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MASTER DATA MANAGEMENT, ROAD MAP CITY OF EKURHULENI, GAUTENG PROVINCE, RSA

MASTER DATA MANAGEMENT, ROAD MAP CITY OF EKURHULENI, GAUTENG PROVINCE, RSA. MORENA wa LETSOSA. TABLE OF CONTENTS. Introduction to MDM Data Governance Stakeholders Framework Objectives Central Property Management Approach towards MDM Model MDM Model for Ekurhuleni Conclusion.

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MASTER DATA MANAGEMENT, ROAD MAP CITY OF EKURHULENI, GAUTENG PROVINCE, RSA

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  1. MASTER DATA MANAGEMENT, ROAD MAPCITY OF EKURHULENI, GAUTENG PROVINCE, RSA MORENA wa LETSOSA

  2. TABLE OF CONTENTS • Introduction to MDM • Data Governance • Stakeholders • Framework • Objectives • Central Property Management • Approach towards MDM Model • MDM Model for Ekurhuleni • Conclusion

  3. Introduction to MDM Definition: 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 entities MDM 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

  4. Current scenario of the Customer Info

  5. Data Governance

  6. Data Governance Stakeholders

  7. Data Governance objectives The “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 customer Have 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 quality Define 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 collection Simplify 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 revenue Have a consolidated view of customer accounts

  8. Central Property Management

  9. Approach towards the MDM Model Consolidation of the Customer info to a single Oracle Data Hub as part of the CRM

  10. Master Data Management Model SUPPLIER EMPLOYEE CUSTOMER PROPERTY ACCOUNT Acc. TYPES SERVICES

  11. Conclusion • 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

  12. Thank you! morenal@ekurhuleni.gov.za 011 999 4019

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