** with Akeneo PIM, including navigation challenges and cumbersome asset handling that hinder efficiency.
- Users find **data governance and asset management difficult** , complicating organization and retrieval within Akeneo PIM.
- Users find the **learning curve steep** due to unique configurations and the need for coding experience.
- Users face **poor reporting** issues with Akeneo PIM, limiting visibility into product changes over time.
- Users note the **high skill requirement** for configuring Akeneo PIM, making training and implementation challenging.

#### What Are Recent G2 Reviews of Akeneo PIM?

**["Generative AI + Rules Engine: A Powerful Duo for Consistent Product Data"](https://www.g2.com/survey_responses/akeneo-pim-review-12633210)**

**Rating:** 5.0/5.0 stars

_— Zach W._

[Read full review](https://www.g2.com/survey_responses/akeneo-pim-review-12633210)

**["User-Friendly PIM with Efficient Bulk Features"](https://www.g2.com/survey_responses/akeneo-pim-review-12630421)**

**Rating:** 4.5/5.0 stars

_— Jonathan P._

[Read full review](https://www.g2.com/survey_responses/akeneo-pim-review-12630421)

#### What Are G2 Users Discussing About Akeneo PIM?

- [What is Akeneo PIM used for?](https://www.g2.com/discussions/what-is-akeneo-pim-used-for) - 1 comment
- [How does a PIM work?](https://www.g2.com/discussions/how-does-a-pim-work)
- [What is in a PIM?](https://www.g2.com/discussions/what-is-in-a-pim)
- [What is a PIM software?](https://www.g2.com/discussions/what-is-a-pim-software) - 3 comments, 1 upvote
- [What is Akeneo PIM?](https://www.g2.com/discussions/what-is-akeneo-pim)

### [Tamr](https://www.g2.com/products/tamr/reviews)

As the only AI-native master data management (MDM) solution, Tamr delivers the trusted data you need to power your generative AI initiatives. By unifying, cleaning, and enriching fragmented enterprise data, Tamr produces the golden records required for responsible and effective AI automation, informed decision-making, improved revenue growth, and better customer experiences. Tamr’s patented, AI-centric approach combines machine learning and AI agents with human refinement and oversight to deliver value in days or weeks, not months or years like traditional rules-based MDM and DIY solutions. With intuitive 360-degree views linking data across silos, your business can improve data accessibility and leverage the best, most accurate information in real time. Tamr uses AI and machine learning to identify and resolve duplicate and inconsistent records across sources, creating a single, trusted "golden record." Additionally, Tamr standardizes and validates data formats, fills in missing values through its enrichment capabilities, and corrects inconsistencies, ensuring data is accurate, consistent, complete, and ready for analytical and operational use cases. Tamr is AI-native because AI has been built into the core of the platform from the start, not bolted on like traditional, legacy MDM solution providers have done. Unlike traditional MDM solutions that rely on static rules and manual processes, Tamr leverages AI for core functions like entity resolution, schema mapping, real-time search, and data enrichment. This AI-centric approach delivers faster, more scalable, and more accurate data mastering to enable better business outcomes with less effort. Tamr's Solutions: Customer 360, CRM/ERP Data Unification, MDM Modernization with AI, Healthcare Data Mastering, and Supplier Data Mastering.

**Average Rating:** 4.4/5.0

**Total Reviews:** 16

#### How Do G2 Users Rate Tamr?

- **Data Governance:** 8.2/10 (Category avg: 9.0/10)
- **Data Masking:** 6.9/10 (Category avg: 8.4/10)
- **Hierarchy Management:** 7.2/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.1/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Tamr?

- **Seller:** [Tamr](https://www.g2.com/sellers/tamr)
- **Company Website:** www.tamr.com
- **Year Founded:** 2012
- **HQ Location:** Cambridge, US
- **Twitter:** @Tamr\_Inc  
3,470 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=13794b9bb2a3a428dad2f243d004a7c4e8e364dcd34713a82368e17607307bef&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2965831&secure%5Burl_type%5D=linkedin_company_website)  
112 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 75% Large, 13% Small

#### What Do G2 Reviewers Say About Tamr?

_AI-generated summary from verified user reviews_

##### Pros

- Users commend Tamr's **knowledgeable and responsive customer support** , enhancing their experience with the product's powerful solutions.
- Users appreciate the **ease of use** of Tamr, highlighting seamless integration and a user-friendly setup for data management.
- Users value the **ease of implementation** and the innovative approach of Tamr, fostering a strong partnership with the team.
- Users appreciate the **seamless data integration** capabilities of Tamr, enhancing their ability to manage and consolidate data efficiently.
- Users appreciate the **setup ease** of Tamr, benefiting from a straightforward and user-friendly integration process.

