According to the researches of Gartner, the poor quality of data makes companies bear huge losses of millions of dollars. It also affects the level of the decisions being taken. In addition, projects with source data of poor quality make companies hire expensive DataScience specialists for data cleaning. As a result, this affects both the deadlines and the financing level of BigData projects.

The ways to solve this problem and arrange the work with source data by using the quality management model are discussed in the article by Artem Merkulov, Co-Director of Neoflex Reporting Business Direction published in IT Manager magazine.

Full version of the article
A source: IT Manager

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