Check out our list of free Master Data Management (MDM) Software. Products featured on this list are the ones that offer a free trial version. As with most free versions, there are limitations, typically time or features.
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To grow and thrive in the fast-paced digital era, you need an agile technology foundation that speeds the flow of information, interactions, and innovations so you can achieve better business outcomes, faster. Dell Boomi’s intelligent, flexible and scalable platform quickly and easily unites everything and everyone in your digital ecosystem across channels, devices, and platforms. With our cloud-native platform, getting started is easy – just log in and go – and you can scale it reliably and
The SAP® Master Data Governance application provides ready-to-run, domain-specific master data governance, enabling you to decentrally own and consolidate or to centrally create, change, and distribute master data across your enterprise system landscape. Tight integration with other SAP solutions supports the reuse of data models, business logic, and validation frameworks with open integration to third-party products and services to support your entire technology stack.
Pimcore is an open-source software platform used by more than 100 000 companies worldwide. It offers state-of-the-art digital asset management (DAM), product information management (PIM), master data management (MDM), digital experience management (DXP/CMS), multi-channel publishing, and digital commerce. Acclaimed by analysts at Gartner and Forrester, its customers include Fortune 100 companies such as Pepsi, Sony, and Audi. The company's headquarters are in Salzburg, Austria. Pimcore’s consol
Stibo Systems is the trusted source of MDM. Our solutions are the driving force behind forward-thinking companies around the world that have unlocked the strategic value of their master data, empowering them to improve the customer experience, drive innovation and growth and create an essential foundation for digital transformation.
OpenDQ is an enterprise zero license cost data quality, master data management and data governance solution. Built on a modular architecture, OpenDQ scales with your enterprise data management needs. OpenDQ delivers trusted data with a machine learning and artificial intelligence based solution framework: Multi Domain Data Quality, Master Data Management ,Data Governance,Business Glossary and Data Dictionary. Data Profiling, Address Standardization US, Canada and 200+ Countries, Fuzzy Match
Ataccama delivers self-driving data management and governance with Ataccama ONE. It’s a robust, AI-powered platform integrating Data Discovery & Profiling, Metadata Management & Data Catalog, Data Quality Management, Master & Reference Data Management, and Big Data Processing & Data Integration. Ataccama ONE gives you the option to start with what you need and seamlessly extend as your business requires. The first step is free—try our one-click data profiling trusted by 55,000 us
ControlUp is a monitoring, management, troubleshooting, remediation, analytics, and automation tool that gives you a simple yet powerful real-time view into your complex IT infrastructure, fast root cause analysis and remediation, as well as powerful historical views of your entire system. ControlUp partners with Citrix, VMware, Nutanix, Microsoft, NVIDIA, and IGEL systems to give you a real-time, single-pane-of-glass of your infrastructure. An intuitive console allows you to drill down into p
Kradle was designed for small to medium sized business that can't afford expensive enterprise level software packages. Offering businesses the most flexible pricing in the market allows Kradle to grow within a business as they grow. Kradle is a modern day BPM solution that allows users to store their data and files where they need it and without the pain of switching between solutions.
Experian Pandora is an end to end data management platform for such data-driven initiatives as: Data Quality, Data Profiling, Data Migration, Data Governance, Data Preparation and the establishment of a Single Customer View.
Improve your operations with easy-to-use, intuitive storage and process management system that works across multiple storage silos. Achieving a high performance workflow is essential for every industry impacted by the exponential data growth and interested in optimization of their data movement and data placement whenever their location. To learn more about Nodeum, visit www.nodeum.io.
Data is an eminently valuable resource and a key pillar of digital transformation. Whether it is transactional data for retail companies, employee data from HR departments, product data, or financial data from financial institutions, data is powering organizations and allowing them to make smart decisions. However, data is only valuable if it is clean and consistent and in this world in which data is so fragmented and fast-moving, it is becoming increasingly more important. Businesses are challenged by data complexity and how it is siloed in different systems. Organizations must put in place a systematic data solution with quality at its core to get the data in an ideal state. This will provide a single source of truth for business users, giving them the tools they need to succeed. The risks of bad data are severe and relying on it may lead to misguided, uninformed decisions. For example, a company that has duplicate records for their customers across different systems risks overestimating their customer base and planning accordingly.