##### Cons

- Users express a need for **limited customization** , hindering adaptability to varied business use cases and contexts.
- Users find Tamr's **limited features** frustrating, especially regarding configuration, customization, and overall UI robustness.
- Users face **difficulty learning** Tamr due to complex upgrades and lengthy transitions from Core to Cloud.
- Users find **integration with AI/ML pipelines challenging** , complicating the overall usability of Tamr.
- Users experience **slow performance** with configuration pages, causing frustration during critical tasks and limiting overall efficiency.

#### What Are Recent G2 Reviews of Tamr?

**["Effortless MDM with Reliable Data Lineage"](https://www.g2.com/survey_responses/tamr-review-13222789)**

**Rating:** 5.0/5.0 stars

_— Mykola G._

[Read full review](https://www.g2.com/survey_responses/tamr-review-13222789)

**["AI-Driven Enterprise MDM That Delivers Real Business Value at Scale"](https://www.g2.com/survey_responses/tamr-review-13218719)**

**Rating:** 5.0/5.0 stars

_— Glenn H._

[Read full review](https://www.g2.com/survey_responses/tamr-review-13218719)

### [Tealium](https://www.g2.com/products/tealium-2026-08-12/reviews)

Tealium is a customer data orchestration platform designed to connect customer engagement data across an organization in real time. By bringing together data from web, mobile, server-side, cloud, and offline sources, Tealium helps brands build a complete and current view of the customer, then take action on that data across teams, systems, and channels. Tealium is designed for marketing, data, analytics, customer experience, and IT teams that need trusted customer data for personalization, audience management, analytics, and operational decision-making. It helps organizations collect and standardize event data, resolve identity into persistent profiles, enrich data with business logic and real-time context, and activate that data across downstream tools. Tealium also supports consent enforcement across collection and activation, helping teams govern customer data as it moves through the stack. Key capabilities of Tealium include tag management, API-based and server-side data collection, profile unification, audience and event activation, and data delivery across a broad integration ecosystem. Tealium works with existing technology investments and data clouds, rather than requiring a rip-and-replace approach, and supports real-time, scheduled, and triggered activation patterns. It can also prepare clean, consented customer context for AI models and agents, then help activate resulting outputs across channels. Globally, organizations use Tealium to connect customer data from web, mobile, server-side, API, cloud, and offline sources, build persistent profiles with real-time identity resolution and enrichment, activate audiences and signals through real-time, scheduled, and triggered workflows, and enforce consent and governance controls across collection, orchestration, and activation. For organizations that need customer data to be usable everywhere decisions are made, Tealium provides one governed foundation for turning customer data into action.

**Average Rating:** 4.3/5.0

**Total Reviews:** 444

#### How Do G2 Users Rate Tealium?

- **Data Governance:** 8.8/10 (Category avg: 9.0/10)
- **Data Masking:** 8.7/10 (Category avg: 8.4/10)
- **Hierarchy Management:** 8.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 7.7/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Tealium?

- **Seller:** [Tealium](https://www.g2.com/sellers/tealium)
- **Company Website:** www.tealium.com
- **Year Founded:** 2011
- **HQ Location:** San Diego, CA
- **Twitter:** @tealium  
4,730 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=862b8691ee01ed9a7b7eddf26f7f0fbe95df109ef1f79344c9feeac38372dbd6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F211380%2F&secure%5Burl_type%5D=linkedin_company_website)  
557 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Web Analyst
- **Top Industries:** Financial Services, Retail
- **Company Size:** 49% Large, 29% Medium

#### What Do G2 Reviewers Say About Tealium?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Tealium for unifying customer data and managing tags efficiently.
- Users value the **unification of customer data** in Tealium, streamlining their workflow and enhancing data management efficiency.
- Users appreciate the **seamless integrations** of Tealium, enabling efficient data unification from diverse sources in real-time.
- Users value the **real-time processing** of Tealium, enabling seamless integration and activation of customer data efficiently.
- Users value the **easy integration** of Tealium, enhancing their workflow by unifying customer data seamlessly across tools.

