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Why Your Board Sees Different Numbers Than You Do
Sales says EBITDA is up 5%. Finance says down 3%. Operations says flat.The role of finance leaders is evolving. Modern CFOs aren't just reporting numbers—they're answering the "why" behind them. Why is revenue down? Why did margin compress? What's driving customer churn?To lead is to understand. And to understand, finance must own the definitions.When IT or BI teams control what "EBITDA" or "Customer Lifetime Value" actually means, finance loses the ability to connect financial and non-financial data. You can't answer "Why is margin down?" if you don't control how margin is defined, calculated, and validated.We know this isn't easy. That's exactly why we're showing you a proven approach: how to start, what to avoid, and real examples from a finance team that built a 380-metric catalog from scratch.This session is especially valuable for CFOs or Finance Directors who:Manage multiple entities or subsidiariesAre preparing for AI/automation but need to get your foundation right firstKeep hearing "we need a single source of truth" but haven't made it happenSpend more time explaining variances than analyzing what drives themIn 30 minutes✓ Why finance should own metric definitions (not IT)✓ 3 practical approaches: from a spreadsheet and BI tool to fully automated platform✓ Live demo: Practical showcase from a customer who manages 380 metrics with automated validation
Sales says EBITDA is up 5%. Finance says down 3%. Operations says flat.
The role of finance leaders is evolving. Modern CFOs aren't just reporting numbers—they're answering the "why" behind them. Why is revenue down? Why did margin compress? What's driving customer churn?
To lead is to understand. And to understand, finance must own the definitions.
When IT or BI teams control what "EBITDA" or "Customer Lifetime Value" actually means, finance loses the ability to connect financial and non-financial data. You can't answer "Why is margin down?" if you don't control how margin is defined, calculated, and validated.
We know this isn't easy. That's exactly why we're showing you a proven approach: how to start, what to avoid, and real examples from a finance team that built a 380-metric catalog from scratch.
This session is especially valuable for CFOs or Finance Directors who:
- Manage multiple entities or subsidiaries
- Are preparing for AI/automation but need to get your foundation right first
- Keep hearing "we need a single source of truth" but haven't made it happen
- Spend more time explaining variances than analyzing what drives them
In 30 minutes
✓ Why finance should own metric definitions (not IT)
✓ 3 practical approaches: from a spreadsheet and BI tool to fully automated platform
✓ Live demo: Practical showcase from a customer who manages 380 metrics with automated validation
Speakers
Michal Hruska
Former Risk Innovation Manager, Financial Services | Head of Sales Engineering
Former Risk Innovation Manager at Home Credit Vietnam and Big Data leader at Home Credit India, Michal brings 8+ years of finance domain expertise in credit risk, anti-fraud systems, and financial data architecture. At Keboola, he leads enterprise finance implementations: helping CFOs modernize data infrastructure, automate consolidations, and bridge legacy systems with modern cloud architectures.
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