An Overview of Master Data Management Architecture

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MASTER DATA MANAGEMENT
ARCHITECTURE
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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