Admin at 13:15, 25 January 2017

2017-01-25T13:15:18Z

Admin: Created page with "{{DISPLAYTITLE: Master Data Management Components}} == Master Data Management Components == '''Lifecycle Management Services:''' These services manage the lifecycle of master..."

2017-01-25T13:10:13Z

Created page with "{{DISPLAYTITLE: Master Data Management Components}} == Master Data Management Components == '''Lifecycle Management Services:''' These services manage the lifecycle of master..."

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{{DISPLAYTITLE: Master Data Management Components}}
== Master Data Management Components ==
'''Lifecycle Management Services:''' These services manage the lifecycle of master data and provide CRUD operations on it. These services also apply relevant business logic and invoke Data Quality Management Services and Master Data Even Management Services.

'''Hierarchy and Relationship Management Services:''' Hierarchies (such as product hierarchies or organization hierarchies), groupings, and relationships (such as customer-product relationships or household relationships) are managed by this services group. If there is a business need, Identity Analytics Services from the Analytical Services Component can be called these services to discover non-obvious relationships that are then persisted as part of the master data.

'''Master Data Management Event Management Services:''' Actionable master data is the key objective of the services in this group. Events can be defined based on business rules, time scheduled, or governance policies. An example is an event based on a contract for a fixed term deposit that expires in four weeks. The bank clerk receives a notification due to this event to call the customer to discuss which other financial product would be the right fit for a reinvestment after the money becomes available, optimizing business results for the bank.

'''Authoring Services:''' Support for the collaborative method of use is enabled by the Authoring Services. They provide capabilities to author, augment, and approve the definition of master data in collaborative workflows.

'''Data Quality Management Services:''' Data quality rules are validated and enforced by the Data Quality Management Services. Examples include name and address standardization, cross referencing, and master data redconciliation tasks. Reconciliation covers deterministic and probabilistic matching, collapse and split, confluct resolution, and self-correcting capabilities. These services might leverage appropriate services from the Information Integration Component.

'''Base Services:''' These services cover security and privacy aspects such as authorization, audit logging capabilites on the service, data, event level, and workflow capabilities. Audit logging might be integrated with an end-to-end audit logging infrastructure as part of the Operational Model. Furthermore, search functions such as exact match, partial match, and wild card search, as well as predefined and ad-hoc queries, are supported.

[[File:Master Data Management Components.png|thumb|800px|Figure 1: Master Data Management Components.]]

[[Category: Information Architecture]]
[[Category: Application Hosting, Management & Development]]
[[Category: Big Data]]
[[Category: Data & Analytics]]
[[Category: System Architecture]]

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 [[Category: Information Architecture]]
 [[Category: Big Data]]
 [[Category: Data & Analytics]]
 [[Category: System Architecture]]

LEAD Reference Content:Master Data Management Components - Revision history

Admin at 13:15, 25 January 2017

Admin: Created page with "{{DISPLAYTITLE: Master Data Management Components}} == Master Data Management Components == '''Lifecycle Management Services:''' These services manage the lifecycle of master..."