Azure MDM – Master Data Management
A key design principle for Digital Government is ‘MDM’ – Master Data Management, an approach that seeks to unify multiple stores of data into a single logical instance that tackles the issues of duplication and poor quality.
A headline challenge for the public sector adoption of digital technologies is the scale and complexity of data they manage.
Like many enterprise organizations they operate a vast estate of many different applications ranging in size and age, spanning multiple departments and suppliers.
This proliferation can prove a major impediment in achieving a unified, cost effective experience for citizens as their data is duplicated multiple times, often aged and poor quality, and not part of a single integrated view.
Azure offers a suite of Data Services for managing this complexity. This includes the Data Factory, Synapse Analytics, Data Lake, Managed Databases and Cognitive / AI services.
MDM
A key design principle for Digital Government is ‘MDM’ – Master Data Management, an approach that seeks to unify multiple stores of data into a single logical instance that tackles the issues of duplication and poor quality.
As McKinsey writes here MDM plays an important role with modern data architecture concepts and creates value in five ways:
- MDM cleans, enriches, and standardizes data for key functions, such as customer or product data, before it is loaded into the data lake. In this way, MDM ensures that data is accurate, complete, and consistent across an organization.
- In the context of data products, MDM provides a hub for high-quality data across entities, which improves the effectiveness, consistency, and reliability of data products for improved decision making, accurate reporting and analysis, and compliance with local regulations and standards.
- MDM standardizes data across entities to provide a unified view across various systems.
- MDM can act as a system of reference that shares data with applications and other domains via web services, typically representational state transfer application programming interfaces (REST APIs).
- MDM and artificial intelligence (AI) can benefit from each other. For instance, MDM can leverage AI algorithms to identify duplicate records and merge them intelligently, which can enhance the performance and reliability of generative AI systems.
Featured Partner: Profisee
The Profisee Platform makes it easy to connect any data source, enforce quality standards, sync across systems and deliver high-quality, trusted data to end users.
With integrations across the Azure ecosystem, Profisee makes it easy to connect, manage and govern data across silos — creating certified data for enterprise analytics and decision-making across the data estate. Profisee MDM natively integrates with Azure to align and combine data from any source and enforce consistent data standards on the source data.
