I am preparing a demo. I was asked about such a things to consider:
| Question: | CDP functionality: |
| The CDP analyzes data quality and flags missing, incorrect, and non-standard data. | Data is checked on a Schema level. If its not in a required structure then the record is |
| Missing data is identified, and the system can complete it using external sources or predefined rules. | No functionality. If it comes from the web then it should be partially validated on the front-end |
| The CDP detects invalid email addresses, incorrectly formatted phone numbers, and conflicting customer records. | No functionality. Maybe Fuzzy Match using Data Distiller? |
| After the cleansing process is completed, a report is generated to demonstrate the improvement in data quality. | No functionality. |
How would you tackle such a questions?
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@Michael_Soprano Thanks for sharing. I think, you can use your demo to clarify what AEP/RTCDP does and does not do out-of-the-box for data quality and cleansing. Can share any workaround and may choose compare limitations with other CDP providers.
@Michael_Soprano Just checking in — were you able to resolve your issue?
We’d love to hear how things worked out. If the suggestions above helped, marking a response as correct can guide others with similar questions. And if you found another solution, feel free to share it — your insights could really benefit the community. Thanks again for being part of the conversation!
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