Why is Data Quality Important with Tom Redman

Data-Driven Podcast

Listen to this podcast with “the Data Doc” to learn more about Data Quality and how to optimize analytics organizations to take advantage of data with the right people, process and technology. You’ll hear examples of pitfalls to avoid and tips to make the most of your data with a semantic layer.

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Companies are loaded with data quality problems, and by and large, everybody knows garbage in, garbage out, but they’re not attacking those problems correctly. The mistake too many organizations make is they start with the tools and they don’t have the organizational structure in place.

Whenever I hear data quality and talk to people about data quality, I advise people and companies to think about this. We serve two roles every day. One is we’re a data creator. We are creating stuff that is used by other people. Two, we are a data customer, meaning we are using stuff created by others.”

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