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How to get proactive about data quality / Kinda El Maarry, Thomas C. Redman.
- Format:
- Book
- Author/Creator:
- El Maarry, Kinda, author.
- Redman, Thomas C., author.
- Series:
- MITSloan management review ; reprint 66425.
- MITSloan management review ; reprint 66425
- Language:
- English
- Subjects (All):
- Business--Data processing.
- Business.
- Electronic data processing--Quality control.
- Electronic data processing.
- Data protection.
- Physical Description:
- 1 online resource (7 pages)
- Edition:
- [First edition].
- Place of Publication:
- [Place of publication not identified] : MIT Sloan Management Review, 2025.
- Summary:
- Poor data quality undermines good decision-making and dooms many AI initiatives. However, many organizations are operating in unmanaged data mode or organized cleanup mode, with low-quality data. Companies that make the move to proactive prevention mode, in which data errors are prevented at the source, benefit from better business decisions and more trustworthy analytics. Learn how to help your organization make the leap, as executives at meal-kit company HelloFresh did.
- Notes:
- OCLC-licensed vendor bibliographic record.
- OCLC:
- 1545514755
- Publisher Number:
- 53863MIT66425
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