Partnering for data quality

Author Vlad Rișcuția is joined for this article by co-authors Wayne Yim and Ayyappan Balasubramanian.

Why data quality?

Data quality is a critical aspect of ensuring high quality business decisions. An estimate of the yearly cost of poor data quality is $3.1 trillion per year for the United States alone, equating to approximately 16.5 percent of GDP.¹ For a business such as Microsoft, where data-driven decisions are ingrained within the fabric of the company, ensuring high data quality is paramount. Not only is data used to drive, steer, and…

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Lessons learned in the practice of data science at Microsoft.

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