Organizations looking to implement a reference data management strategy will need the right tools to simplify reference data management, consolidate reference data across the enterprise, standardize the data, and create a single source of trusted information.

Reference data management plays a pivotal role in dismantling data silos and centralizing data within a single, secure system. How does reference data management work? RDM can be effectively broken down into three main phases: 1. Data Collection and Integration:

Jun 1, 2021 · Reference data management defines values used to classify & characterize other data. It’s the “What, Where, When, Who, & How” of data. Learn more in this guide!

Oct 14, 2022 · Reference data management (RDM) is built on ingestion, storage and maintenance of static financial data such as securities terms and conditions, legal entity identifiers (LEIs), maturity dates and customer data.

Sep 28, 2023 · Reference data management refers to the processes and technologies used by businesses to categorize and maintain their critical data. Examples include country codes, product codes, or a list of valid values for a particular field in a database.

Out-of-Box reports and dashboards simplifying management. Reference Data Management enables you to maintain a consistent representation of reference data across all departments and databases in your organization, and externally.

Reference data management is the process of collecting, organising, and managing reference data used across multiple systems and applications. It provides a centralised control, ensuring consistency, compliance, scalability, and quick reaction to new data requirements.

Reference data management is the process of managing classifications and hierarchies across systems and business lines. This may include performing analytics on reference data, tracking changes to reference data, distributing reference data, and more.

Using the same workflows, business rules, automations and controls for master data and reference data, STEP enables the organization to: Combining RDM and MDM allows you to seamlessly integrate reference data into the master data.

Effective Reference Data Management (RDM) involves the organization, categorization, and supervision of reference data – the foundational data used for classifying and contextualising other datasets.