CRM 101- Understanding Data Quality
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- Äas pĆidĂĄn 26. 08. 2019
- 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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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 Discard if outdated or not actionable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
Excellent ...thanks
Concise and very helpful.
Thank you for the kind words!
Hi, I'm learning big data and ai on elements of ai, and your information really helps. Thank you for this video
Thank you!
Thank you for this;
Let us know if you have any specific questions - we love to help!
Thank you
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?
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?
Find someone to learn from. Perhaps your line manager.