Where should a company start when correcting poor-quality data?

Start with a specific important decision or process. Map the data it requires, their origin, their owner and the places where errors arise.

Can IT centrally own responsibility for the quality of company data?

IT can provide technology and control mechanisms, but business functions must own the meaning and correctness of the data they create through their work.

Bad data are not an IT department problem. The error often begins in the process that creates the information

9 hours ago.

Most leaders approached at an INSEAD forum refused to bet their own bonus on the completeness and accuracy of company data. Yet the problem often does not originate in the database but in the everyday work of the people who create the information. If they do not see the consequences of a late or incorrect entry, the company simply absorbs the costs of poor-quality data. AI will not solve this problem; instead, it increases the importance of clear business ownership of data.

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