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What is a data warehouse. and why would you want one?. Emily Morton-Owens @ bradamant. Data warehouse. Not for users Not operational or transactional Abstract/summary Normalized For analysis and strategy. ETL: Extract, transform, load. Correct granularity Ensure privacy
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What is a data warehouse and why would you want one? Emily Morton-Owens @bradamant
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