1. UBC IT Integrated Reporting Working Committee October 26 th, 2011

2.  Introductions (20 min, Monique Van Vliet)  Terms of Reference (30 min, David Truong)  Confirm Terms of Reference  Confirm Committee membership  Program Overview (30 min, David Truong)  Background  Conceptual Solution  Schedule  Organization  Updates  Next Steps (10 min, David Truong) Agenda

3. Introductions  Name  Role at UBC  Familiarity with Reporting/Analytics and Data Management  Expectations for the IR Program

4. Terms of Reference  Please refer to Word document handout  Confirm that we have the right membership  Membership will evolve over the lifetime of the program and guests will be brought in for special topics  Will have a broader distribution list for meeting presentation and minutes

5. Program Overview: Background  Multiple departmental BI solutions  Varied landscape of licensed tools including Oracle, IBM, MSFT, SAP, Jaspersoft, MSTR, SPSS, Custom, Open Source  Spaghetti of interconnections for data integration with many point to point interfaces that are manual, incomplete, and of uncertain quality  Early “Data Warehouses” in PAIR and in Enrolment Services  Critical stakeholder needs not fully met for integrated information and query/reporting access  Data governance is distributed  Data Model and Dictionary lacking or non-existent in some areas Based on the current state of reporting and data management solutions at UBC, there is significant benefits that can be gained through a central IR platform.

6. Program Overview: Conceptual Solution (1 of 5) The program will seek to establish a standard information management framework to service the broader University community. Data Access Data ManagementData Integration Governance Data Security Data Sources Metadata Operations

7. Program Overview: Conceptual Solution (2 of 5) Data Access Data Management Governance Data Security Metadata Operations Data Integration Data Sources Data Quality Extract, Transform, Load Data Enrichment Batch Near Real-time Cleansing Profiling Harmonization Demographic Lineage Etc. The Data Integration layer will extract key operational data, apply transformation logic, cleanse and conforming the data; typically 60% to 80% of effort spent here. Finance Student HR External Research Land & Building Academic

8. Program Overview: Conceptual Solution (3 of 5) Data Access Governance Data Security Metadata Operations Data Management Data Warehouse Atomic Data Warehouse Subject Specific Data Marts Source Data Sets Unstructured Information Master Data Operational Data Store Business Views Enterprise Data Warehouse Data Integration Data Sources Data Quality Extract, Transform, Load Data Enrichment Batch Near Real-time Cleansing Profiling Harmonization Demographic Lineage Etc. The Data Management layer contains the different data stores of operational and enriched data; key here is properly documented data model and dictionaries. Finance Student HR External Research Land & Building Academic

9. Program Overview: Conceptual Solution (4 of 5) Governance Data Security Metadata Operations Data Access Reporting / Analysis Data Mining Ad-hoc Analysis Reports Enterprise Portal Dashboards Publish / Alerts Mobile Performance Management Data Management Data Warehouse Atomic Data Warehouse Subject Specific Data Marts Source Data Sets Unstructured Information Master Data Operational Data Store Business Views Enterprise Data Warehouse Data Integration Data Sources Data Quality Extract, Transform, Load Data Enrichment Batch Near Real-time Cleansing Profiling Harmonization Demographic Lineage Etc. The Data Access layer is where the various information delivery channels are used depending on the type of analysis being done. Finance Student HR External Research Land & Building Academic

10. Program Overview: Conceptual Solution (5 of 5) Governance Metadata Methodology Technical Business Strategy/Vision Demand Planning Capability Definition Release Management StandardsSkills/Training Metadata Data Security Data Privacy Authentication Authorization Operations AuditError-Handling Data Retention Single Sign-on ID & Access Mgmt Capacity Schedule Backup/ArchivePerformance Data Access Reporting / Analysis Data Mining Ad-hoc Analysis Reports Enterprise Portal Dashboards Publish / Alerts Mobile Performance Management Data Management Data Warehouse Atomic Data Warehouse Subject Specific Data Marts Source Data Sets Unstructured Information Master Data Operational Data Store Business Views Enterprise Data Warehouse Data Integration Data Sources Data Quality Extract, Transform, Load Data Enrichment Finance Batch Near Real-time Student HR External Research Land & Building Cleansing Profiling Harmonization Demographic Lineage Etc. Governance, Metadata, Security, and Operations provide important supporting processes. Academic

11. Program Overview: Schedule

12. Program Overview: Organization

13. Program Overview: Updates The program team has been focused on the following activities:  Completed mobilization activities including Oracle BI training and establishing program organization  Completed initial assessment of the current-state reporting environment within Finance, Student, RISe, Learning Apps, and PAIR as input into the IR solution blueprint  Assessing the data analysis, reports and dashboard functionality provided by the Oracle Finance & Student Data Warehouse solutions  Confirmed the scope of work against the approved budget  International Student Initiative pilot underway  Initiated the build of the Oracle BI environment

14. Next Steps  Provide feedback on Terms of Reference and Committee membership  Discuss Findings from Finance Discovery and initial discussions on Scope of Finance DW  Findings from Student Campus Solution Analysis and initial discussions on Scope of Student DW  Findings from ISI Pilot and OBIEE usability – potential pilot Our next meeting will be held in late November, potential items include: