Impact of Poor Data
If the underlying data is wrong, you’ll just be making mistakes faster, more consistently, and more effectively.
With regard to data quality, consider the following:
Poor data quality drains an average of $8.2 million in squandered resources, operational inefficiencies, missed sales, and unrealized new opportunities (Gartner).
It costs approximately $100 to correct one record, whereas it costs only approximately $1 per record to prevent a data issue (D&B Customer Study).
96% of email addresses and contact data within customer ...
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