Maintaining the accuracy of a company’s databases represents a serious challenge and requires ongoing investments of both money and resources. The cost of doing nothing to improve the quality of data could be even greater. Poor data costs businesses a great deal through losses related to finances, reputation, opportunities, and a riskier decision-making process.
Corporate leaders continue to consider data and analytics a critical investment for their business development, but often raise concerns about the integrity of the data they’re using. Many companies are not making the connection between loss of revenue and bad data.
This paper focuses on the value of clean data and what it means for business development and the potential for increased profits when clean data is enhanced with intent data and fit.