As businesses strive to become more data-driven, the challenge lies not amassing data for
data's sale, but in getting the right data.
According to research from Harvard Business Review, data records are so prone to critical errors that less than three percent of data meets basic quality standards. Accuracy matters, and banking on the wrong data can translate into serious business losses. In 2016 IBM estimated that losses due to poor data quality cost the US economy $3.1 trillion annually
Gary Read, CEO of Import.io, a web data integration solution provider, spoke about how his business gathers data from publicly available websites and puts it into a common format to enable organizations to gain insights that can inform their marketing strategy. What Import.io does is take care of the data so that businesses can focus on the insights.
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