Msc thesis presentation on Data migration within Eskan Bank (Case study)

1. AN ANALYSIS OF ESKAN BANK’S DATA MIGRATION PROCESS WITHIN ITS CORE BANKING MIGRATION By Abdulla I. AlBurshaid A presentation on the dissertation submitted in full fulfillment of the requirements for the degree of MSC Information Technology Management University of Sunderland 2007/2008

5. Data Migration Project Issues DM Projects Issues (A) Budget (B) Personnel (C) Technical (D) Duration (E) Environment (F) Approach

6. Budget Issues Budget Budget Overrun Budget Allocation Acquiring Budget

7. Exceeding Budget Bloor Research, 2007

8. Reason for Budget Overrun Bloor Research, 2007

9. Personnel Issues Personnel Lack of Expertise PM(s) Capacity

11. Staff time utilised in DM Bloor Research, 2007

12. Technical Issues Technical Hardware Software Infrastructure

13. Application Downtime Bloor Research, 2007

14. Data Migration Tools Which PM tools were used on the DM portion of the project? (Multiple responses allowed). Bloor Research, 2007

15. Data Migration Tools Allocation Bloor Research, 2007

16. Duration Issues Schedule Duration Allocation Duration Overrun Scheduling

17. Extent of Time Overrun Bloor Research, 2007

18. Cause of Time Overrun Bloor Research, 2007

19. Environment Issues Environment Staff Resistance Legal Business Process Stakeholders

20. Who was responsible for the management of the DM phase of the project? Bloor Research, 2007

21. Who owned responsibility for delivery of the DM project? Bloor Research, 2007

22. Approach DM Methodology Training Plan

23. Who decided on the methodology and approach to the DM phase of the project? Bloor Research, 2007

24. Did you use a formal documented approach (methodology) for performing DM activities? Bloor Research, 2007

25. Staff Time Utilised in Training Bloor Research, 2007

26. Auditor Recommendation Risk & Controls: -Sustained Compliance -Operational Effectiveness - Quality of information -Transparency Technology: -Scalability -Enablement -Cost -Data Integrity Organization & People: -Strategy & Structure -Accountability -Knowledge & Skills -Change Management Process Optimization: -Speed -Efficiency -Timeliness -Resource Allocation Performance Risk DM PROJECT

27. Dimensions Stages DEPLOY TEST BUILD DESIGN Technology Organisation & People Process Optimisation Risk & Controls

33. Eskan Bank Background Eskan Bank was established and incorporated as a joint stock company and separate entity to the Government of the Kingdom of Bahrain in 1979 by Decree Law No.4/1979 as published in the Official Gazette Issue No. 1322 15 March 1979 and as amended by the Decree Law 75/2006. Its prime responsibility covers the development of the construction industry in Bahrain to support major housing programmes administered by the MOWH . Over the last 25 years, Eskan has provided more than one (1) billion US dollars in different types of loans to Bahrainis. Since its establishment, Eskan has consistently retained its position as the leading player in Bahrain’s finance / mortgage market. Eskan has to date been able to help over 14,000 families in Bahrain to build/ purchase new homes or to renovate their existing properties.

34. Eskan Bank I.T. Department Eskan Banks I.T. department have been undergoing migrations of several systems. This project will focus on one of the many, ‘The Migration of Core Banking. Thus, data migration is inevitable. The data migration phase of this project is seen as a crucial step towards achieving a successful, modernised, and capable core banking system. Consequently, the overall banks capability and efficiency in there modernisation vision of business processes lay upon the success of the crucial data migration phase in there core banking migration project.

35. Eskan Bank Data Migration Experience Builds the Bank’s reputation Creates new customer opportunities Fosters company vision and mission Improves market position relative to competitors Improves the ability to serve customers Increases competitiveness and ability to charge a premium Organizational Benefits:

36. Eskan Bank Data Migration Experience Decreases employee work loads for undesirable work Eliminates non-value added activities Improves employee morale / team spirit Improves internal communication between departments and groups Improves use of workspace Increases employee and process productivity Reduces cycle time Operational Benefits:

37. Eskan Bank Data Migration Experience Decreases maintenance/support costs Improves application/system performance Improves application/system utilization rate Increases efficiency of support activities Increases productivity through automation Maintains intellectual property investment Preserves value of technology Information Technology Benefits:

38. Eskan Bank System Change Risks A red square = Unacceptable. Major disruption is likely. Different approach is required. Priority management decision required. A yellow square = Moderate. Some disruption, approach may be required. Additional management decision required. A green square = Minimum impact. Minimum oversight needed to ensure risk remains low.

39. Eskan Bank Data Migration Project Risks Project Manager: Impact 5 4 3 2 1 A B Migration Leap Control Data Data Fields C Personnel Resources / Hardware Resources Reports Configuration Control / Archiving / Education & Training D Resistance E Risk Level (Risk Exposure) Probability

40. Eskan Bank Data Migration Project Risks Consultant: Impact 5 4 3 2 1 Data Fields / Reports / Hardware Resource A Configuration Control / Control Data / Education & Training Archiving B Migration Leap Resistance C Personnel Resources D E Risk Level (Risk Exposure) Probability

42. Eskan Bank System Change Proposed Action Some proposed actions were put into performance due to several hiccups stated: i) Discontinuance of parallel run: The discontinuance of parallel run is vital to reconcile the differences and to utilise the new system in its full optimum performance. ii) Reconciliation of differences: In order to complete the reconciliation process efficiently, use of automated data analytics tools like ACL tm to reconcile data between two or more systems. Reconciliation of data involves the following steps: iii) Data Quality Assurance: Data quality assurance process involves verifying completeness of data using analytical tools and identifying inconsistencies. These errors are then brought to the attention of the appropriate personnel for actions to rectify the same.

46. Thank you for listening.. Any Questions?