Sales Analytics Software & Platform
Sales teams set the pace for a company’s growth. As a Revenue Ops leader, your job is to ensure it stays that way—forecasting with confidence, predicting pipeline performance, and scoping high-growth territories. See around the corner and make decisions you won’t second guess.
What
Sigma
can do for
Revenue and Sales Operations
Pipeline Forecasting
Your forecasts steer the ship.
Answer questions in minutes—not meetings.
Territory Planning
See around the corner and make smoke reports a thing of the past. Scope and assign territories specific to your Ideal Customer Profile—all based on live data you can adjust on the fly.
Capacity Modeling
You can’t hire on the wrong numbers.
Make decisions you won’t second guess.
Reduce Time to Answer
Conversion rates on Stage 3 opportunities?
Deal pipeline changes day-by-day?
Answer with live data in real time.
Tired of watching your sales reps and leaders present forecasts in different formats with days-old data?
Present them with a one-stop shop for Sales Forecasting - built on live data with the ability to add context. No more custom Salesforce reports. Make every forecast count.
Parallel Models With
Live Data
So it's planning season and the top-line goal is to double the company. The question you have to answer is: How? How many reps can we hire? How quickly can we hire them? Where do we put them? With Sigma, build as many bottoms-up capacity scenarios as you need with live data. Be the hero with all the answers.
Data You Can Actually Rely On
Your job is to see it coming.
As a RevOps leader you know the story: a rep is struggling but why? Is it their patch, their enablement, their activity? With Sigma, use leading indicators to predict and examine every data insight back to its source.
Additional Resources
We are Sigma.
Sigma is a cloud-native analytics platform that uses a familiar spreadsheet interface to give business users instant access to explore and get insights from their cloud data warehouse. It requires no code or special training to explore billions of rows, augment with new data, or perform “what if” analysis on all data in real-time.
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