Power BI
Microsoft's self-service business intelligence suite that connects to hundreds of data sources and allows users to build interactive reports and dashboards within the Microsoft ecosystem.
How RevOps teams use it
RevOps teams embedded in Microsoft-heavy enterprises use Power BI to build revenue dashboards that pull from Dynamics CRM, Excel, Azure SQL, and SharePoint without requiring a separate BI platform.
Example use case
e.g., A RevOps team uses Power BI to embed a live pipeline dashboard in Teams, allowing sales managers to drill from total pipeline down to individual deals without leaving their daily workflow.
Where it's used
Technical Disciplines
BI Engineer
Builds the dashboards, reports, and data models that give revenue leaders a clear, real-time view of pipeline health, performance, and trends.
Revenue Accounting Operations
Bridges RevOps and Finance by operationalising revenue recognition rules in billing systems — managing deferred revenue tracking, ASC 606 / IFRS 15 compliance, and ERP integration so financial reporting is accurate and audit-ready.
Industry Verticals
Manufacturing
Unit sales and volume contracts with long procurement cycles. RevOps bridges ERP (operations) and CRM (sales) through CPQ and contract management.
Professional Services & Consulting
Consulting and professional services firms generate revenue through billable hours, project milestones, and retainer agreements — requiring RevOps to instrument utilisation rates, SOW pipelines, and resource capacity constraints that directly cap top-line growth.
CleanTech & Energy
Clean technology and energy companies blend hardware sales, EPC project revenue, and recurring SaaS monitoring fees — requiring RevOps to manage hybrid revenue recognition, government incentive program tracking, and utility-scale deal structures simultaneously.
HRTech & Staffing
HR technology and staffing companies operate on placement fees, contractor spread models, and SaaS subscription revenue — requiring RevOps to track time-to-fill as pipeline velocity, bill rate vs. pay rate margin as deal quality, and recruiter quota structures fundamentally different from SaaS ARR models.