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Welcome! BI Executive Sponsors October 13, 2015

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Presentation on theme: "Welcome! BI Executive Sponsors October 13, 2015"— Presentation transcript:

1 Welcome! BI Executive Sponsors October 13, 2015
Business Intelligence @ University of Wisconsin Wisconsin Welcome! BI Executive Sponsors October 13, 2015

2 Agenda Status Update for new BI Solution MAJOR paradigm shift required
Review timeline Project structure MAJOR paradigm shift required Semantic layer in modern BI tools is new What this means for campuses Executive Sponsor responsibilities On your campus Secure spending authority, resources for key roles on your campus Vocal, visible champion Support Project Coordinator As a team Govern timeline and resources Manage risks Discussion

3 BI RFP Status Update Will begin contract negotiation
Could take 1-2 months

4 Revised Timeline for Move to New BI Tool Replacing Interactive Reporting
Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Campuses Build Semantic Layer Develop Dashboards (15 months) RFP Weighting Tier 1 Scoring UW System Shared Queries Conversion Build Semantic Layer IR Out of Support by Oracle Select Finalists Use Cases to Finalists End of UW System Paid Maintenance; shut off IR Workspace Software Purchase Begin Installation Campus Admins; Two developers/campus training on new system toolset RFP ‘On Street’ Score Demo, TCO; Select Vendor Evaluate Vendor Responses Vendor Presentations

5 Project Structure

6 BI Core Team Participants

7 Executive Sponsors Project Coordinators

8 Enlightenment – RFP for new BI software
Interactive Reporting New BI software Standalone query and reporting tool An enterprise-level reporting with access to multiple data sources on a shareable enterprise data model called a semantic layer

9 Successful Tool Replacement Requires Paradigm Shift
Loss of familiar disruptive Learn something new Usually with inadequate training resources Semantic layer and Data silos Ungoverned data environment Inadequate data structures Minimal BI infrastructure Few data architects All within context of embattled UW System Budget cuts Loss of staff

10 What is a Semantic Layer?
Why would we want one?

11 Software vendors successfully
Sell Systems that record data, e.g., Campus Solutions HRS SFS etc Without the facility to make data available for reporting and analysis

12 Why? Reporting secondary function to those purchasing ERPs
Reporting secondary function for vendors Customer reporting needs differ Thus, vendors offer lowest common denominator ERPs designed to optimize transactions not flexible reporting and analysis

13 Thus . . . Organizations wishing to make most of information need to FILL THE GAP Create standard reports Create data warehouse Create suite of analytics To some extent UW System campuses have done this.

14 Reporting Today  Tomorrow
Current: Use query Language  data tables Future: Use Semantic Layer Madison Student Data Model Interactive Reporting Platteville Subject Area From Semantic Layer Oracle’s OBIEE

15 Semantic Layer is . . . Key component in successful BI Tool Implementation Business representation of transaction data where users Are insulated from technical details, e.g., creating data models Create queries using familiar terms Can include computed items See data not as a collection of tables (needing joins) but rather a single organized list of business fields from multiple sources Specify query by selecting fields Point and click to customize report appearance . . . Tables, crosstabs, graphs Enables ‘self service’ Implements ‘single version of truth’

16 What does this mean for campuses?
Remember, UW-System’s Responsibility (CSRG) Tool software replacement Conversion of System-wide shared queries Limited training of selected roles at campuses Campus Admins Two developers per campus Responsibilities of Campuses Assessment/conversion of queries/reports/jobs Embedded in conversion is creation of semantic layer Training of ad hoc query writers Training of users of new system

17 Key roles for each campus
Executive Sponsor Project Coordinator Project Manager BI Developer(s) Semantic Layer development Report development Others . . .

18 Executive Sponsor Responsibilities . . . On your campus (from PMBOK)
Ultimately responsible for securing spending authority and resources for the project. Ideally, should be the highest-ranking manager possible, in proportion to the project size and scope. Vocal and visible champion, legitimizes the project’s goals and objectives, keeps abreast of major project activities, and is the ultimate decision-maker for the project. Provides support for the Project Coordinator and has final approval of all scope changes, and signs off on approvals to proceed to each succeeding project phase. This definition is from PMBOK

19 Executive Sponsor Responsibilities . . . As a team
Act as governing body for timeline/resources Manage project risks for UW System Assess risks that come up and decide how to mitigate Ensure that a campus does not fall behind in implementation Decide whether to cut off Interactive Reporting even though a campus is not ready This definition is from PMBOK

20 Project Coordinator Responsibilities
Serve as member of BI implementation team Identification of the campus BI administrator Identification of two technical developers for training Communicate with and coordinate training of campus Workspace users to ensure their understanding, support, commitment, and action during this transition Communicate with and coordinate training of the ad hoc IR users to ensure their understanding, support, commitment, and action regarding their own local/specialized queries. Review, access convert/consolidate/eliminate campus specific queries/reports to the new BI tool.

21 Discussion: Preparing for move to new BI tool . . . Madison campus example
Learning Analytics Student Success Metrics Consultation Community Services Champion Best Practices Education Support Alignment with Governance BICOP Ad-Hoc Queries Operational Reporting Budget Models (3) Business Intelligence Community of Practice Madison campus example Data Dictionary Business Logic Transformation (4) Data Stewardship Consistent Definitions Policies & Standards (1) Data Governance Student HR Financials Budget LMS Data Sources

22 Discussion

23 Good-bye! Next Meeting November 17, 2015 Wisline Web


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