##### Cons

- Users find the **steep learning curve** of Tealium challenging, particularly for non-technical individuals navigating its complex interface.
- Users find the **difficult learning curve** of Tealium challenging, especially for those lacking technical expertise or support.
- Users struggle with **complexity** in Tealium's interface and learning curve, making navigation and use challenging for newcomers.
- Users struggle with the **steep learning curve** of Tealium, finding it complex and overwhelming without proper guidance.
- Users struggle with the **steep learning curve** of Tealium, finding it complex and challenging, especially without proper onboarding.

#### What Are Recent G2 Reviews of Tealium?

**["Unifies Customer Data and Enables Real-Time Marketing Activation"](https://www.g2.com/survey_responses/tealium-review-12708029)**

**Rating:** 4.0/5.0 stars

_— Priyamvadha R._

[Read full review](https://www.g2.com/survey_responses/tealium-review-12708029)

**["Tealium Customer Data Hub makes it easy to unify customer data in real time"](https://www.g2.com/survey_responses/tealium-review-11675791)**

**Rating:** 4.5/5.0 stars

_— Ehab R._

[Read full review](https://www.g2.com/survey_responses/tealium-review-11675791)

#### What Are G2 Users Discussing About Tealium?

- [What is Tealium AudienceStream CDP used for?](https://www.g2.com/discussions/what-is-tealium-audiencestream-cdp-used-for)
- [What is tealium audience stream?](https://www.g2.com/discussions/what-is-tealium-audience-stream) - 1 comment
- [How much does tealium cost?](https://www.g2.com/discussions/how-much-does-tealium-cost)
- [What is the primary purpose of a CDP?](https://www.g2.com/discussions/what-is-the-primary-purpose-of-a-cdp) - 1 comment
- [What is tealium testing?](https://www.g2.com/discussions/what-is-tealium-testing)

### [MaPS System (MDM-PIM-DAM)](https://www.g2.com/products/maps-system-mdm-pim-dam/reviews)

The company MaPS System designs and integrates an evolutive, web-based all-in-one platform featuring: MDM - PIM - DAM

**Average Rating:** 4.8/5.0

**Total Reviews:** 12

#### How Do G2 Users Rate MaPS System (MDM-PIM-DAM)?

- **Data Governance:** 9.7/10 (Category avg: 9.0/10)
- **Data Masking:** 7.5/10 (Category avg: 8.4/10)
- **Hierarchy Management:** 9.7/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.3/10 (Category avg: 8.4/10)

#### Who Is the Company Behind MaPS System (MDM-PIM-DAM)?

- **Seller:** [MaPS System](https://www.g2.com/sellers/maps-system)
- **Year Founded:** 2011
- **HQ Location:** Foetz, LU
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0798749eee6af6dc1fe189dcec648855c1c2348ea64b2ac4d5a25d7658ca2122&secure%5Burl%5D=http%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmaps_system&secure%5Burl_type%5D=linkedin_company_website)  
37 employees on LinkedIn®
- **Phone:** +352 281 315

#### Who Uses This Product?

- **Company Size:** 62% Medium, 31% Small

#### What Are Recent G2 Reviews of MaPS System (MDM-PIM-DAM)?

**["MaPS System: the alliance of a robust tool and quality human support"](https://www.g2.com/survey_responses/maps-system-mdm-pim-dam-review-12653790)**

**Rating:** 5.0/5.0 stars

_— Sandrine D._

[Read full review](https://www.g2.com/survey_responses/maps-system-mdm-pim-dam-review-12653790)

**["All-in-one software, simple to configure and ideal for centralizing product data"](https://www.g2.com/survey_responses/maps-system-mdm-pim-dam-review-12611412)**

**Rating:** 5.0/5.0 stars

_— Sophie M._

[Read full review](https://www.g2.com/survey_responses/maps-system-mdm-pim-dam-review-12611412)

### [Oracle Enterprise Data Management Cloud](https://www.g2.com/products/oracle-enterprise-data-management-cloud/reviews)

Oracle Enterprise Data Management Cloud provides a single platform to flexibly manage enterprise data while maintaining data integrity and enterprise application alignment.

**Average Rating:** 4.0/5.0

**Total Reviews:** 15

#### How Do G2 Users Rate Oracle Enterprise Data Management Cloud?

- **Ease of Use:** 8.3/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Oracle Enterprise Data Management Cloud?

