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…



Lessons learned in the practice of data science at Microsoft.

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