Deliver trusted data faster than the speed of business
summary
Claims that poor data quality costs firms $12.9M a year and that the fix is not more hand coding but putting data lineage and metadata-driven controls in place. Describes using Talend to inventory sources, capture who changed what and when, and push quality checks into production faster than “next day” ad hoc scripts. Argues regulators request verifiable metrics and audit trails rather than models, that lineage plus quality enable self-service and reduce rework, and that these steps materially cut risk and cost.
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chapters (11)
- 0:00Introduction
- 0:15About Talent
- 1:47About todays topic
- 3:00Introducing Meena Ram
- 3:49Empower the business with their data
- 7:21Data quality
- 10:00Critical decisions
- 13:56Data quality and data lineage
- 15:34Data quality and material impacts
- 17:35Regulatory reporting
- 20:32Value of trusted data
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