Bad Data Costs Businesses $9.7 Million Annually

Businesses lose, on average, $9.7 million each year due to poor quality data, and workers waste 50% of their time hunting for data, correcting errors and confirming sources for uncertain data. In retail particularly, inaccurate data:

  • Cripples marketing campaigns;
  • Decreases customer satisfaction and trust;
  • Causes an inability to make informed decisions; and
  • Costs the company in missed opportunities.

Learn more about the true costs of bad data, as well as easy ways to cleanse “dirty” databases, in this infographic from Connext Digital.

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Source: Connext Digital.

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