Master Data Fuels the Intelligent Enterprise
Learn why intelligent enterprises are moving to automated, centralized maintenance of financial master data. See how SAP Master Data Governance can help your organization consolidate and govern your master data across the enterprise system landscape, enabling faster financial closes, reliable reporting, and enhanced data governance. Завантажити документSAP Solutions for Enterprise Information Management |
SAP Master Data Governance
Master data fuels the
intelligent enterprise
SAP Master Data Governance
Master data fuels the
intelligent enterprise
2 | 11
Table
of contents
3 Achieve information excellence
through master data governance
4 Master data consolidation and
central governance
5 Replication and syndication
6 Data and process quality
management
7 Multidomain, multivector master
data management
9 Federated master data governance
10 Realizing the benefits
Table
of contents
3 Achieve information excellence
through master data governance
4 Master data consolidation and
central governance
5 Replication and syndication
6 Data and process quality
management
7 Multidomain, multivector master
data management
9 Federated master data governance
10 Realizing the benefits
3 | 11Master Data Fuels the Intelligent Enterprise
Achieve information excellence through master
data governance
Consistent master data fuels operational
excellence. Clean master data helps ensure that
client applications collect and deliver complete,
accurate transactional data to construct a
360-degree view of each domain. Trusted master
data fuels cross-functional analytics that drive
performance management and business decision
making. Integration of master data, with high-
volume unstructured data and machine data, is
critical to understanding real-world performance
and opportunity. Audit trails of financial data
across functional boundaries support compliance
with government and industry regulations.
Data control and management
The SAP Master Data Governance application
provides ready-to-run, domain-specific, master
data governance, so you can locally own and
consolidate or centrally create, change, and
distribute master data across your enterprise
system landscape. Tight integration with other
SAP solutions in a suite-based approach
supports the reuse of data models, business
logic, and validation frameworks. And the
application makes possible open integration to
third-party products and services in your diverse
technology stack, while offering a cloud edition
for hybrid and cloud systems.
Market leaders are moving to digital business to capture emerging opportunities
in real time. Intelligent enterprises use their data assets effectively to achieve the
desired outcomes faster―and with less risk. To regulate the lifeblood of a new IT
landscape, organizations need a rigorous system of master data governance
for seamless integration and quality control. And they must be able to move to the
cloud incrementally, at their own speed, while maintaining consistent master data
governance across lines of business.
Achieve information excellence through master
data governance
Consistent master data fuels operational
excellence. Clean master data helps ensure that
client applications collect and deliver complete,
accurate transactional data to construct a
360-degree view of each domain. Trusted master
data fuels cross-functional analytics that drive
performance management and business decision
making. Integration of master data, with high-
volume unstructured data and machine data, is
critical to understanding real-world performance
and opportunity. Audit trails of financial data
across functional boundaries support compliance
with government and industry regulations.
Data control and management
The SAP Master Data Governance application
provides ready-to-run, domain-specific, master
data governance, so you can locally own and
consolidate or centrally create, change, and
distribute master data across your enterprise
system landscape. Tight integration with other
SAP solutions in a suite-based approach
supports the reuse of data models, business
logic, and validation frameworks. And the
application makes possible open integration to
third-party products and services in your diverse
technology stack, while offering a cloud edition
for hybrid and cloud systems.
Market leaders are moving to digital business to capture emerging opportunities
in real time. Intelligent enterprises use their data assets effectively to achieve the
desired outcomes faster―and with less risk. To regulate the lifeblood of a new IT
landscape, organizations need a rigorous system of master data governance
for seamless integration and quality control. And they must be able to move to the
cloud incrementally, at their own speed, while maintaining consistent master data
governance across lines of business.
4 | 11Master Data Fuels the Intelligent Enterprise
Master data consolidation and central governance
SAP Master Data Governance supports master
data consolidation and central governance
scenarios in a single application (see Figure 1).
You can eliminate data silos by consolidating
master data stored and maintained in SAP
software and third-party sources. You can
process master data from cloud and on-premise
sources, standardize it, detect duplicates, and
put them in match groups. For each match group,
the application builds a best record using fields
from multiple source records based on
survivorship rules. You then can replicate the
validated best records back into the transactional
applications or to a data warehouse to help
improve business process efficiency and
business analysis.
The application supports centralized creation
and maintenance of master data. This helps
automate governance by controlling data quality
at the point of authorship. By integrating data
governance into business processes, you can
help ensure that duplicate checks and field
validations are performed before a new record
is created.
