How Dirty Data Silently Destroys Forecast Accuracy (And the RevOps Fix)
Poor data quality costs companies an average ofย $12.9 million annually. Despite massive investments in sales tech and AI, forecast accuracy is still elusive for most B2B organizations. The real culprit is often an overlooked variable: the dirty data sitting in your...
7 Root Causes of Forecast Inaccuracy (And How to Fix Them)
Your sales forecast is more than a number on a slide. It guides hiring plans, budget allocation, and investor confidence. When it is wrong, the entire business feels the impact. Yet for most companies, that number exposes real risk, with the average organization...
Why Are Sales Forecasts So Inaccurate?
It is one of the most common and costly failures in business.ย Over 50%ย of revenue leaders missed their forecast at least twice in the past year, a cycle that erodes investor confidence, demoralizes sales teams, and stalls growth. While most organizations...
