Great RevOps teams understand the importance of data. But turning raw numbers into meaningful insights that resonate with leadership, investors, and frontline teams? That’s an art form too often delayed by complexity, manual data wrangling, and endless formatting tweaks.
Today, we’re pleased to announce Segmented Forecast Scenarios on QFlow.ai.
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Companies of all sizes are adopting QFlow’s blended annual revenue forecasting engine. The positive feedback from customers and prospects has kept the QFlow team motivated. One piece of feedback was loud and clear. Segments are important.
As QFlow.ai has grown over the last twelve months, one area of our focus has been supporting our most security-minded customers’ needs.
Many of these types of enhancements take place behind the scenes. So when they don’t, we celebrate a bit…
We are pleased to announce that QFlow.ai is now Okta-verified and available in the Okta Integration Network.
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With the formation of QFlow.ai, I wanted to share a bit about what QFlow is and does, but also try to answer the question: why build QFlow?
Let’s begin with the problem. Both I and my co-founder have spent years in executive positions (CFO, VP Finance, VP Operations, VP Marketing, etc.) at B2B companies. At each company, between sales, marketing, customer success, and finance, we had a lot of tools generating a lot of data. But our organizations were by and large stuck with outdated tools and skills to analyze that data.
