<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>(En)COUNTERing SUSHI: How Fishy Are Our Stats</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">Walter</mods:namePart><mods:namePart type="family">Komorowski</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>In this presentation, I look at the way in COUNTER Statistics help us understand our collections better, and how they may be deficient. I will discuss how to set up SUSHI retrieval in Alma and how to create more meaningful COUNTER reports in Analytics. I will talk about the difficulty of applying some of the statistics we collect to evaluating our collections.  I am interested in feedback from the audience in terms of their own experiences. I will also offer suggestions as to how we can use stats from our OpenURL logs to guide our interpretations.</mods:abstract><mods:originInfo><mods:dateIssued encoding="iso8601">2019-05-01</mods:dateIssued></mods:originInfo><mods:genre>Conference or Workshop Item</mods:genre></mods:mods>