MASTER DATA MANAGEMENT, ROAD MAP CITY OF EKURHULENI, GAUTENG PROVINCE, RSA MORENA wa LETSOSA.

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Presentation transcript:

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

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

Current scenario of the Customer Info CRM Oracle Oracle HRMS (Peelow) E-Health MySQL Venus (Financial system) Natural/ Adabas Cash Drawer (Receipting) SQL/Access Sirsi Dynix (Library Oracle) Infores Cash Power (Pre-Paid Electricity) SQL Intenda Solution Suite SQL TCS (Traffic Contravention Sys) SQL GIS Oracle Current scenario of the Customer Info

Data Governance

Data Governance Stakeholders

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

Central Property Management

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

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

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

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