Presentation on theme: "What is a data warehouse and why would you want one? Emily"— Presentation transcript:
What is a data warehouse and why would you want one? Emily
Data warehouse Not for users Not operational or transactional Abstract/summary Normalized For analysis and strategy
ETL: Extract, transform, load Correct granularity Ensure privacy Enforce consistency Examples: ◦ Holds data store ◦ Checkout summary ◦ Chat logs Operations data e.g. ILS ETL MAGIC Data warehouse
Bridge silos ILS + demographics ◦ How much do Millennials use the library in comparison to their population in Seattle? EZproxy + academic department + publications ◦ How much do faculty access articles through the library by department? How does that correspond to the department’s publishing output? Events+ e-materials ◦ Do people who check out e-materials come to events as much as people who check out print materials?
Challenges Data problems that are unrelated Metrics that no one cares about Force people to agree on methods
Wins Save time Let people do their own reporting More accurate Shared strategy