Companies use master data management (MDM) software to have a central repository for their master data, ensure compliance, and proper data governance. With a strong MDM strategy along with data stewards responsible to ensure fitness of data elements in place, companies better understand their data across various systems, such as ERP, CRM, other legacy applications, and more.
Key Benefits of Master Data Management (MDM) Software
MDM software allows users to keep track of the most essential company-wide data points in a consolidated fashion, including entities and attributes. Entities include customers, patients, sites, or any business data objects that are defined. Attributes may be defined for each entity as well as transformations that support data quality and identity management functionality. MDM streamlines data sharing among personnel and departments and facilitates computing in multiple system architectures, platforms, and applications.
The record linking process ensures records stay consistent, thus avoiding duplication issues. It is a process in which records across different systems or departments within an organization is matched and connected. For example, a case in which a customer of a retailer continues to receive ads for a product they have already purchased is likely the result of poor MDM and record linking practices.
Clean data — Clean data through enrichment, matching, merging, and relating it to other data points.
Ensure data quality — Allow users to ensure their data maintains a high level of quality through capabilities such as address verification, standardization, and parsing.
Single source of truth — Create a single source of truth for data, such as customer data.
Getting MDM software requires buy-in from across the organization. Business departments must work together to consolidate data across their systems, databases, applications, and more. This will ensure that they create a single end-to-end solution, which in turn will have accurate, deduplicated data. The following roles from various parts of the business help drive this process.
Data stewards — Data stewards are charged with ensuring that the MDM software is doing a good job by making sure that data is properly cleaned and managed.
Data governance users — These users help define the data requirements and the data schema. They assist in understanding how the data is managed and can hold the data stewards accountable for following the solution they have developed.
Database administrators — Especially as the result of mergers and acquisitions, databases become complex and convoluted and duplicate entities proliferate. These administrators use MDM software to deduplicate the entities and ensure consistency across the organization.
MDM software which consolidates data into a single source of truth, does so in three chief ways: data propagation, data federation, and data consolidation.
Data propagation — The process of copying master data from one system to another, typically through point-to-point interfaces in legacy systems.
Data federation — The process of providing a single virtual view of master data from one or more sources to one or more destination systems.
Data consolidation — The process of capturing master data from multiple sources and integrating into a single hub (operational data store) for replication to other destination systems.
Operations teams 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 return on investment (ROI).
Data integration — Data extracted from the disparate source data system can be transformed and loaded into the MDM hub.
Data masking — Some MDM tools allow for data masking. This is a method whereby a synthetic version of a company's data is created which bears structural similarity to a company's data for the purposes of software testing, user testing, and more.
Hierarchy management — Data hierarchies, such as product hierarchies and customer hierarchies, establish the ways in which data points relate to one another in a hierarchical or taxonomical manner. For example, products might be further broken down into elements such as sector, category, and brand.
Visualization — Some MDM solutions include reporting capabilities, giving business users and data stewards the ability to create reports and visualizations of the master data.
Query and search — Most MDM platforms allow users to easily search stored data via keywords
Mergers and acquisitions — Mergers and acquisitions help companies incorporate a range of new technologies into their stack as well as gain access to new data and data sources. In relation to the latter, with new data comes new data management and governance issues as the company at large will need to get a broad overview of their data, including that of the recently acquired. In these cases, there may be a host of different systems with duplicated records and duplicate master data. Introducing MDM is key to ensuring that data is cleaned, deduplicated, and matched.
Master data schema — Sometimes, there are issues related to the proper degree of detail and normalization of the master data (also known as a master data schema). That is, different departments within a business might have different hierarchies of entities that they are looking to store and analyze for their own purposes. Having a rigid schema while maintaining consistency may lead to struggles. For example, the product hierarchy for inventory management may be entirely different from the product hierarchies needed to support other efforts, such as marketing. Therefore, the availability of multiple sources of truth may be vital.