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While building data science models can drive a lot of value for an organization, it is important to create and maintain a robust model monitoring/management system.
It’s important to build sales goals in a robust manner in order to make sure they are reasonable targets.
It’s important to distribute your organization's overall sales goal across salespeople using a data-driven quota model.
Your organization needs a way to get a proactive, real-time, and accurate assessment of how it’s performing against the current month or quarter’s business goals before that time period ends.
If your sales team doesn't have access to a data-based prioritized list of customers or leads to contact, they are operating at a big disadvantage compared to the competition.
If your marketing team doesn't have access to reporting that compares the ROI (return on investment) of each program, they are likely operating at a big disadvantage compared to the competition.