How Red Hat started forecasting with confidence

Overview

Red Hat is the world's leading provider of enterprise open-source solutions and an IBM company - 20,000+ employees, $6B+ in global revenue, go-to-market teams spanning sales, marketing, channels, and customer success. Revenue data was scattered. Sellers were drowning in manual logging. Account planning was a box-checking exercise nobody revisited. And forecasting? Two systems, stale data, and managers spending their time chasing updates on side calls instead of planning the next quarter.

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Before Backstory

• CRM data fragmented and sparse - only ~30,000 contacts for 5,000+ sellers
• Sellers manually logging activity across disconnected tools
• MEDDPICC qualification living in presentations and informal notes - inconsistent globally
• Account planning siloed across teams, rarely revisited, rarely connected to revenue
• Forecasting running across two systems with data that was stale by the time it was reviewed

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Activity capture and buyer engagement visibility

Getting a real picture of who's engaged - without burying sellers in admin work

Red Hat had 5,000+ sellers and roughly 30,000 contacts in CRM. The fix was automating what sellers were being asked to do manually. Emails, meetings, calls, chats - all captured automatically, with enterprise-grade controls to exclude sensitive or personal communications. Sellers got time back. Leadership got a real view of buyer engagement.

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AFTER BACKSTORY

• Full buyer engagement captured automatically across all channels
• Sellers freed from manual data entry - more time on actual selling
• New reps onboard with full account context from day one
• CRM data quality high enough to actually build on

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MEDDPICC qualification and deal coaching

Turning a methodology that lived in decks into one that lives in the deal

Backstory embedded MEDDPICC scorecards directly into CRM workflows. Deals got scored. AI surfaced risks - missing economic buyers, gaps in recent engagement - in real time. Managers could coach on live deals instead of reconstructing what went wrong on closed-lost ones.

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AFTER BACKSTORY

• MEDDPICC qualification standardized and enforced globally inside CRM
• AI surfacing deal risks in real time - missing stakeholders, engagement gaps
• Coaching shifted from post-mortem to proactive, in-flight intervention
• 50%+ increase in win rates on deals with 70%+ MEDDPICC completion

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Unified forecasting

Two systems, stale data, and side calls replaced by one view built on real numbers

With activity capture, qualification, and account planning all feeding a single foundation, Red Hat rebuilt forecasting on top of real-time data. 2,000 sellers now submit forecasts in one unified view. Every number has deal-level accountability behind it. And instead of chasing updates, managers spend that time on decisions.

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AFTER BACKSTORY

• 2,000 sellers forecasting in a single pane of glass with real-time data
• Individual seller accountability introduced for the first time
• Manager hours reclaimed by eliminating manual update-gathering
• Forecast built on live deal data, not stale snapshots

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What Red Hat achieved

Red Hat's transformation covers the full stack - data quality, deal qualification, account planning, and forecasting - all unified on a single platform. Win rates up 50%+ on qualified deals. 2,000 sellers in one forecast view. Thousands of manager hours projected to be reclaimed annually.

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