Best Master Data Management tools in 2022

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Set of identifiers that provide context about business, that include location, customers, product, and assets among many others is Master Data. Master Data is essential in running operations within an enterprise.

So, managing these types of data is crucial for an organization.

That is the reason Master Data Management tools arose out of the necessity for businesses to improve the quality and consistency of these key data assets. Basically, the need for accurate, timely information is acute and as sources of data increase, managing it consistently and keeping data definitions up to date so all parts of business use the same information is a never-ending challenge.

Therefore, here are some best Master Data Management tools that you can use in 2022.

1. Ataccama

Based on the Ataccama One platform and offers an augmented data management platform that features metadata management, data profiling, and discovery, master and reference data management, data quality management, big data integration, and processing.

Furthermore, it also includes machine learning and text analytics, along with data lake profiling. Ataccama is also fully integrated yet it is modular for any user, domain, data, and deployment type.

2. Informatica

Informatica is based on Informatica Multidomain Master Data Management tools. It provides a single view of data which gives modular Master Data Management solution.

One of the great features of this product is that it can create an authoritative view of business-critical data from conflicting, duplicate, and disparate sources. Moreover, Informatica also features machine learning and AI along with data integration, data quality, data security functionality, and business process management.

All of these features allow users to easily enrich records of master data with data from external providers. Furthermore, Informatics’s capabilities can be deployed on the cloud as well as on-premises.

3. IBM

You may have heard about IBM, but you may not know that IBM also creates a Master Data Management tool. This tool is based on IBM InfoSphere Master Data Management tools.

The platform manages all aspects of critical enterprise-related data regardless of model or system. Furthermore, it is compliant with data governance policies and rules.

IBM MDM also features a configurable framework that supports hybrid cloud environments. Additionally, the InfoSphere MDM is available in standard and advanced editions and both of these editions come on-premises or fully cloud-managed.

4. Magnitude

This Master Data Management tool is based on the Magnitude Kalido platform as its functionality is available via its Kalido solution. The product features domain-agnostic matching, modeling, and mapping capabilities.

Also, it has visual models for obscure as well as common domains, without the need to purchase customizations. Kalido also features audience-specific workflow, interfaces, and model-driven APIs policy-driven governance and real-time collaboration.

In addition to this, users can gain access through mobile devices so that security, audit, and validation are easily managed.

5. Pimcore

Based on Pimcore Open Source Master Data Management tools, Pimcore enables users to merge master data across heterogeneous system landscapes through its open source tools. Moreover, it is compatible with the domain of any master data.

Besides Pimcore offers flexible data models, support for both operational and analytical MDM, and multiple implementation styles. Some other features of Pimcore include hierarchy management, audit trail, workflow management, data quality, and rich content integration.

6. Innovative Systems

The Innovative Systems Synchronous platform provides MDM solutions used for analytical and operational purposes. This product can be deployed on cloud or on-premise as well as users can opt for a hybrid environment.

Additionally, its Synchronous features include data discovery and monitoring, data profiling as well as a 360-view of data, providing information about the extended relationships within data.

Moreover, it comes with workflow management functionality that lets user modify and conduct workflows while hierarchy management enables navigational tools and graphical display.

7. Reltio

This tool is based on Reltio Connected Customer 360 platform that is based on SaaS and built on a cloud-native big data architecture. Alongside this, it has machine learning capabilities and features graph technology.

It is easy for users to onboard new data sources quickly as well as add, change or remove customer profile attributes without any downtime. Furthermore, it enables developers to build and launch new products.

Reltio can be scaled up to have over a billion profiles and can support thousands of users. It remains to be the only cloud-native MDM in the marketplace currently.

8. Profisee

Profisee platform enables users to build and maintain enterprise data with its cloud-based, multi-domain master data management tools.

Its key features include data governance, integration, stewardship, relationship management, data quality, workflows, and golden record management. Furthermore, Profisee is tailor-made for the Microsoft Azure environment with its multi-directional integrations.