Data Warehousing and Research: Managing the MillionS $ Marti Graham and Vicky Shaffer April 19, 2005.

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Presentation transcript:

Data Warehousing and Research: Managing the MillionS $ Marti Graham and Vicky Shaffer April 19, 2005

Virginia Tech is… located in Blacksburg, VA the largest in the commonwealth -- 8 colleges and graduate school bachelor’s degree programs master’s and doctoral degree programs -- 25,000+ students among the Top 50 research institutions in the US

Achieve greater eminence and international prominence in science, technology, engineering, and agriculture, while building recognition in the social sciences, business, education, arts, and humanities. Attract highly qualified undergraduate and graduate students and expand graduate enrollment in order to support research and scholarship. Increase sponsored research and scholarly and creative output, and be ranked among the nation’s top 30 universities. Virginia Tech’s Vision

Finance– General Ledger, Operating Ledger, Foundation, Accounts Receivable, Proposals Human Resources– Employee, Job, Position, Job Funding, Payroll, Position Allocation Alumni– Giving Student– Undergrad Admissions, Graduate Admissions, Undergrad Recruiting Parking Services Existing Data Marts

1 Project Leader 4 Data Warehouse Architects 1 Oracle Data Base Administrator 1 Brio Administrator 1 Applications Analyst/Instructor 1 Training and Metadata Coordinator IWA Team consists of…

Met with Sponsored Research Faculty to set our focus and goals Demonstrated a dashboard to illustrate capability Outlined responsibilities Finalized project agreement Project Timeline (in Months) Weekly meetings with functional and technical teams (small group) Examined the Enterprise System to select data fields to include in the ETL. Building the OSP Data Mart

Reviewed existing reports and reporting needs not being met Project Timeline (in Months) Documented data mapping and transformation from the Enterprise System to the Data Mart Designed the Data Mart, taking into account the need to integrate Proposal data with the existing Financial Data Mart Implemented Security Began ETL development (Ascential Software) Defined Quality Control Checks– Data Verification Created Reports, Dashboards and presented Training Building the OSP Data Mart

Help departments evaluate professors for tenure Allow investigators to manage research dollars Target agencies with available funding that have been under-proposed Enhances forecasting capability (research dollars) Ability to view research spenders (collaborators) in other departments Improves tracking of expenditures on received awards Data quality improved Benefits of the Data Mart

? Questions Marti Graham– Vicky Shaffer–