Poor data cripples revenue and business growth. And when it seeps into the CRM system the sales team relies on,
sales forecasts are off, quotas aren’t met, multiple departments place the blame on each other, and nobody wins…
certainly not the organization.
When poor CRM data impedes sales, leaders may exhaust internal and external resources trying to figure out what’s
wrong and how to make it right. The process is often extensive and costly, disrupts workflows and productivity, and
creates even more revenue loss and cost containment issues.
What has been missing in the equation is not only a simple and effective way to assess the quality of the data sales
teams rely on, but also a clear picture of the impact poor customer data quality has on sales from a financial and
functional perspective.
In this report, we’ll discuss the types of data errors that have the most impact on sales and why, and the quickest way
to identify and resolve the issues that rob sales departments of approximately 550 hours and as much as $32,000 per
sales rep each year.