Business Performance

One Source. Every Answer. Any Level.

Finance teams spend too much time wrangling data across functions and not
enough time driving decisions. Reports are fragmented, KPIs are inconsistent,
and stakeholder needs vary by role and region.

What d4 Enables

d4 centralizes KPI reporting across Finance, Sales, and Procurement — powered by a governed semantic layer and structured One Big Table architecture. From executive dashboards to process-level insights, teams get consistent metrics, drillable views, and automated management commentary — all accessible through self-service dashboards or conversational AI.

Key Capabilities

KPI library mapped to domains such as AP, AR, Sales, GL, Revenue, Procurement
Persona-based reporting packs (CFO, FP&A, Controller, GBS, etc.)
Templates for all your Org level - Management commentary, monthly reporting packs, CFO cockpit, Analyst reports,
Explainability at the most granular level with embedded Drill-through capability
Interlinked reporting views (e.g., Forecast vs. Variance > Ops360 > Cash Impact)
Genie chatbot for natural language-driven KPI queries
Citizen analytics for power users to query the semantic layer
One Big Table architecture for high performance and zero-SQL joins

Deliver consistent, real-time business performance insights—tailored by role, trusted across the enterprise, and flexible enough to go from boardroom to back office.

FAQ

How are the KPIs governed and structured?

All KPIs are mapped to domains and driven by a semantic layer and governed data fabric — ensuring consistency across functions, entities, and reports.

Can different personas get their own view of performance?

Yes. d4 provides curated reporting packs and cockpits based on role—CFOs, Controllers, FP&A, GBS heads—with the ability to drill down or link reports.

How do Genie and Citizen Analytics differ?

Genie provides an AI-assisted chatbot interface to surface KPIs via natural language. Citizen Analytics enables advanced users to run their own queries directly on the semantic model.

By Use Cases

By Industry

By Organization Size