chapter 14 16-1 2012 pearson education, inc. publishing as prentice hall
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© 2012 Pearson Education, Inc. Publishing as Prentice Hall Increased storage capabilities Layers of “enterprise” solutions Multiple groups managing data Ownership issues Short term workarounds 16-3TRANSCRIPT
Master Data Management
Chapter 14
16-1© 2012 Pearson Education, Inc. Publishing as Prentice Hall
© 2012 Pearson Education, Inc. Publishing as Prentice Hall
The Data Management Challenge
IT landscape littered with legacy, packaged & developed applicationscoupled with unstructured data
Uncontrolled silos of datamake managing information very difficultand limit its strategic value
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© 2012 Pearson Education, Inc. Publishing as Prentice Hall
Factors Increasing the Data Management Challenge
Increased storage capabilitiesLayers of “enterprise” solutionsMultiple groups managing dataOwnership issuesShort term workarounds
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© 2012 Pearson Education, Inc. Publishing as Prentice Hall
What is Master Data Management (MDM)?
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Independent process that describes, owns & manages core business data entities
Ensuresconsistency accuracy of these databy providing a single set of guidelines for management, thereby creates common view of key data
© 2012 Pearson Education, Inc. Publishing as Prentice Hall
The MDM and the Data Ecosystem
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InformationDelivery
DataWarehouse
MasterDataStore
Data Quality
Data Integration
MetadataData Management
MDM
IM Strategy & Principles
Enterprise Architecture
© 2012 Pearson Education, Inc. Publishing as Prentice Hall
The Data Ecosystem: IM Strategy and Principles
Information Management (IM) covers all forms of info needed & produced by business
IM strategy & principlesstructure, secure & improve information assetsprovide the context in which MDM is accomplished
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© 2012 Pearson Education, Inc. Publishing as Prentice Hall
The Data Ecosystem: Enterprise ArchitectureIM strategy & principles
should be important contributors to enterprise architecture
Information architecture should be as separate as possible.
Establishment of a dialogue & discipline for core corporate dataprovides the highest value
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© 2012 Pearson Education, Inc. Publishing as Prentice Hall
The Data Ecosystem: Data Management
Data management (DM)is the critical work of making decisions about data
Information stewardsresponsible for DMcheck accuracy, timelines, life cycle & redundancy of data
MDM subset of DM that focusing on core data
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© 2012 Pearson Education, Inc. Publishing as Prentice Hall
The Data Ecosystem: Data QualityData quality
aims to ensure data correct, complete, current & consistentPossible to have data quality without DM, but not possible to have data DM without data quality
MDM efforts focus costs & challenges of data quality on core data
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© 2012 Pearson Education, Inc. Publishing as Prentice Hall
The Data Ecosystem: Data Integration
Goal of data integrationCreate data warehouse as credible source of integrated info
Data integration serves two purposes: Enables data to be combined & collected in a
warehouse Consolidates data not deemed to be core, but which
are created & updated by several applications
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© 2012 Pearson Education, Inc. Publishing as Prentice Hall
The MDM Value Proposition
A single source of a company’s data provides:
Better information
Cost savings thru improved quality
Improved business capabilities in better supporting customers
Improved technical capabilities by reducing redundancy & data integration
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© 2012 Pearson Education, Inc. Publishing as Prentice Hall
Prerequisites for MDM SuccessDevelop an enterprise information policy
Delineate principles for corporate data objectives, data ownership & accountability, privacy, security & risk management
Business ownershipStakeholders must be involved in MDM or political problems may ensue
GovernanceEstablish cross-functional, collaborative IT & business data governance processMDM can’t be sustained without governance
Role of IT DM primarily nontechnical problem; however technology & IT staff play important roles:
IT staff has skills to develop a data strategy, model data assess applicationsTechnology maintains data models & repositories
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© 2012 Pearson Education, Inc. Publishing as Prentice Hall
Conclusion
MDM is wrapper for concepts & issues have been afflicting IT for long time
MDM initiative needs thorough planning and incremental approach: Identify some small, quick wins Focus efforts on one type of data Learn with the business how to manage process Develop & continually revisit & info roadmap &
strategy
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