Customer data quality: don't let inaccurate data stop you from acting
Customer data quality is never perfect. How to judge whether data is good enough for the decision at hand, triage the flaws, and act without fooling yourself.
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5 posts. All topics.
Customer data quality is never perfect. How to judge whether data is good enough for the decision at hand, triage the flaws, and act without fooling yourself.
Customer analysis is a question-asking job, not a query. Why it belongs with whoever owns the decision, what IT should own instead, and how to split the work.
Collecting customer email addresses fails for human reasons, not technical ones. What the frontline needs, what the customer gets, and how to measure capture.
Customer data sharing and trust come down to whether customers can predict what happens next. Where the helpful-or-creepy line sits, and five rules to hold it.
Indirect customers buy through marketplaces, resellers and franchisees that hold the checkout and the complaint. Four ways to listen, and a partner checklist.