MASTER DATA MANAGEMENT, ROAD MAP CITY OF EKURHULENI, GAUTENG PROVINCE, RSA MORENA wa LETSOSA.
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Transcript of MASTER DATA MANAGEMENT, ROAD MAP CITY OF EKURHULENI, GAUTENG PROVINCE, RSA MORENA wa LETSOSA.
MASTER DATA MANAGEMENT, ROAD MAPCITY OF EKURHULENI, GAUTENG PROVINCE, RSA
MORENA wa LETSOSA
TABLE OF CONTENTS
1.1. Introduction to MDMIntroduction to MDM2.2. Data Governance Data Governance
1.1. StakeholdersStakeholders2.2. FrameworkFramework3.3. ObjectivesObjectives4.4. Central Property Management Central Property Management
3.3. Approach towards MDM ModelApproach towards MDM Model4.4. MDM Model for EkurhuleniMDM Model for Ekurhuleni5.5. Conclusion Conclusion
Introduction to MDMDefinition:A process that spans an organization’s business processes and application systems, enabling the ability to create, store, maintain, exchange, and synchronize a consistent, accurate, and timely ‘system of record’ for core business. A customer information system/database.Characteristics:•It is shared across systems•It is owned and governed by functional groups•It is fundamental to the proper execution of processes•Uniquely identified entitiesMDM is a Single view of the truth: •Managing master data definitions (metadata)•Data modelling•Master data discovery and mapping•Master data quality profiling•Hierarchy management•Master data cleansing•Master data integration•Provisioning•Master data synchronisation
Current scenario of the Customer Info
Data Governance
Data Governance Stakeholders
Data Governance objectivesThe “Final Goal” is for EMM to have credible data sources to enable the delivery of management and regulatory information in a timely manner. These include the following:A “single view” of the customerHave one golden record for each customer with a composite set of information for each account the customer has with EMM.Enable the capability to associate “other” forms of information such as building plans or scanned document to a specific customer.Improve customer data qualityDefine master data source and slave targets – clearly define data flows.Define a set of data and business rules for each data element and apply them to all CCA’s.Improve EMM efficiency levels for data collectionSimplify business processes and reduce duplication of data.Establish a standard set of business processes to be implemented across all CCA’s in a uniform manner.Increase EMM’s ability to collect revenueHave a consolidated view of customer accounts
Central Property Management
Approach towards the MDM Model
Consolidation of the Customer info to a single Oracle Data Hub as part of the CRM
Employee Number
1INVOLVED PARTY
1.1CUSTOMER
1.3SUPPLIER
1.3.1ATTORNEY
1.3.2DEBT COLLECTION
AGENT
1.3.3METER
MANAGEMENT AGENT
1.2EMM EMPLOYEE
1.1.1INDIVIDUAL
1.1.2.2INSTITUTION
1.1.3OWNER
1.1.4TENANT
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1.1.2.1.1NOT FOR PROFIT
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1.1.4.2OCCUPANT
1.1.4.1AGENT
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1.1.1.3INDIGENT
2PROPERTY
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Id NumberPassport NumberMarital Status
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1.8.1CUSTOMER CARE
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4.1SERVICE ACCOUNT
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1.2.2COUNCILLOR
1.2.1SECTION 57
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1.1.2ORGANISATION
1.1.1.1NEXT OF KIN
Company Registration Number
1.1.2.1.2COMMERCIAL
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2.4ADDRESS TYPE
2.3ADDRESS
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2.1TOWN
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3.1NON-METERED
5TRANSACTION
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2.7PROPERTY PROFILE
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4.3GROUP ACCOUNT
3.7PROPERTY
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Each of the Profile Code Tables and Profile Entities includes a number of code tables applicable to the entity. Would EM require history.
This model is a logical view of most of the Venus data specifically applicable to the business functional areas interviewed
2.8TOWN STREET
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3.6SERVICEDEPOT
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1.8.4JOB TITLE
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Master Data Management Model
• MDM is not a project but an organisational transformation, promoting the management of datasets;
• There must be significant focus on governance and this must be on-going;
• MDM is an iterative journey involving people, processes and technology;
• MDM is a collaborative initiative between IT and Business and requires total management commitment; and
• Success of MDM rests with GIS
Conclusion