• New Research Reveals the Far-Reaching Effects and Unintended Consequences of Inaccurate Forecasting Caused by Poor Data Quality
“Heads of sales operations are under constant pressure to produce accurate forecasts to help shape decision making,” said Craig Riley, senior principle analyst in Gartner’s Sales Practice. “Unfortunately, sales forecasting isn’t getting easier as expanding product portfolios and shifting market conditions exacerbate the issue.”
“While a wealth of sales data and new analytics solutions promise to help, finding the signal in all the noise is often difficult and time-consuming. Combine this with the fact that customers simply don’t follow a linear progression of steps to arrive at a buying decision. Sales Ops leaders are looking for new ways to manage their pipelines more effectively.”
Inaccuracies in sales forecasts can have far-reaching effects and multiple unintended consequences, including:
- Impact on short-term spending decisions. Sales leaders may implement unnecessary incentives or incorrectly ramp enablement programs up or down based on perceived needs.
- Impact on decisions regarding key deals. Leaders may be more willing to approve a discount they would normally reject if they believe they need that revenue to reach their targets for the quarter.
- Impact on the external guidance provided by investor relations. For public companies, an inaccurate forecast may lead to a correction in a company’s guidance to investors, which will likely affect stock price and analyst confidence.
One of the main contributors of inaccurate forecasts is poor data quality. In fact, only 47% of respondents believe their organizations had high-quality data. Meanwhile, 13% report their organizations’ overall data quality is, in fact, poor.
Three common factors resulting in low data quality include:
- CRM adoption and discipline: The organizations that succeed in identifying high-quality data are those that create a culture of process compliance and demonstrate to sellers how CRM data helps them succeed.
- Data governance: Many organizations don’t have a definition of data quality standards that derive from their CRM vision. Sales leaders should ask questions such as, “Why do we have a CRM system?” and “What standards must users follow to attain those goals?”
- Data quality inspection: Many organizations are not measuring data quality and are not building that data into their recurring conversations between managers and sellers.
About the Gartner CSO & Sales Leaders Conference
Sales leaders face unprecedented changes in customer expectations, technology and the talent needed to drive results. At the Gartner CSO & Sales Leaders Conference, taking place October 6-8, 2020 in Las Vegas, sales leaders will learn from the latest research and Gartner experts covering sales talent, customer buying behavior, sales enablement and sales operations.