Sapien for Analytics

Turn your business knowledge into answers teams can use.

Q: What would we connect first?

Start with a question your team needs to answer. For the example above, the relevant inputs include Warehouse models, Business definitions, Source records. Together, we would agree on the definition of approved contribution model, map the relevant data, and review the first analysis with your team. The starting scope depends on your systems and data access.

Q: Does Sapien replace our existing tools?

No. Sapien sits on top of your existing systems and connects directly to them. It brings data from your ERP, data warehouse, and spreadsheets into your analysis so you can investigate questions across systems without replacing the tools your business runs on.

Q: How can I verify Sapien’s outputs?

Sapien shows the sources, calculations, and assumptions behind every insight. Your team can inspect supporting records and refine the business logic used on every decision. That gives you a way to validate the answer before acting on it.

Give every analysis the benefit of your data models and definitions. Sapien helps teams explore questions, inspect the work, and reuse the analysis.

Sapien / AnalysisIllustrative product example

Can we explain the margin change using our approved model?

April → May

Volume and pricing added $400k. Higher fulfillment costs offset half the gain.

Change in contribution margin+$200,000

Contribution marginUSD, millions

$2.0MApril

$2.2MMay

April$2.0M

May$2.2M

Explore what changed

Select a driver to explore the calculation.

Fulfillment: −$200,000

The cost allocation model attributes higher fulfillment expense to the same order base.

40,000 orders × $5 cost increase= $200,000 decrease

Source reference

Cost model · Allocated fulfillment

A next question

Can we reuse this analysis for each customer segment?

Your business logic, built in

The answer starts with how your business works.

Sapien connects your data and maps the relationships behind it. Your team adds the definitions, rules, and exceptions that make the analysis useful.

Explore the platform

Connected business data

Warehouse modelsBusiness definitionsSource records

Shared definition

Approved contribution model

Reuse the team’s revenue definitions, cost allocations, and joins. Preserve source references so analysts can review the calculation behind the answer.

Order → CustomerMetric → DefinitionSource → Model

The same knowledge informs every analysis.

From the first question to the next decision

More ways to put Sapien to work.

Automate your most repetitive reports and dashboards

Turn the variance analyses, margin reports, and cost breakdowns your team rebuilds manually every close into one-click workflows. Feed outputs directly into live dashboards.

Give business users self-service analytics

Let finance and ops leaders ask questions, explore drivers, and drill into data in plain English. Free your team to focus on the analyses that actually move the business.

Connect data across ERPs, warehouses, and spreadsheets in days

Sapien maps and understands your data sources automatically. No more stitching together extracts manually or maintaining brittle joins that break when schemas change.

Make every answer traceable and reusable

Trace calculations back to source data, review the steps behind each answer, and save validated analyses as reusable workflows. Give the business faster answers without sacrificing control.

Frequently asked questions

What would we connect first?

Does Sapien replace our existing tools?

How can I verify Sapien’s outputs?