BigDataFr recommends: Only 3% of Companies’ Data Meets Basic Quality Standards

[…] Most managers know, anecdotally at least, that poor quality data is troublesome. Bad data wastes time, increases costs, weakens decision making, angers customers, and makes it more difficult to execute any sort of data strategy. Indeed, data has a credibility problem.

Still, few managers have hard evidence or any real appreciation for the impact of bad data on their teams and departments. They are thus unable to give data quality its due. To address this issue, in our teaching in executive programs in Ireland, we ask participants — executives that come from a wide range of companies and government agencies, and departments such as customer service, product development, and human resources — to develop such evidence using the Friday Afternoon Measurement (FAM) method. […]

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By Tadhg NagleThomas C. Redman & David Sammon
Source: hbr.org