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CRM 101- Understanding Data Quality 

Azamba
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11 сен 2024

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Комментарии : 12   
@alexferrercampo7438
@alexferrercampo7438 Год назад
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 Discard if outdated or not actionable 6) Security --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
@nasarazam
@nasarazam 3 года назад
Concise and very helpful.
@Azamba
@Azamba 3 года назад
Thank you for the kind words!
@ms0738045
@ms0738045 4 года назад
Hi, I'm learning big data and ai on elements of ai, and your information really helps. Thank you for this video
@Azamba
@Azamba 3 года назад
Thank you!
@Rajesh-zx9jr
@Rajesh-zx9jr Год назад
Excellent ...thanks
@mamoelilethoba3634
@mamoelilethoba3634 4 года назад
Thank you for this;
@Azamba
@Azamba 3 года назад
Let us know if you have any specific questions - we love to help!
@BamBeezyBayb
@BamBeezyBayb Год назад
Thank you
@Salt9696
@Salt9696 Год назад
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
@johnlenon5052 4 года назад
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
@therickestpicklerick 4 года назад
Find someone to learn from. Perhaps your line manager.