Assume you’re a sales manager for a mid-sized enterprise. You’ve just received a call from your chief revenue officer who wants to know how much revenue you expect your team to produce between now and the end of the year. You pull up your spreadsheet and start reviewing the numbers, but the forecast just doesn’t look right. Sales have been consistent, but there are so many variables at play and it’s hard to predict what the future holds. Market conditions are volatile, sales cycles are getting longer, and your team is experiencing turnover. To make matters worse, the data you’re working with is incomplete and outdated.

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