Data Quality in the Age of AI
Building a foundation for AI strategy and data culture
1st Edition
Published on 13. January 2025
50 pages
978-1-83508-856-2 (ISBN)
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Book
08/2024
Packt Publishing
€84.80
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Person
Jones Andrew :
Andrew Jones is a Principal Engineer, author, and a Google Developer Expert. He has over 15 years' experience in the industry, with the first half primarily as a software engineer before moving into the data platform and data engineering space. He thinks a lot about how to build platforms - particularly data platforms - that drive the creation of business value. His work on building performant, efficient, and well governed data platforms that facilitate the production and consumption of quality data led him to coining and defining data contracts, and in 2023 he authored the seminal book on the topic, Driving Data Quality with Data Contracts. Andrew is a regular speaker and writer, and passionate about helping organizations get the most value from data.
Andrew Jones is a Principal Engineer, author, and a Google Developer Expert. He has over 15 years' experience in the industry, with the first half primarily as a software engineer before moving into the data platform and data engineering space. He thinks a lot about how to build platforms - particularly data platforms - that drive the creation of business value. His work on building performant, efficient, and well governed data platforms that facilitate the production and consumption of quality data led him to coining and defining data contracts, and in 2023 he authored the seminal book on the topic, Driving Data Quality with Data Contracts. Andrew is a regular speaker and writer, and passionate about helping organizations get the most value from data.
Content
- Cover
- Executive summary
- Contents
- Understanding data quality
- Defining data quality
- Assessing data quality
- Unlocking AI's potential with data
- High cost of poor data quality
- Measuring the quality of your data
- Improving data quality at the source
- Incentivizing data producers
- Decentralizing your data: Quality by design
- Case studies: Positive impact of data quality
- DoorDash
- Checkout.com
- Cultivating a data culture that values quality
- Adopting a product mindset
- Prioritizing quality over quantity
- Assigning roles and responsibilities
- Embedding data governance
- Conclusion: Embracing a quality-driven data culture
- About the author
- About the technical reviewers
- Additional reading
- Bibliography
- Other Books You May Enjoy
