Reltio Connect

I am trying to establish a Data Quality as a Service practice at my company.  Has anyone done this before?  I am looking for advice.  I have found articles on the topic but am looking for something more practical as well as any tips.  Any help is much appreciated!

Thank you,

Erin Byrne

Manager, MDM and Data Stewardship

I like this one a lot @Erin Byrne. I'm adding this to get more exposure to the group. I hope to see some responses from folks!

Hey Erin, 

This definitely sounds like a very challenging project to start. Not sure what level of data maturity and governance your organization has but I would start with securing true data basics and not to ignore obvious elements analysis (e.g. zip code, country code & their proper mapping across systems for Customers / Vendors etc.). 

I would say the mapping of data, its criticality and R&R would be the key. So very high level this would be my plan to even start planning this approach: 

1. Define the entities that need to be overseen: List their basic data & criticality of the data
2. Define Governance: data owners & approvers on any cleansing activity
3. Set rules of cleansing & alerts for quality issues with the data governance team/ data owners. Check where the data rules are fully automatic vs. need human intervention.
4. Define who is providing the quality analysis & performing cleansing. (outsourced vs. internal team main responsibilities)
5. Define downstream dependencies & communication map in case of cleansing activities or regular data reviews
6. Set frequency of reviews
7. * Quite obvious but: set success criteria / benefit tracking for every entity subject to data quality checks.

Hope this was somehow helpful, if not looking forward to more contributions form the community members. 

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Maria Glosnicka
GEHC
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