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.
Source: Connext Digital.
