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SugarClub will be undergoing scheduled maintenance and will be inaccessible beginning on Friday, 10 April 2026 (15:00 UTC | 11am EDT | 1am AEST on 11 April). |
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SugarClub will be undergoing scheduled maintenance and will be inaccessible beginning on Friday, 10 April 2026 (15:00 UTC | 11am EDT | 1am AEST on 11 April). |
Show Notes:
Poor-quality Sugar data poses significant risks to marketing campaigns and sales initiatives by causing duplicated entries, missing data, inaccurate information, and/or outdated information that reduces engagement with prospects and customers. Without effective cleansing, these challenges escalate, hindering personalization in campaigns and perpetuating issues throughout the customer lifecycle. In this episode, we review four best practices you can implement now to prevent or correct “bad” data.
Gartner research: How to Create a Business Case for Data Quality Improvements
Econsultancy: Cost of Bad Data Stats
Harvard Business Review: Bad Data Cost the US $3 Trillion Per Year
