Case Studies
Global Forecasting: Efficiency, Accuracy, Growth
Overview
Analytics & Modeling - Predictive Analytics Application Infrastructure & Middleware - Data Visualization Functional Applications - Enterprise Resource Planning Systems (ERP) | |
Business Operation Sales & Marketing | |
Software Design & Engineering Services System Integration | |
Operational Impact
Using C9 has improved pipeline visibility and greatly improved the accuracy of forecast reports. Once a day, Yahoo loads all its revenue booked against contract into C9, and then layers pipeline information from Salesforce.com on top of that. “C9 is the place that brings those two together so [we] get that holistic view,” says O’Leary. | |
Early Warnings when Revenue Forecasts Drop: Before C9, an “archaeological dig” was required to figure out why numbers had dropped, according to O’Leary. Using a tree-like function within C9, the sales team now can drill into each region, down to the individual salesperson. Seeing specific attributes of every deal makes it easy to pinpoint the root cause of the revenue dropped from the forecast. | |
Elimination of “Data Gaming” and Improved Sales Coaching: Conversations around forecasted numbers are now focused around the size and shape of the pipeline rather than data accuracy. Thanks to the detailed insights and analysis delivered by C9, salespeople can move beyond the static information in the CRM system. They also more open about the status of deals during coaching conversations with their managers. With better visibility into the early stages of deals, sales managers now see problems in enough time to collaborate with other parts of the organization and request assistance where needed. | |
Quantitative Benefit
13% increase in selling time | |
Global forecast now submitted in hours | |
Saved two hours of productivity a week per rep | |