Forecasting : A waste of time ?
How many hours a week does your company waste collating and re-formatting data before any analysis of a forecast can be undertaken?
As an example, take a company with 12 sales people, 2 sales managers and a sales director. Each sales person spends 4 hours generating their forecast, which they send to their manager, the Managers spend 2 hours each merging the forecasts.
That is 52 hours per week non-productive activity. More than a man-week lost time; each week!
SalesStorm reduces the time taken to generate and distribute the forecast to less than a minute per person. A massive time saving, which can be used to increase sales.
To gain real value from a forecast, a company needs to be able to analyse not just the financial data, but also where in the sales cycle each Prospect is, which products are involved, plus the ability to assess the validity of each person's pipeline.
SalesStorm enables fast graphical analysis to be undertaken, with the key advantage of being able to dynamically change the basis of the analysis. It takes approximately 10 seconds to generate ANY report and see the results. e.g. Filter all Prospects to find those that are in the consumer industry that resulted from a specific marketing campaign, view which products are of interest, when the deals are forecast to close, etc.