Top 10 Master Data Management (MDM) Tools

Here are 10 popular Master Data Management (MDM) tools:

  1. Informatica MDM
  2. SAP MASTER DATA GOVERNANCE
  3. SEMARCHY XDM
  4. TIBCO EBX
  5. PROFISEE
  6. SAS MDM
  7. ATACCAMA ONE
  8. Magnitude Agility PIM
  9. VIAMEDICI EPIMIBM INFOSPHERE
  10. IBM INFOSPHERE

1. Informatica MDM

Informatica offers a modular MDM solution that provides a single view of data. The product enables users to create an authoritative view of business-critical data from disparate, duplicate, and conflicting sources. Informatica MDM also features AI and machine learning and includes data quality, data integration, business process management, and data security functionality that allows you to easily enrich master data records with data from external providers. Informatica’s MDM capabilities can be deployed on-prem or in the cloud.

2. SAP MASTER DATA GOVERNANCE

SAP Master Data Governance is the MDM solution from enterprise application software provider SAP. The Master Data Governance solution provides domain-specific MDM as well as collaborative and pre-built workflows.

Features:

  • Audit trail for changes to master data
  • Collaborative and pre-built workflows
  • Data cleansing, including profiling, standardization, matching and enrichment
  • Automated routing
  • Built-in data governance based on pre-configured data models
  • Role-based user interfaces

3. SEMARCHY XDM

Semarchy offers multi-vector MDM through its xDM platform. The platform uses algorithms and material design to make data stewardship collaborative. Semarchy also takes an agile, iterative approach to implement its xDM platform.

Features:

  • Guided authoring for data maintenance
  • Flexible data modeling
  • Collaborative and agile data governance
  • Match and merge capabilities to maintain a single source of truth
  • Multi-vector MDM for data taxonomies
  • Device traceability

4. TIBCO EBX

Through its EBX platform, TIBCO EBX (formerly Orchestra Networks) offers a number of solutions to assist enterprises to manage their data assets. The EBX platform supports master data management, reference data management, data management, hierarchy management, as well as taxonomy management across several domains.

Key Features:

  • Adaptable data modeling
  • Profiling, cleaning, verifying, as well as matching data are all part of the integrated data quality capabilities.
  • Collaborative workflows.
  • Data visualization user interface for business users.

5. PROFISEE

The Profisee master data management (MDM) platform provides organizations a fast, affordable and scalable solution to deliver trusted data across the enterprise without the cost, complexity, risk and data domain boundaries of traditional MDM solutions.

Profisee MDM is strongly multidomain with the ability to model an unlimited number of domains in a single environment (most Profisee customers deploy more than one domain in their first year). Built for the cloud, Profisee offers the industry’s first cloud-native containerized Platform-as-a-Service (PaaS) MDM solution giving customers the freedom to choose their deployment, on-premise, in the cloud or via a hybrid model. Although by no means limited to Microsoft-centric environments, Profisee is popular with Microsoft-centric organizations as they are built on a Microsoft tech stack and have built native integrations into Microsoft Azure including Microsoft Purview (data catalog and governance platform). Profisee is known for an industry-leading low total cost of ownership, rapid implementation and a truly flexible multi-domain platform.

6. SAS MDM

SAS MDM is a multi-domain MDM solution from SAS, an enterprise provider of analytics solutions. SAS MDM offers a complete solution for data management, with a strong focus on data quality and governance. Alongside the solution itself, SAS also offers MDM consulting services.

Features:

  • Data quality
  • Data governance
  • Data modeling
  • Data integration
  • Relationship management
  • Reporting and visualization
  • Source system harmonization
  • Data stewardship through role-based interfaces

7. ATACCAMA ONE

Ataccama ONE has a collaborative data curation platform that includes solutions for data profiling and cataloging, data governance and quality, and master data management. Its MDM solution supports multiple domains, reference data management, hierarchy management, and more.

Features:

  • Data consolidation
  • Pre-defined business models
  • Reference data management
  • Business rule enforcement
  • Householding, aggregation, and categorization to group similar entities and identify relationships
  • Data editing and authoring
  • Hierarchy management
  • Data monitoring and auditing
  • Analytical MDM for data lakes

8. Magnitude Agility PIM

Magnitude Agility PIM is a specialist MDM solution focused on “Product Management for Commerce.” Its focus is on product enrichment, analytics, as well as multichannel syndication for product data, with the goal of assisting commerce enterprises in better managing and integrating data. Product data is aligned with all other master data in Agility Multichannel.

Features:

  • Data integration
  • Data management
  • Data analysis
  • Relationship and hierarchical management

9. VIAMEDICI EPIM

Viamedici’s Enterprise Product Information Management (EPIM) suite is mostly focused on sell-side product data use cases. Master data management (MDM) is one component of their suite of products that is focused on helping large-scale manufacturers manage both structured and non-structured data.

Features:

  • A suite of solutions focused on product data management
  • Focused on large, global implementations
  • Ability to manage non-structured data like image, graphic, and document formats as well as audio and video files

10. IBM INFOSPHERE

IBM InfoSphere Master Data Management is a multi-domain enterprise MDM solution that includes access to IBM’s data governance and orchestration offerings. It offers a highly configurable framework with capabilities for a variety of business users as well as data analytics.

Features:

  • Data matching and deduping
  • Configurable framework available on-premise or in the cloud
  • Policy management capabilities for authoring, monitoring, and enforcing data quality
  • Graph-based representation for master data and transactional data
  • Flexible access to IBM’s data governance and integration solution
Rajesh Kumar
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