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Reference Data Management tools for IBM DB2
Reference data management tools help manage and bring consistency to your data. They enable business users to aggregate data quickly and understand the overall condition of the business. Reference data tends to be overlooked in many enterprises but although its amount in most organizations is relatively small, it can cause a major difference in data management.
Dataedo
Dataedo is an on-premises data catalog & metadata management tool. With Dataedo you can catalog, document, and understand your data. It also allows you to keep all your reference data in one place to easily access, distribute, and update it across different data sources.
| Commercial: | Commercial |
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Ataccama Reference Data Management
Ataccama Reference Data managment is an intuitive, feature-rich web app for your reference data. It lets you maintain valid reference data in a centrally managed solution and provide valid reference data to systems and users. Some of its key features include data governance, data quality management, error-free authoring & editing, data integration & warehousing, etc.
| Commercial: | Commercial |
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Informatica Reference 360
Informatica Reference 360 is a cloud-based reference data management solution. It offers easy to use and configurable dashboard for managing the complete lifecycle of reference data. It lets you manage simple and complex hierarchies, while offers flexibility to model simple and complex reference codes and relationships.
| Commercial: | Commercial |
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IBM InfoSphere MDM Reference Data Management Hub
IBM InfoSphere MDM Reference Data Management Hub is an advanced solution for centrally managing and distributing reference data across the enterprise. It enables you to effectively process and control reference information across the enterprise and provides the capacity to centralize stewardship, auditing, and security related to reference data management and distribution.
| Commercial: | Commercial |
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Software AG’s webMethods OneData
Software AG’s webMethods OneData master data management solutions provide “one version of the truth” when it comes to data, right out of the box. In addition to multi-domain master data management, webMethods OneData enables you to manage customer, reference, and hierarchy data. It provides a rich feature set that includes tools for analysis, reporting, modeling, acquisition and deployment, repository, and management of data.
| Commercial: | Commercial |
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erwin Data Catalog
The erwin Data Catalog Suite efficiently integrates and activates data in a single, unified catalog in accordance with business requirements. One of its key components is erwin Reference Data Manager, which manages reference data of all types to provide visibility, control and consistency, reduce costs, and ensure accurate and consistent use across enterprise systems.
| Commercial: | Commercial |
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SAS Reference Data Manager
SAS Reference Data Manager provides hierarchy and data management capabilities for your organization's reference data. Using SAS Reference Data Manager, you can access a repository to manage important reference data that is used by technical, business, and IT users. This repository can be centrally managed, versioned (the history and progression of changes to the data can be maintained and managed), linked to business terms defined in the Business Data Network component of Web Studio, or exported to external systems.
| Commercial: | Commercial |
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Reference data is the most shared class of data in an entire organization. It impacts daily operations and contains valuable insights. In order to deliver its value, reference data management tools allow access and distribution of reference data across multiple systems and help data stewards populate and manage it over time.
Reference data management tools are not only automating workflows but also:
Minimizing errors and inefficiencies,
Reducing data and operational management cost,
Mapping data,
Comparing data from various parts of the organization.
Presented above is the list of paid solutions for reference data management that can also take care of data quality management and data validation.