Your Finance data and your HR data have never agreed. Until now.

Your Finance data and your HR data have never agreed. Until now.

No analytics platform connects Finance, HR, Sales, and Operations with a single pre-built data model. SplashBI does. Every metric uses the same definition across every domain. Cross-functional questions that used to take three weeks resolve in a single view - SplashAI puts that view one question away for any leader.

Trusted across domains

The questions nobody can answer today

Your most important questions all cross the same boundary

What is the financial impact of voluntary turnover in our highest-cost business units?

Finance data, HR data, and Operations data. Three systems. Three exports. One question that takes three weeks.

Shared definitions, pre-built joins, governance across every domain

SplashBI's data model is pre-built for Finance, HR, Sales, and Operations. "Employee," "cost center," "period," and "legal entity" mean the same thing in every domain. When Finance and HR pull the same metric, they get the same number - because it comes from the same model.

For the CDAO and CIO: joins between Oracle Fusion Financials and Workday or UKG employee records are pre-built. RBAC, PII masking, SOC 1 and 2, ISO 27001, and full auditability are applied at the semantic layer - so Finance and HR data carry their own access rules even when they appear side by side in a cross-domain view. No custom engineering to maintain separation of privilege.

Cross-domain scenarios

Four questions. One view each

Labor cost and turnover, in one view.

Finance (labor cost by unit), HR (turnover rate, time-to-fill, recruitment cost), and Operations (productivity impact of vacancies). Today that is a three-week project across three analysts and two exports that won't agree on headcount. SplashBI surfaces it in one view, turnover rate by business unit, replacement cost, productivity impact, and net labor cost variance before the meeting ends.

Shift coverage tied to production variance.

HR data (staffing levels, absenteeism, vacancy rates) and Operations data (production schedules, throughput, output targets) have never sat in the same model. SplashBI gives you one answer at the plant level, showing which facilities are running lean, which are at risk, and where to act before variance reaches the P&L.

Where to add headcount for revenue growth.

Finance (revenue by segment), HR (headcount capacity and time-to-hire by team), and Sales (pipeline coverage and quota attainment). SplashBI maps the gap between pipeline opportunity and headcount capacity across every region. One decision view, not three briefing decks.

Supplier delays linked to project profitability.

Operations data (supplier lead times, project timelines, milestone slippage) and Finance data (project costs, revenue recognition schedules, margin by project) sit in different systems. SplashBI gives you one answer in a single view. Supply chain and finance stop arguing about whose numbers are right, and start deciding what to do next.

Customer evidence

Unified domains. In production

Multi-domain Defense Leader

Unified data from Oracle Fusion Cloud, Workday, AutoTime, Ivanti, and three Salesforce instances. 130+ real-time Fusion reports. Finance accelerated period close. People Analytics delivered a consolidated workforce view for 4,000+ employees. Five source systems. One governed platform.

K-12 School District

160,000 students, 19,000 employees, $2.5B budget. Workforce, financial, and student-outcome data unified across Oracle EBS. Cross-domain view covers school-level staffing, teacher vacancies, bus driver shortages, deferred maintenance, and budget variance.

Leading Healthcare System

Replaced manual compensation analysis and static HR reporting. Projected 3x return on analytics investment. Manager adoption above 70%. HR teams reclaimed 20–30 hours per month. HR analytics connected to Finance for full workforce cost visibility.

The structural difference

Other platforms move data. SplashBI models the relationships

Each category of tooling solves one part of the problem. SplashBI is the only platform where the cross-domain data model, the semantic layer, and the governance are pre-built across all four domains - and maintained as part of the product.

The four domains

Finance, HR, Sales, Operations. One model

Finance

From the GL to the boardroom.

GL, budget vs actuals, period close, multi-entity consolidation, AP/AR aging, cash flow. Connects to HR for labor cost and to Sales for revenue performance, creating a single source of truth across every business unit and legal entity.

HR (People)

From headcount to business impact.

Headcount, voluntary and involuntary turnover, recruitment pipeline, compensation benchmarking, workforce planning, performance. Connects to Finance for total cost of workforce and to Operations for staffing impact on productivity and throughput.

Sales

From pipeline to revenue.

Pipeline health, quota attainment, revenue by segment and region, customer lifecycle. Connects to Finance for forecasting accuracy and to HR for team capacity, turnover impact on coverage, and time-to-productivity for new hires.

Operations

From the plant floor to the P&L.

Plant throughput, project performance, supply chain lead times, service delivery. Connects to Finance for COGS and margin by facility, and to HR for workforce efficiency, shift coverage, and safety incident rates.

The governed layer. One question away

Cross-Domain Intelligence is the governed data layer. SplashAI is how your leadership team accesses it. Ask a question in plain English. Get a cross-domain answer in seconds that is fully governed, auditable, and traceable to source.

"Show me the correlation between employee engagement scores and customer churn rates, by region."

"What is the projected impact on gross margin if we increase production capacity by 15% in Q4, given current labor costs?"

"Which are our five lowest-performing sales territories, and what are their talent retention rates?"

The path in

Start with one domain. The cross-domain view follows

Most customers arrive through one domain. The cross-domain view typically arrives within the first 90 days of a second domain connecting.

Oracle Reporting Modernization

Finance domain established first. HR and Operations connect from there. The cross-domain view emerges without a second implementation project.

People Analytics

HR domain built first. Connect Finance for workforce cost analysis. The CFO and CHRO start sharing a source of truth.

Data Pipeline

All domains aggregated from day one. Cross-Domain Intelligence is available immediately. The platform investment pays off from the first deployment.

Ask the question your team hasbeen avoiding for three years

Most customers start with one domain. The cross-domain view comes within 90 days of the second one connecting. Schedule 45 minutes - we'll show you what becomes possible when Finance and HR, or HR and Operations, or all three, speak the same language for the first time.