The Data Warehouse ProjectAdministrative Computing & Information ServicesCarnegie Mellon University

The Data Warehouse VisionCarnegie Mellons Data Warehouse will empower staff, faculty, and students by providing a secure, well-organized, easily interfaced, and universal point of access to authorized data resources. The Data Warehouse will facilitate business intelligence by integrating previously disparate, inaccessible, and unorganized data stores, leveraging a variety of reporting and analysis tools, and promoting sharing among users.

PurposesQueryReportingAnalysisData Extraction

ApproachEvolutionaryControlled OpportunisticIterative

Targeted DataStudentFinancialPersonnelAlumniDirectory

Features and FunctionsCertified reports/queriesContributed reports/queriesAd hoc queryData extractionOptimized for query performanceInherited access rights from source systemsRegular refresh from source systems

Accessing the Data WarehouseACIS will provide user support for specified tools. The currently supported tool is Oracle Discoverer:Desktop & web clientsCanned reportsAd hoc queryData extractionRetained and shared queriesSecurity layersData dictionary

Project TimelinePhase I Proof of Concept (Complete)Establish Technical InfrastructurePrototype Data Extraction/Transformation/Load Prototype Financial Analysis & ReportingPhase II Controlled Release (In Process)Current Financial Data (Oracle Apps) Legacy Financial Data (FRIS & PEP History)Salary Inquiry and BDI Extract (DRIVE)Student Data (QSIS )Virtual LDAPPhase III General Availability

Next StepsEvaluate Discoverers web clientConvene pilot user groupDevelop user administration proceduresPerform security and data auditsDevelop Salary Inquiry & BDI extractLaunch targeted marketing and training efforts

Technical SpecificationDatabase:Oracle Version 9iHardware: Sun Enterprise Server 45008 CPU8 GB RAMOperatingSystem:Solaris 2.8

The Project TeamProject SponsorsLen BrushMartha BaronMary Ann Blair

Project DirectorJoyce Moore

Database AdminMassimo BigliardoThang Vu

The Project TeamFinancials Functional TeamAlison Campbell Liz CookeBeth Meiser Steven SeligLinda SchmidtDeanne Weaver

Tech TeamBob GabertKrishna KumarJoyce MooreBob RittigerThang Vu

The Project TeamDRIVE Functional TeamLinda Schmidt

Tech TeamDave BurzeseBob GabertJoyce Moore

The Project TeamAdditional ResourcesCFOs OfficeBeth Meiser

Planning OfficeStacey LopezLinda SchmidtHR/TrainingLen Stellitano

End

The Data Warehouse is not primarily intended nor supported as a real-time data source for external applications.

Examples of directory data: personalization, groups, roles.