Data oversight and access
Standardized and automated workflow routing
and notifications help ensure participation from
the right people at the right time, and they
increase overall productivity. Version control and
an audit history improve transparency and help
ensure policy and regulatory compliance. In
addition, role-based data access helps enforce
security policies, even on mobile devices.
Figure 1: Typical approaches to master data management
LoB procurementLoB customer LoB finance LoB PLM Other LoB
Systems not under central governance
Legacy
systems
Reporting and
analytics
Business
networks
Cloud
Systems under central governanceConsolidation with SAP®
Master Data Governance
Consolidate master data into a
single view for accurate
analytics and operational
insight (continuously or on
request, for example, for initial
load or mergers and
acquisitions)
Central governance with SAP
Master Data Governance
Create master data in line with
business processes (for
example, integrated product
development or supplier
management)
Enterprise
master data
LoB – Line of business, PLM – Product lifecycle management
Master data consolidation and central governance
SAP Master Data Governance supports master
data consolidation and central governance
scenarios in a single application (see Figure 1).
You can eliminate data silos by consolidating
master data stored and maintained in SAP
software and third-party sources. You can
process master data from cloud and on-premise
sources, standardize it, detect duplicates, and
put them in match groups. For each match group,
the application builds a best record using fields
from multiple source records based on
survivorship rules. You then can replicate the
validated best records back into the transactional
applications or to a data warehouse to help
improve business process efficiency and
business analysis.
The application supports centralized creation
and maintenance of master data. This helps
automate governance by controlling data quality
at the point of authorship. By integrating data
governance into business processes, you can
help ensure that duplicate checks and field
validations are performed before a new record
is created.
Data oversight and access
Standardized and automated workflow routing
and notifications help ensure participation from
the right people at the right time, and they
increase overall productivity. Version control and
an audit history improve transparency and help
ensure policy and regulatory compliance. In
addition, role-based data access helps enforce
security policies, even on mobile devices.
Figure 1: Typical approaches to master data management
LoB procurementLoB customer LoB finance LoB PLM Other LoB
Systems not under central governance
Legacy
systems
Reporting and
analytics
Business
networks
Cloud
Systems under central governanceConsolidation with SAP®
Master Data Governance
Consolidate master data into a
single view for accurate
analytics and operational
insight (continuously or on
request, for example, for initial
load or mergers and
acquisitions)
Central governance with SAP
Master Data Governance
Create master data in line with
business processes (for
example, integrated product
development or supplier
management)
Enterprise
master data
LoB – Line of business, PLM – Product lifecycle management
5 | 11Master Data Fuels the Intelligent Enterprise
Replication and syndication
Once you have validated and approved master
data, the application can distribute it to an SAP
or third-party software system, so you no longer
need to perform manual maintenance multiple
times in different systems. A wide array of
movement mechanisms is supported, including
Web services, application link enabling, remote
function calls, file transfers, and orchestration,
which are independent of the mechanism used.
The application keeps track of what data needs
to be distributed where and what has been
distributed successfully, or not, at the level of the
master data object. Target systems can subscribe
to the distribution of master data based on filter
criteria and delta tracking, which enables tailored
selection of master data for specific applications.
SAP Master Data Governance also uses key
and value mapping to support scenarios where
the same master data object is used in different
systems with different identifiers.
You use key mapping when the
primary key for a supplier is
different in various systems. Key
mapping helps ensure that you know
which primary keys represent the
same thing in different systems. You
use value mapping when codes in
master data attributes are different
among systems. Value mapping helps
ensure proper translating when you
are distributing master data
between systems.
Replication and syndication
Once you have validated and approved master
data, the application can distribute it to an SAP
or third-party software system, so you no longer
need to perform manual maintenance multiple
times in different systems. A wide array of
movement mechanisms is supported, including
Web services, application link enabling, remote
function calls, file transfers, and orchestration,
which are independent of the mechanism used.
The application keeps track of what data needs
to be distributed where and what has been
distributed successfully, or not, at the level of the
master data object. Target systems can subscribe
to the distribution of master data based on filter
criteria and delta tracking, which enables tailored
selection of master data for specific applications.
SAP Master Data Governance also uses key
and value mapping to support scenarios where
the same master data object is used in different
systems with different identifiers.
You use key mapping when the
primary key for a supplier is
different in various systems. Key
mapping helps ensure that you know
which primary keys represent the
same thing in different systems. You
use value mapping when codes in
master data attributes are different
among systems. Value mapping helps
ensure proper translating when you
are distributing master data
between systems.