CRM 101- Understanding Data Quality

Is your data worth tracking in CRM?
David Marincic walks you through what data quality really is, and the 6 guidelines for making sure your customer data is high-value.
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[@alexferrercampo7438]

Data quality = integrity + relevance 1) Accurate = correct + precise --> Prevent inconsistencies by design, check 2) Incomplete: missing critical info --> Avoid actions if missing, collect if possible 3) Uniformity --> Simplify UI, standardize data 4) Uniqueness: duplicates? --> Prevent and cross check --> Balance quantity and quality when deleting 5) Timeliness --> Discard if outdated or not actionable 6) Security --> Balance speed and caution for access permissions

[@Rajesh-zx9jr]

Excellent ...thanks

[@nasarazam]

Concise and very helpful.

[@Azamba]

Thank you for the kind words!

[@mamoelilethoba3634]

Thank you for this;

[@Azamba]

Let us know if you have any specific questions - we love to help!

[@BamBeezyBayb]

Thank you

[@ms0738045]

Hi, I'm learning big data and ai on elements of ai, and your information really helps. Thank you for this video

[@Azamba]

Thank you!

[@Salt9696]

I have 3 years of Data Governance experience but I am looking to hone in on a particular discipline, specifically Data Quality. Any suggestions as to what I need to learn/teach myself to get my foot in the door as a Data Quality Analyst?

[@johnlenon5052]

I have a job interview coming up for a role of Data Quality Clerk within a local Police Department. I don't have extensive experience with data quality. Could you recommend any tips?

[@therickestpicklerick]

Find someone to learn from. Perhaps your line manager.