- **Seller:** [Oracle](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle  
827,997 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a14fcbcd818b49d781453c19628a9479a70cc1e8e335e54c876392ab5f543da3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1028%2F&secure%5Burl_type%5D=linkedin_company_website)  
208,078 employees on LinkedIn®
- **Ownership:** NYSE:ORCL

#### Who Uses This Product?

- **Company Size:** 53% Medium, 41% Large

#### What Are Recent G2 Reviews of Oracle Enterprise Data Management Cloud?

**["Definitely Satisfied with the product"](https://www.g2.com/survey_responses/oracle-enterprise-data-management-cloud-review-7228776)**

**Rating:** 4.5/5.0 stars

_— Devisri N._

[Read full review](https://www.g2.com/survey_responses/oracle-enterprise-data-management-cloud-review-7228776)

**["Good experience"](https://www.g2.com/survey_responses/oracle-enterprise-data-management-cloud-review-7234615)**

**Rating:** 4.0/5.0 stars

_— Yavor L._

[Read full review](https://www.g2.com/survey_responses/oracle-enterprise-data-management-cloud-review-7234615)

### [Pimcore](https://www.g2.com/products/pimcore/reviews)

Pimcore is an analyst-recognized provider of enterprise data and experience management technology, enabling companies to scale Product Experience Management (PXM) across complex ecosystems. Founded in 2013 and headquartered in Salzburg, Austria, Pimcore is trusted by 118,000+ companies worldwide. The Pimcore Platform unifies PIM, MDM, DAM, CDP, DXP/CMS, and Digital Commerce into a composable suite to aggregate, govern, and enrich product content and data—supporting consistent, personalized experiences across channels. Pimcore has been recognized in Gartner’s 2025 Magic Quadrant for Digital Experience Platforms.

**Average Rating:** 4.5/5.0

**Total Reviews:** 41

#### How Do G2 Users Rate Pimcore?

- **Ease of Use:** 8.2/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Pimcore?

- **Seller:** [pimcore](https://www.g2.com/sellers/pimcore)
- **Company Website:** www.pimcore.com
- **Year Founded:** 2009
- **HQ Location:** Salzburg, Austria
- **Twitter:** @pimcore  
1,630 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4f323c9d5173084a0d92f79c0a5537561e9d688d2fea7d164dd9e3a37b5200a9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3505853&secure%5Burl_type%5D=linkedin_company_website)  
82 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 49% Medium, 33% Small

#### What Do G2 Reviewers Say About Pimcore?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Pimcore, streamlining data management with a single, adaptable interface.
- Users value Pimcore's **all-in-one solutions** , streamlining data management and automating processes seamlessly across multiple languages.
- Users commend Pimcore for its **simplicity and adaptability** in managing complex data and experiences seamlessly.
- Users appreciate the **customizability** of Pimcore, tailoring solutions to meet specific industry needs and workflows.
- Users value the **data centralization** of Pimcore, streamlining management and enabling tailored solutions for their industry needs.

##### Cons

- Users find the **learning curve steep** , requiring significant time and effort to configure Pimcore independently.
- Users found Pimcore to have a **complex interface** , though recent updates have improved the experience significantly.
- Users wish for improved **developer independence** in making changes without relying on integrators for assistance.
- Users find the **difficulty learning** Pimcore frustrating, requiring significant time and potentially partnering to configure effectively.
- Users find Pimcore to be **expensive** and challenging to learn without assistance, making it less accessible.

#### What Are Recent G2 Reviews of Pimcore?

**["Pimcore: Highly Customizable Platform with Powerful Workflows, Data Hub, and Studio UI"](https://www.g2.com/survey_responses/pimcore-review-13355619)**

**Rating:** 5.0/5.0 stars

_— Magnus T._

[Read full review](https://www.g2.com/survey_responses/pimcore-review-13355619)

**["Simplicity and Flexibility Combined in One Platform"](https://www.g2.com/survey_responses/pimcore-review-12364959)**

**Rating:** 4.5/5.0 stars

_— Dietmar R._

[Read full review](https://www.g2.com/survey_responses/pimcore-review-12364959)

