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

Flow of Data Advance Recruitment Plus OneCard Spreadsheets Excel Report SPSS Cognos BI Access Data Warehouse Colleague Survey Data

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!