Data wharehouse project

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The document summarizes a data warehouse project that aims to provide a centralized access point for authorized data resources. It will integrate previously disparate and inaccessible data stores to facilitate business intelligence and empower users. The data warehouse will contain student, financial, personnel, alumni and directory information. It will offer query, reporting and analysis tools and inherit access rights from source systems. An evolutionary and iterative approach is being taken to build out the data warehouse in phases, starting with proof of concept and moving towards general availability for users.

The Data Warehouse Project

Administrative Computing & Information Services.

The Data Warehouse Vision
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.

Purposes
♦ Query
♦ Reporting
♦ Analysis
♦ Data Extraction

Approach
♦ Evolutionary
♦ Controlled
♦ Opportunistic
♦ Iterative

Targeted Data
♦ Student
♦ Financial
♦ Personnel
♦ Alumni
♦ Directory

Features and Functions
♦ “Certified” reports/queries
♦ Contributed reports/queries
♦ Ad hoc query
♦ Data extraction
♦ Optimized for query performance
♦ Inherited access rights from source systems
♦ Regular refresh from source systems

Accessing the Data Warehouse
ACIS will provide user support for specified
tools. The currently supported tool is
Oracle Discoverer:
• Desktop & web clients
• Canned reports
• Ad hoc query
• Data extraction
• Retained and shared queries
• Security layers
• Data dictionary

Project Timeline
Phase I – Proof of Concept (Complete)
♦ Establish Technical Infrastructure
♦ Prototype Data Extraction/Transformation/Load
♦ Prototype Financial Analysis & Reporting
Phase 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 LDAP”
Phase III – General Availability

Next Steps
♦ Evaluate Discoverer’s web client
♦ Convene pilot user group
♦ Develop user administration procedures
♦ Perform security and data audits
♦ Develop Salary Inquiry & BDI extract
♦ Launch targeted marketing and training
efforts

Technical Specification
♦ Database: Oracle Version 9i
♦ Hardware: Sun Enterprise Server 4500
8 CPU
8 GB RAM
♦ Operating
System: Solaris 2.8

The Project Team
Project Sponsors Len Brush
Martha Baron
Mary Ann Blair

Project Director Joyce Moore

Database Admin Massimo Bigliardo
Thang Vu

Biblography
♦ Information-management.com
♦ Dwreview.com

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Data wharehouse project

1. The Data Warehouse Project Administrative Computing & Information Services.

2. The Data Warehouse Vision 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.

3. Purposes ♦ Query ♦ Reporting ♦ Analysis ♦ Data Extraction

4. Approach ♦ Evolutionary ♦ Controlled ♦ Opportunistic ♦ Iterative

5. Targeted Data ♦ Student ♦ Financial ♦ Personnel ♦ Alumni ♦ Directory

6. Features and Functions ♦ “Certified” reports/queries ♦ Contributed reports/queries ♦ Ad hoc query ♦ Data extraction ♦ Optimized for query performance ♦ Inherited access rights from source systems ♦ Regular refresh from source systems

7. Accessing the Data Warehouse ACIS will provide user support for specified tools. The currently supported tool is Oracle Discoverer: • Desktop & web clients • Canned reports • Ad hoc query • Data extraction • Retained and shared queries • Security layers • Data dictionary

8. Project Timeline Phase I – Proof of Concept (Complete) ♦ Establish Technical Infrastructure ♦ Prototype Data Extraction/Transformation/Load ♦ Prototype Financial Analysis & Reporting Phase 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 LDAP” Phase III – General Availability

9. Next Steps ♦ Evaluate Discoverer’s web client ♦ Convene pilot user group ♦ Develop user administration procedures ♦ Perform security and data audits ♦ Develop Salary Inquiry & BDI extract ♦ Launch targeted marketing and training efforts

10. Technical Specification ♦ Database: Oracle Version 9i ♦ Hardware: Sun Enterprise Server 4500 8 CPU 8 GB RAM ♦ Operating System: Solaris 2.8

11. The Project Team Project Sponsors Len Brush Martha Baron Mary Ann Blair Project Director Joyce Moore Database Admin Massimo Bigliardo Thang Vu

12. The Project Team

13. Biblography ♦ Information-management.com ♦ Dwreview.com

Editor's Notes

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.

Data wharehouse project

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