Dylan Jones (@dataqualitypro) shares an example of why data quality should be a business-as-usual practice.
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.@philsimon on the need to present the data with the appropriate context.
Jim Harris (@ocdqblog) explains the IKEA Effect and how it relates to change management.
.@davidloshin continues his blog series on customer connections.
.@philsimon on data, coffee and analytics.
Jim Harris (@ocdqblog) asks, Are your business decisions affected by the Decision Wobegon Effect?
.@davidloshin on modeling the types of customer connections.
Dylan Jones (@dataqualitypro) explains how good-quality product information can impact sales.
When it comes to data collection, is it better to ask forgiveness or get permission? @philsimon weighs in.
What's the best strategy to make change happen when it comes to data quality? Jim Harris (@ocdqblog) presents his theory.