#### What Are G2 Users Discussing About Pimcore?

- [What is Pimcore used for?](https://www.g2.com/discussions/what-is-pimcore-used-for) - 1 comment
- [What does Pimcore do?](https://www.g2.com/discussions/what-does-pimcore-do)
- [What is a PIM tool?](https://www.g2.com/discussions/what-is-a-pim-tool)
- [Is Pimcore free?](https://www.g2.com/discussions/is-pimcore-free)
- [What is Pimcore good for?](https://www.g2.com/discussions/what-is-pimcore-good-for)

### [IBM InfoSphere Master Data Management](https://www.g2.com/products/ibm-infosphere-master-data-management/reviews)

IBM InfoSphere Master Data Management (MDM) manages all aspects of your critical enterprise data, no matter what system or model, and delivers it to your application users in a single, trusted view. Provides actionable insight, instant business value alignment and compliance with data governance, rules and policies across the enterprise.

**Average Rating:** 4.1/5.0

**Total Reviews:** 35

#### How Do G2 Users Rate IBM InfoSphere Master Data Management?

- **Data Governance:** 10.0/10 (Category avg: 9.0/10)
- **Hierarchy Management:** 8.3/10 (Category avg: 8.7/10)
- **Ease of Use:** 7.5/10 (Category avg: 8.4/10)

#### Who Is the Company Behind IBM InfoSphere Master Data Management?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®
- **Ownership:** SWX:IBM

#### Who Uses This Product?

- **Top Industries:** Banking, Insurance
- **Company Size:** 65% Large, 18% Medium

#### What Are Recent G2 Reviews of IBM InfoSphere Master Data Management?

**["It does the job and helps to establish company wide data management practices"](https://www.g2.com/survey_responses/ibm-infosphere-master-data-management-review-7329762)**

**Rating:** 5.0/5.0 stars

_— Tony L._

[Read full review](https://www.g2.com/survey_responses/ibm-infosphere-master-data-management-review-7329762)

**["Powerful ETL Platform"](https://www.g2.com/survey_responses/ibm-infosphere-master-data-management-review-1743493)**

**Rating:** 4.0/5.0 stars

_— Verified User in Insurance_

[Read full review](https://www.g2.com/survey_responses/ibm-infosphere-master-data-management-review-1743493)

#### What Are G2 Users Discussing About IBM InfoSphere Master Data Management?

- [What is IBM InfoSphere Master Data Management used for?](https://www.g2.com/discussions/what-is-ibm-infosphere-master-data-management-used-for)

### [Azure Data Catalog](https://www.g2.com/products/azure-data-catalog/reviews)

Azure Data Catalog is an enterprise-wide metadata catalog enabling self-service data asset discovery. The Data Catalog stores, describes, indexes and provides information on how to access any registered data asset and makes data source discovery trivial.

**Average Rating:** 4.1/5.0

**Total Reviews:** 12

#### How Do G2 Users Rate Azure Data Catalog?

- **Data Governance:** 7.8/10 (Category avg: 9.0/10)
- **Data Masking:** 7.2/10 (Category avg: 8.4/10)
- **Hierarchy Management:** 7.8/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.1/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Azure Data Catalog?

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website)  
231,632 employees on LinkedIn®
- **Ownership:** MSFT

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 38% Large, 38% Medium

#### What Are Recent G2 Reviews of Azure Data Catalog?

**["Azure Data Catalog: Easy way to get value from your Enterprise Data Assets"](https://www.g2.com/survey_responses/azure-data-catalog-review-5087658)**

**Rating:** 4.5/5.0 stars

_— Gonzalo A._

[Read full review](https://www.g2.com/survey_responses/azure-data-catalog-review-5087658)

**["Best way to make Data Asset Discovery."](https://www.g2.com/survey_responses/azure-data-catalog-review-4903380)**

**Rating:** 4.5/5.0 stars

_— Pradeep F._

[Read full review](https://www.g2.com/survey_responses/azure-data-catalog-review-4903380)

#### What Are G2 Users Discussing About Azure Data Catalog?

- [What are the features of Azure data lake?](https://www.g2.com/discussions/azure-data-catalog-what-are-the-features-of-azure-data-lake)
- [What are the benefits of a data catalog?](https://www.g2.com/discussions/what-are-the-benefits-of-a-data-catalog)
- [What is data Catalog Azure?](https://www.g2.com/discussions/what-is-data-catalog-azure)
- [What is the use of Azure data Catalog?](https://www.g2.com/discussions/what-is-the-use-of-azure-data-catalog)

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[Browse Master Data Management (MDM) Themes](/categories/master-data-management-mdm/themes)

 ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi")
SJ

Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)

Updated October 3, 2024

Master data management (MDM) tools track the most essential company-wide data points, also known as master data, and provide insights related to company operations, clients, and goals. MDM platforms draw information from multiple domains and departments and single out the core data that administrators have determined is most relevant to the organization. Users can then implement that data as they see fit, keep records of data history, and make projections based on findings. Operations teams can utilize these tools, in conjunction with IT teams, to identify the essential metrics across the entire business and pinpoint areas of concern, gauge the success of individual departments, increase productivity, and maximize ROI.

