What is a data warehouseand why would you want one?

Emily Morton-Owens@bradamant

Data warehouseNot for usersNot operational or transactionalAbstract/summaryNormalizedFor analysis and strategy

ETL: Extract, transform, loadCorrect granularityEnsure privacyEnforce consistencyExamples:

◦Holds data store◦Checkout summary◦Chat logs

Operations data e.g.

ILS

ETL MAGIC

Data warehou

se

Bridge silosILS + 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?

ChallengesData problems that are unrelatedMetrics that no one cares aboutForce people to agree on

methods

WinsSave timeLet people do their own reportingMore accurateShared strategy