When the CFO presents,
everyone has different numbers.
5+ entities. Manual consolidation. A 20-day close. An FP&A team that spends 70% of its time reconciling. The problem isn’t your people. It’s fragmented financial truth.
5 days
Close cycle — down from 10–25
70%
Less FP&A time on reporting
Hours
To complete a full reforecast
One
Governed, AI-ready data foundation
The Problem
Fragmented definitions — no two entities report the same way
Gross vs. net revenue recognition. Different intercompany treatment. Different period-end cut-offs. Every management reporting cycle starts with a debate about whose numbers to trust. The CFO can’t present with confidence because the baseline is always contested.
The close runs 20+ days because everything is sequential and manual
Data collection, validation, consolidation, and management pack preparation — done in Excel, by hand, by the one person who knows the mapping. When something breaks mid-close, the whole timeline slips. Reporting lands too late to inform the decisions it’s meant to support.
Reforecasting requires rebuilding the model from scratch
When assumptions change mid-quarter, the FP&A team manually updates drivers across multiple entity models, re-consolidates in Excel, checks for copy-paste errors. Driver-based planning is something the team talks about — not something they actually do.
What Keboola does
Step 01
One governed data model — same definitions across every entity
Metrics dictionary, business glossary, and account mappings maintained centrally. When the CFO presents revenue, every entity, tool, and dashboard uses the same number. The baseline argument goes away permanently.
Step 02
Close calendar compressed from 20+ days to 5
Automated data collection, validation rules, and exception flagging replace the manual steps. Errors surfaced immediately — not at 11pm before the board pack is due. Your team closes in 5 days with higher confidence in the numbers.
Step 03
Driver-based reforecasting — without rebuilding the model
When volume assumptions, FX rates, or headcount plans change, the forecast updates automatically across all entities. FP&A spends time on scenario analysis — not copy-paste, version control, and formula auditing.
Step 04
AI-ready governed data foundation — built in from day one
Clean, consistent, auditable financial data across all entities is the prerequisite for AI-assisted planning and anomaly detection. Keboola builds that foundation now, so when you’re ready, you’re not blocked by data quality problems.
From the field
Jakub Žalio
Group CTO, Creditinfo Group
Results
What multi-entity finance teams achieve with Keboola.
5 days
close cycle — down from 10–25 days
70%
less FP&A time spent on reporting and reconciliation
One
governed data model — same definitions across every entity
Hours
to complete a full reforecast — not days
CFOs Whitepaper
CFO Blind Spots: What Scattered Data Is
Costing You in 2026
Your Numbers Are Everywhere. Your Board Wants One Answer.