To qualify for inclusion in the MDM category, a product must:

- Track data from multiples sources related to an organization, specifically department performance metrics
- Consolidate, organize, and store master data, filtering for duplicate information and inconsistencies and presenting findings in a clean format
- Provide administrators with tools and/or initiatives related to master data
- Export MDM data as necessary to other software tools

Show More

### Master Data Management Topics

- [What are Master Data Management (MDM) Tools?](#what-are-master-data-management-mdm-tools)
- [What are the Common Features of Master Data Management (MDM) Tools?](#what-are-the-common-features-of-master-data-management-mdm-tools)
- [What are the Benefits of Master Data Management (MDM) Tools?](#what-are-the-benefits-of-master-data-management-mdm-tools)
- [Who Uses Master Data Management (MDM) Tools?](#who-uses-master-data-management-mdm-tools)
- [Challenges with Master Data Management (MDM) Tools](#challenges-with-master-data-management-mdm-tools)
- [How to Buy Master Data Management (MDM) Tools](#how-to-buy-master-data-management-mdm-tools)

[
### Master Data Management Topics
 Expand/Collapse ](#)
- [What are Master Data Management (MDM) Tools?](#what-are-master-data-management-mdm-tools)
- [What are the Common Features of Master Data Management (MDM) Tools?](#what-are-the-common-features-of-master-data-management-mdm-tools)
- [What are the Benefits of Master Data Management (MDM) Tools?](#what-are-the-benefits-of-master-data-management-mdm-tools)
- [Who Uses Master Data Management (MDM) Tools?](#who-uses-master-data-management-mdm-tools)
- [Challenges with Master Data Management (MDM) Tools](#challenges-with-master-data-management-mdm-tools)
- [How to Buy Master Data Management (MDM) Tools](#how-to-buy-master-data-management-mdm-tools)

## Learn More About Master Data Management (MDM) Tools

### What are Master Data Management (MDM) Tools?
 

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.

 

### What are the Common Features of Master Data Management (MDM) Tools?
 

MDM systems are a great way to ensure that a company is making the best use of its critical data through data visualization, by using a single-view dashboard. The following are some core master data management features that can help users in several ways:

 

**Data matching and linking:** This is the core feature of MDM solutions. Along with pulling real-time data from different sources, MDM software should have a matching and linking feature. While managing a large list of contacts, there are often possibilities of duplicates being created since data is collected and stored from multiple departments. By using the matching and linking feature, duplicate and redundant data is eliminated all the while maintaining the data integrity and ensuring data validation. This cleaned-up data is known as the golden record. Since this task is automated, companies can save up on resources rather than manually cleaning the data. Master data management software demonstrates the element of cleansing and correcting erroneous data.

 

**Data Governance:** MDM tools allow executive teams to set up standards and centralized procedures that every member of the organization needs to follow. When business rules are centralized, each team has access to the set of regulations and standard procedures to be followed. These rules are directly implemented into the software without any need for back-end support.

 

**Data privacy support:** As an organization expands, the amount of data being generated in a single day increases exponentially. New customers are being added, new transactions are being recorded, and the amount of data keeps growing. In such a scenario, companies need to ensure that the highest echelons of data privacy policies and processes are being followed. MDM systems allow the concerned personnel to set up access rights to any data source. By setting up rights and restricting actions, master data can be kept private. Master data management solutions also have additional features where they can encrypt data, so users will require a secure password or multi-factor authentication (MFA) to gain access to the data. By doing this, the company is protected from security breaches and hacks.

 

**Data protection regulations:** To protect data within geo-boundaries, countries are coming up with strict data regulation policies such as the General Data Protection Regulation (GDPR). Certain data cannot cross regions and borders. By using master data management tools, companies can ensure the data is well within regulatory policies.

