Carleton’s
Data
Warehouse
Shedding light on our information
What is a data warehouse?
A data warehouse is a system that
• Gathers data from many systems
• Combines it into one database
• Conforms it to common standards
• Restructures it for easy
– Exploration
– Reporting
– Data mining
Colleague
Advance
Recruitment
Plus
OneCard
Spreadsheets
Survey Data
Flow of Data
Data
Warehouse
Excel Report
SPSS
Cognos BI
Access
Example
Project 1 Components
Data warehousing implementation projects break down into a set of basic components that are common across nearly all deployments in all institutions
Components
Major project components:
• Project kickoff and planning
• Initial business requirements analysis
• Decide on first project
• Purchase and installation of back-end technologies
• Development of ongoing data catalog, data policy
• Modeling of initial data marts
• Development of initial ETL processes
• Development of initial reports
• Delivery of initial data marts, reports, documentation
• Training
In Practice…
Data Warehouse Service
– Project 1, includes DW infrastructure
– Project 2
– Project 3
– Enhancements to Project 1
– Project 4
Sample Data Catalog
Fields: data name, category, source, source table, source column, DW table, DW column, description, data stewards, access restrictions, update frequency, Meaning/Usage, data type, data range.
Sample Data Access
Policy
Staffing and Resources
Richard & Julie, ITS
DW Data Management
Group?
Administrative Computing
Advisory
Committee
TPPC
Existing User Groups
Next Steps
• We will schedule interviews with you over the next few weeks
• We will send you sample interview questions ahead of time
• We might also ask you for sample reports
• We will take the information you give us, combine it with information from other offices, and form a master ‘Needs
Analysis’ document.
Questions?
Ha! Now they’ll have to add a
“planet” field to the data catalog!