• Only 12% of companies rely on intelligence from quality data, according to Forrester.
• This could cost companies an estimated $8.2 million a year, according to Gartner!
• Would you rather spend $100 on correcting bad data or $1 on verifying the record before getting it entered?
• This could cost companies an estimated $8.2 million a year, according to Gartner!
• Would you rather spend $100 on correcting bad data or $1 on verifying the record before getting it entered?
Data quality is subjective!
It need not necessarily be about the number of incorrect fields, the percentage of addresses that are incorrect, a score on accuracy or number of null entries in the database.
It is about the level of fitness it possesses in context with the end use for which it was created. Data quality is about correctness, accuracy, completeness, currency and credibility.
Data Quality Cheat Sheet from InfoCheckPoint
Let quality data provide you with competitive edge, make it your most valuable corporate asset! Access this quick Data Quality Cheat Sheet!
Let quality data provide you with competitive edge, make it your most valuable corporate asset! Access this quick Data Quality Cheat Sheet!
Spend Marketing Dollars on Data that Counts!
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