 

**Data enrichment:** Data enrichment is defined as a process to improve data quality from various sources. Under data enrichment, data is validated, cleansed, streamlined, and finally integrated with other external data sources to derive detailed information. This golden data is used to analyze trends, identify patterns, and allow firms to make decisions proactively by setting up workflows. Data enrichment can also help teams specifically to solve several issues. For example, marketing teams can understand customer buying behavior, identify patterns, and derive tailor-made products, offers, and discounts to retain a customer. MDM software is a single source of truth for all teams across an organization to observe the enriched data.

 

**Software integration and validation:** MDM tools are designed to work smoothly with other existing business systems, which include CRM, ERP, and others. A user should be able to easily export master data management data as necessary to be used with other software tools.

 

### What are the Benefits of Master Data Management (MDM) Tools?
 

Some of the key benefits of master data management software include:

 

**Act as a single source repository and improve data quality:** MDM platforms help organizations collect, process, manage different sets of customer data across different departments. Having all master data of a company within a multi-domain software prevents duplicate data occurrences and combines any incomplete data to create new, valuable data called the golden record. Data that needs to be updated, edited, or deleted can be done by using the MDM software. All the data is finally used to create an end-to-end solution. 

 

**Drive customer engagement:** By having enterprise data from different departments collated in a single software, marketing teams and customer engagement teams can obtain a 360-degree view of customers and create personalized ads and campaigns. Marketing and sales teams of organizations can come up with strategies and promotions to grow business value by attracting more customers and retaining old ones. Since master data management helps remove duplicate entries, it can also help organizations avoid errors such as sending emails to a wrong email ID, sending duplicate catalogs to a single address, sending bills to an incorrect address, and several other embarrassing situations. 

 

**Improve product life cycle:** The main goal of MDM software is to improve efficiency by having all master data collected and acting as a single source of truth. By doing this, numerous teams such as logistics and supply chain teams, product teams, customer care teams, marketing teams, and others will have access to the same data assets and thereby work cohesively to develop product plans. Teams can set up tighter milestones and handle order requests in a short period. All teams are made well aware of any product changes and have real-time access to the product data. 

 

**Reduce processing time and cost:** The complex nature of data makes manual processing of data difficult, time-consuming, and costly.MDM solutions support data automation, thereby saving a large amount of time. Since employees do not have to manually clean up the data, it reduces processing costs and lets the employees focus on other tasks.

 

**Improve decision-making:** By having all master data under a single dashboard providing better data visualization, teams and executives can use the enterprise data to drive business intelligence and make proactive decisions.

 

### Who Uses Master Data Management (MDM) Tools?

**Business users and leaders:** Data-driven decisions are integral to business intelligence. By using MDM tools, business users and CXOs can use this information to analyze efficiencies and track ROI. In addition, the tracking of master data will allow business leaders to align company goals with business values and objectives and derive methods to achieve success. Data analytics is one of the core competencies for any organization to be successful, and by having a master data management software that manages and organizes data, firms only stand to benefit further. Management will be able to maintain strong relationships with various stakeholders by providing them with trustworthy data.

In addition to making proactive decisions to ensure continuous workflow, top executives can also ensure that company data is following all data compliance and regulatory standards set up geographically. 

**IT teams:** This team would be responsible for handling the MDM software. This would involve tasks such as setting up, managing, organizing, synchronizing, and monitoring performance. Some of the important roles under this category include:

- System admins: System admins will be responsible for handling the server (on-premises or cloud) and IT infrastructure where the master data management is deployed.
- Architects: Architects form a bridge between IT teams and executive teams. Their main responsibility is to design data model processes that will be implemented using the MDM platform.
- Developers: Developers will be responsible for integrating the MDM system with other applications within the enterprise. 
- MDM admins: The admin team would be responsible for configuring the master data management platform and controlling various activities such as front-end user experience, business rules, and so on.
- Solution owners: A solution owner would be responsible for managing technical resources. They generally also have a strong relationship with the MDM software vendor.
- Project managers: They oversee the entire project.

**Department heads:** Since MDM platforms would draw data from cross-functional teams such as finance, marketing, operations, sales, HR, and several others, this role includes subject matter experts of their respective departments who will be managing the data. They will be the ones to ensure that data quality is being maintained. They are tasked with profiling, cleaning, validating, and managing the data. They are also termed as data stewards who have agile self-service access to the software.

