Master Data Management (MDM) is a framework of processes and technologies aimed at ensuring the accuracy and consistency of an organization's key data assets across systems. The MDM architecture comprises several layers, including data integration, data quality, data governance, an MDM hub, and a data access layer, which collectively facilitate a single, trusted view of master data. Implementing MDM architecture enhances data quality, minimizes inaccuracies, and supports better decision-making as data complexity increases.

1. Master Data Management
Architecture

2. INTRODUCTION
Master Data Management (MDM) is a set
of processes, policies, and technologies
used to manage an organization's critical
data assets.
The goal of MDM is to ensure that data is
consistent, accurate, and complete
across different systems and business
units.
MDM helps organizations make better
decisions by providing a single, trusted
view of their data.

3. WHAT IS MASTER DATA?
Master Data refers to the key business
entities that an organization uses to
operate, including customers, products,
employees, and suppliers.
Master Data is typically used across
different departments, systems, and
applications within an organization.
Ensuring the accuracy and consistency
of Master Data is critical to maintaining
business operations and making
informed decisions.

4. MDM ARCHITECTURE OVERVIEW
Master Data Management Architecture
consists of several layers, including Data
Integration, Data Quality, Data
Governance, MDM Hub, and Data Access.
Each layer plays a critical role in ensuring
that Master Data is consistent, accurate,
and complete across different systems
and business units.
MDM architecture is designed to provide
a single, trusted view of Master Data that
can be accessed by all authorized users
and systems.

5. DATA INTEGRATION LAYER
The Data Integration Layer is responsible
for connecting different data sources
and consolidating data into a single,
consistent view.
This layer includes tools and
technologies for data mapping,
transformation, and cleansing.
The Data Integration Layer ensures that
Master Data is available to all systems
and applications that need it.

6. DATA QUALITY LAYER
The Data Quality Layer is responsible for
ensuring that Master Data is accurate,
complete, and consistent.
This layer includes tools and
technologies for data profiling, cleansing,
and matching.
The Data Quality Layer helps
organizations maintain high-quality data
and avoid errors and inconsistencies that
can lead to business problems.

7. DATA GOVERNANCE LAYER
The Data Governance Layer is
responsible for defining data policies,
standards, and rules for Master Data.
This layer includes processes for data
ownership, stewardship, and security.
The Data Governance Layer helps
organizations ensure that Master Data is
managed in a consistent and compliant
manner.

8. MDM HUB
The MDM Hub is the central repository
for Master Data and is designed to
provide a single, trusted view of Master
Data across the organization.
The MDM Hub includes tools and
technologies for data modeling, data
matching, and data merging.
The MDM Hub enables organizations to
manage and maintain high-quality Master
Data that can be used across different
systems and business units.

9. DATA ACCESS LAYER
The Data Access Layer provides
authorized users and systems with
access to Master Data stored in the MDM
Hub.
This layer includes tools and
technologies for data querying,
reporting, and analytics.
The Data Access Layer ensures that
Master Data is available to all authorized
users and systems securely and
efficiently.

10. CONCLUSION
MDM architecture is critical to ensuring
that Master Data is consistent, accurate,
and complete across different systems
and business units.
By implementing MDM architecture,
organizations can improve their data
quality, reduce errors and inconsistencies,
and make better decisions.
As the volume and complexity of data
continue to grow, MDM architecture will
become even more important for
organizations looking to stay competitive
in today's data-driven business
environment.

11. CONTACT
US
We look forward to working
with you
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info@dataio.co

12. THANK
YOU