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https://hbr.org/2016/07/assess-whether-you-have-a-data-quality-problem, Then answer the following questions.

1. Provide short descriptions of the "Friday Afternoon Measurement (FAM)" process and the "Rule of 10." Then summarize what the author confirms organizations should do to improve their data quality.

2. The author affirms data that is 67% accurate is "on the high end of typical." This implies you will probably encounter worse data quality on your job. How do you react to this?

3. Do you agree with the author's assertion that improving data quality requires little or no capital investment? Why or why not?

Reference List

Redman, T. (2016). Assess whether you have a data quality problem. Retrieved from

     https://hbr.org/2016/07/assess-whether-you-have-a-data-quality-problem (Links to an external site.).