### Challenges with Master Data Management (MDM) Tools

Master data management solutions can come with their own set of challenges. 

**Setting data standards:** Data standards set by analyzing master data need to agree with all the various types of data available in the company. In addition, standards set need to be accepted and all the various departments need to adapt to these standards. It is a key challenge because if data standards are not planned well, the process can become quite cumbersome.

**Data integration with other software:** Integrating master data management tools with other applications and platforms can tend to become quite complicated. Data management, transfer, and integration with other platforms can cause errors, show compatibility issues, and even take a lot of time to close. In addition, integration errors could cause only some sections of data to be transferred.

**Need for efficient data stewardship:** To maintain the quality of data, data stewards need to maintain and monitor the data using the MDM software. The presence of bad data will cause management issues, cycle disruptions, and hamper data validation. Data stewards from various teams need to be established as efficient owners of their section of the data to prevent any issues. 

**Model agility and flexibility:** One of the biggest challenges that companies face is to ensure that the right master data management solution is selected. Due to a large number of offerings as well as the complexity of handling data from different sources, it becomes increasingly challenging for companies to choose the right master data model best suited for the company. An inactive and ambiguous MDM software could do more harm than good.

### How to Buy Master Data Management (MDM) Tools

#### Requirements Gathering (RFI/RFP) for Master Data Management (MDM) Tools

Choosing the right MDM solution allows teams to have an efficient data management process by improving data governance, data delivery, and ultimately achieving business alignment. 

**Identify cost drivers:** Before deciding to opt for a master data management solution, it is a good idea to understand the various cost drivers involved. The three main cost drivers in master data management software include:

- IT integration costs: These costs include necessary interface applications costs, communication costs, and error solving costs. 
- Analytics costs: Costs associated with unreliable reports, presence of erroneous data, duplicated data, and bad data sources. In addition, obtaining consolidated reports is very costly.
- Maintenance costs: Data maintenance costs, the volume of new master data being created, and the increasing efforts to ensure all required information is given to users from master data can be a significant cost driver.

**Identify master data sources:** A key step in deciding what master data is to be managed is to identify the various sources of master data. Firms might require only one type of master data to be managed, whereas large corporations would need to manage several master data categories. 

**Conduct feasibility analysis:** Before choosing the master data management software, companies should undertake a requirement and feasibility study/analysis. Once done, the company can use the data to create reports of pain points that will assist to choose a master data management solution. 

**Integration support:** Companies should choose a master data management software that smoothly integrates with all other existing applications that the firm uses. This protects existing tech investments and prevents the need for replacement which would again drive up costs. Choosing a master data management solution that smoothly integrates with other support systems, platforms and tools is a key factor when deciding on a master data management software. 

**After-sales service:** Companies should look for a master data management software that offers efficient after-sales support. The software should be able to provide support at multiple levels and options based on the various devices being managed. In addition, for enterprises that are present across the globe, it would be a good idea to ensure that the master data management software has support teams in various countries and supports different languages.

#### Compare Master Data Management (MDM) Tools

**Create a long list**

It is a good practice to list out the pros and cons of different MDM software, and come up with a long list. Long lists help eliminate software that do not provide critical functionality, thereby reducing the list to be more compact and precise.

**Create a short list**

Once the list has been narrowed down, the customer can begin to compare different features and offerings of the MDM software as per the company requirements as well as the data sources that will be managed. Pricing decisions need to be compared at this stage. A highly efficient method of comparing various MDM tools would be to opt for technology review platforms, such as g2.com, which provide unbiased reviews and different perspectives on the benefits/issues with various master data management software.

**Conduct demos**

Most master data management software vendors offer live demos, so it is a good practice to opt for these to ensure that companies have made the correct decision and that the master data management software is easily integrated within the IT environment. 

#### Selection of Master Data Management (MDM) Tools

**Choose a selection team**

Choosing the right team to work together on deciding on MDM software is a critical part of the process. The team should include a mix of different personas who have the required skills, interests, and time. Some roles include project manager, department heads, CXOs, and others.

**Negotiation**

Once the software is selected, teams can negotiate and come to the best pricing decision.

It is important to negotiate to include possible additional costs that might come in the future. These additional costs could include software upgrades, licensing costs, and other requirements.

**Final decision**

Once all the steps are complete, the final decision is made weighing all factors and scenarios. The decision is taken weighing in all the above factors, and the best possible master data management tool is identified.