
Understanding Forecast Trends
Obtaining visibility into major trends across all of the details in a sales forecast has never been more important. Management has an urgent need to understand:
- What has changed in the forecast?
- Why did the forecast change occur?
- How can I respond?
Unfortunately, these questions are not easily answered today because existing solutions only provide snapshots of a sales forecast and fail to expose changes at the proper level of detail or in a timely fashion to enable management to drive action.
Right90 Change Analytics
Right90 Change Analytics™ leverages the data from Right90 Sales Forecast Capture™ application and shows how a forecast changes over time. Interactive charts with drill-down/drill-up features and out of the box root-cause analyses enable management and operations to quickly understand what’s changing, what’s driving that change and what should be done about it.
Sales management can easily identify how small or seemingly insignificant changes at the product or region level have the potential to make a big impact on the quarter. Sales management can also gain insight into which reps require coaching in order to improve their forecast performance. This immediate and detailed insight enables management and operations to take the right actions needed to drive revenue and reduce inventory.

| Key Benefits: | |
| For Sales Reps | Improved forecast performance
|
| For Sales Management and Sales Operations | Enforce accountability for changes in the forecast
|
Key Features
Interactive Charting and Drill-down
- Interactive charts with drill-down/drill-up capability enable end users to navigate multi-dimensional forecast data and easily identify changes to a forecast and root cause.
Forecast Evolution Dashboard
- Forecast Trending View shows how forecast changes over time
- Forecast Change Transactions report shows volume of forecast changes occurring in a specific time period—often a leading indicator of significant changes to the sales forecast.
Suggested Change Drivers
- Automatically suggests the top reasons for changes in a sales forecast across multiple dimensions including customers, products, regions, reps,or a custom dimension
- Change Drivers are suggested based on units, price or revenue impact.
Suggested Change Distribution
- Automatically suggests whether changes in a sales forecast are due to a price reduction, change in order size, or a win/loss in terms of new business
- Change Details view shows every update to the forecast and explains why the changes have occurred.
For more information:
Download Change Analytics datasheet
View Web demo
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Right90 Trust Analytics™
Enabling the enterprise to understand and score the quality of its current sales forecast, sales people, customers, channels and regions by pinpointing the historically reliable and unreliable areas of their forecast.
Learn more about trusted sales forecasting and view a full demo. Webinar replay
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