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description=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;

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why your board sees different numbers than you do events keboola skip to content next week data apps workshop 2 june reserve a spot solutions product resources customer stories pricing solutions financial intelligence financial data automation data consolidation every erp one source of truth esg sustainability reporting vppa energy procurement analytics industries marketing agencies client reporting analytics retail ecommerce omnichannel data financial services banking fintech hospitality qsr restaurant hospitality analytics customer story how home credit automated financial reporting learn more data management keboola platform end to end data platform data streams real time data ingestion data templates pre built data pipelines connectors 300 integrations change data capture cdc for databases transformation sql python r more flow builder visual pipeline builder ai applications applications build custom apps mcp server ai model integration kai your ai data engineering assistant data 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restaurant hospitality analytics product data management keboola platform end to end data platform data streams real time data ingestion data templates pre built data pipelines connectors 300 integrations change data capture cdc for databases transformation sql python r more flow builder visual pipeline builder ai applications applications build custom apps mcp server ai model integration kai your ai data engineering assistant data governance active metadata metadata management opentelemetry otlp endpoint into storage security enterprise security data catalog data discovery activity center monitoring logging resources education resource hub guides whitepapers events webinars live on demand blog news tutorials newsletter stay updated developer resources changelog what s new documentation technical guides developer portal api sdk data academy free courses contact contact us get in touch partners partner ecosystem careers join our team customer stories pricing book a demo try now login 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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 ai agents cfo finance data engineering michal hruska feb 26 2026 watch this webinar first name last name business email phone number company name job title watch recording we respect your privacy privacy policy 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 share 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 watch this webinar first name last name business email phone number company name job title watch recording we respect your privacy privacy policy related events on demand meetup ai agents cfo finance finance breakfast san francisco working ai for your finance stack may 28 2026 watch recording on demand conference ai agents cfo finance conferences nordic cfo network 2026 copenhagen 19 may may 19 2026 watch recording on demand podcast ai agents cfo finance the real reason finance struggles to deliver insight apr 24 2026 watch recording balu gopakumar account executive martin lepka cmo keboola giorgio pontillo cro ready to transform your data workflow join 500 companies using keboola to power their data operations start free trial talk to sales

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