The document outlines the plans of the Department of Transport, Victoria to implement Oracle Business Intelligence (BI) to improve business reporting across various systems like Oracle E-Business and Hyperion. It discusses conducting a needs analysis and options analysis followed by a technology discovery stage to evaluate Oracle BI's capabilities. Based on a pilot, Oracle BI and Oracle Financial Analytics were selected for purchase and implementation in stages, establishing reporting infrastructure and enabling delivery of reporting capabilities. The project aims to create an enhanced eBusiness reporting environment to better support decision making.

1. Managing Business Intelligence projects to fruition Peter Ellenby 16 August 2010, 3:30 – 4:15 Department of Transport, Victoria The most comprehensive Oracle applications & technology content under one roof

8. Looks like this …. 5 interfaces 8 Technologies 3 systems

10. Critical Success Factors Steering Committee as per DOT methods Governance & stakeholder support Finance Director as Project Sponsor Senior management support Initial focus on e-business information, leveraging other information when established Scope management Project Objectives agreed at high level & at each stage of project Clear objectives, criteria for success & progression Strategy CSFs - Organisation

11. Critical Success Factors “ Business Change” project, not technology deployment exercise Breadth & depth Expressed in terms relevant to DOT priorities Justification More than adequate H/W, with fallback positions Scalability Approach as a series of Stages, each with objectives and “hold points” Complexity & Risk Oracle solution, consistent with DOT Architecture Technology Strategy CSFs – Approach

18. Options Analysis - eBusiness Reporting Solution Concept Technology Enablement Technology Integration Report Type Business Process User Type Centre of Excellence Governance eBusiness Database Standard Reports Applications for de-commissioning Ad-hoc Reports Operational Analytical Strategy Reporting Support Standards Policy Personalised Reports Interface Repository Accountabilities Report Output Software Upgrades Hard-copy Disc Online PDF HTML Oracle BI Data Architecture Schemas Security Model

23. Findings – Buy Metrics Project Data (OPIS) Metrics Financial Data (FIS) Metrics GL Data Extract Metrics Description Numbers In Analytics Common Financial Projects Procurement Tables 23 20 87% 4 3 10 3 Columns 112 85 76% 7 12 55 11 Description Numbers In Analytics Common Financial Projects Procurement Tables 27 26 96% 5 16 0 5 Columns 500 260 52% 40 145 0 75 Description Numbers In Analytics Common Financial Projects Procurement Tables 30 26 87% 1 21 0 4 Columns 114 61 53% 1 54 0 6

24. Findings – Buy Metrics Consolidated View of the 3 Extracts What is the data required to complete the data warehouse for the extracts Description Numbers In Analytics Common Financial Projects Procurement Tables 66 59 89% 9 30 10 10 Columns 692 381 55% 46 193 55 88 Description Easy Dimension Analysis Tables 1 4 2 Columns 307 0 4