If data becomes the new black gold of companies, then ensuring the quality of the refining process becomes a critical issue.
Hence the appearance of a new need for companies, which are increasingly basing their strategic decisions on the analysis of enormous volumes of data: that of being able to guarantee their accuracy and their correct routing in all business circuits.
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Wrong format (for an e-mail address, for example), lack of updates, computer bug or bottlenecks in the computer network... There are many reasons for having poor quality output data.
And that ends up costing companies dearly.
The Gartner firm estimates the financial impact at $12.9 million per year for companies.
Sometimes much more.
Last year, video game giant Unity estimated the impact of bad data fed into its machine learning algorithm that helps it…
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