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 Colleague Advance Excel Report Recruitment Plus SPSS OneCard Spreadsheets Survey Data Data Warehouse 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 Administrative Computing Advisory Committee DW Data Management Group? 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!