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description= Find quick answers about Keboola s data platform, financial intelligence, security, AI capabilities, and pricing.;
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ls and forecasts and support planning rolling forecasts yes keboola treats budgets actuals and forecast versions as equal citizens in the data model this allows real time side by side comparison and seamless integration of planning updates into the consolidated view financial intelligence supports multiple data versions actuals budget reforecast multiple scenarios through the same pipeline a planning front end with a spreadsheet like interface lets users input or adjust budgets and forecasts with a full audit trail updated forecasts automatically flow back into consolidated views including currency conversion and roll ups so you can run rolling forecasts and scenario analysis without manual rebuilding can we start with a pilot before rolling out to all entities yes and that s often the recommended approach start with 1 2 high impact use cases e g group financial results daily sales connect your core systems and prove value in a single quarter use hard numbers days to close hours mds saved error reduction to build the internal business case then roll out additional entities use cases profitability treasury risk and departments on the same finance data platform how does keboola ensure data quality and accuracy data quality is built into the financial intelligence workflow through validation completeness checks and continuous monitoring keboola ensures that all inputs transformations and outputs remain consistent across systems and entities a dedicated data quality layer validates completeness consistency and reconciliations across entities and systems you can define business rules thresholds and alerts e g intercompany mismatches balance discrepancies missing records and monitor them in real time if you already use data quality tools they can be integrated keboola becomes the central place where clean trusted financial data is assembled for reporting and ai how is ai used in keboola financial intelligence and is it safe for finance data ai is there to augment not replace finance an ai assistant helps build and manage data pipelines and automations directly inside keboola speeding up development for data finance power users an ai chat interface lets business users explore governed data in natural language ask questions request ad hoc cuts generate draft dashboards all against certified datasets all ai usage sits on top of the same governed auditable layer so outputs remain explainable and compliant for finance use cases can we safely give auditors and external parties access keboola supports audit workflows by enabling controlled transparent access to governed datasets external users can be granted scoped permissions while maintaining complete traceability of how every number is produced you can create dedicated auditor roles or workspaces with read only scoped access to the data and reports they need all transformations and adjustments have a clear audit trail what changed who changed it and when this typically shortens audit cycles and shifts conversations from where did this number come from to what does it mean can we build this ourselves on a data platform like microsoft fabric or databricks technically yes but the question is whether building a full finance data foundation is the best use of your team s time platforms like fabric and databricks are powerful toolkits while keboola provides a purpose built ready to use financial consolidation solution building this internally usually requires custom erp api connectors a financial data model with proper hierarchies a chart of accounts mapping ui and governance fx translation rules with full configurability intercompany matching and elimination logic versioning qa reconciliation and completeness checks lineage auditing and sox style controls this typically means 6 12 months of engineering work before finance sees value and ongoing maintenance forever keboola accelerates this dramatically out of the box connectors and financial data model consolidation rules mapping logic and governance baked in end to end automation delivered within weeks and clean integration with fabric databricks if you already use them our philosophy build where it differentiates your business buy where the problem is already solved we already use power bi or tableau why do we need keboola you likely don t need to replace power bi or tableau the real question is what prepares the numbers before they reach the dashboard bi tools visualise data beautifully but they don t solve consolidation governance or financial logic most of the hard work happens before the dashboard extracting and aligning data from multiple erps mapping different coas into a group standard translating currencies accurately identifying and eliminating intercompany transactions performing reconciliation and data quality checks when this logic lives in excel or custom scripts you inherit no audit trail key person dependency manual errors and rework slow change management keboola provides the trust layer beneath your bi automated consolidation and governance certified datasets for reporting drill down to journals and source transactions bi tools continue to do what they do best visualisation the result power bi tableau dashboards your cfo can trust because the data underneath is correct governed and fully auditable what does a typical implementation look like and how long does it take a standard rollout follows five phases and typically delivers first value in 8 weeks preparation environment setup access goal alignment data processing connect 2 3 main source systems initial model quality checks governance business glossary access model report catalogue customisation kpis eliminations financial model adjustments enablement training for finance users self service bi setup simpler setups fewer systems fewer entities can go live faster complex multi entity groups usually land in the 8 12 week range which erps and data sources does keboola connect to keboola provides hundreds of pre built connectors for all major erps sap oracle netsuite sage microsoft dynamics and others crm billing risk collections hr and operational systems databases and cloud storage plus flat files like csv excel sharepoint onedrive google etc and if you have a niche or legacy system we can connect it via api or file based integration just as easily what kind of results have customers achieved customers typically realise tangible improvements within weeks because keboola automates the high effort low value parts of the finance workflow the impact is measurable across close cycles manual workload data accuracy and the speed of decision making close time cut by up to 58 e g 12 days 5 days manual work in finance reduced by up to 70 of team capacity 100 man days per month saved in group reporting at a global consumer finance group 40 financial data products p l bs financial performance portfolio quality liquidity profitability used across cfo risk sales and treasury see our customer stories do we need to change our existing systems or data to use keboola keboola is designed to fit into your current finance tech stack without requiring migrations or process overhauls it connects to your existing systems ingests data as it is today and unifies everything into a governed model on top of your warehouse works with your existing erps gls crms dwhs and spreadsheets no re platforming required ingests data in existing formats sql apis csv excel files and normalises it into a common financial data model you keep your current tools keboola sits underneath as the data platform that makes everything consistent and automated what is keboola financial intelligence and who is it for keboola financial intelligence is a solution for finance teams that connects all your financial systems erps crms excel data warehouses automates consolidation and reporting and gives finance leaders a real time audit ready view of performance across entities it s built for mid market and small enterprise organisations with 5 50 finance ftes multi entity groups multi system environments with excel heavy workflows and no modern finance data backbone what problems does keboola financial intelligence solve for finance teams we tackle the monday morning nightmare of modern finance finance teams use keboola to eliminate the operational drag caused by manual work inconsistent data and slow consolidation the platform replaces spreadsheets and system silos with a governed backbone that automates the recurring pain points every finance leader recognises slow close cycles 10 25 days and delayed board reporting up to 70 of analyst time spent on data gathering and reconciliation instead of analysis conflicting numbers from different systems and spreadsheets multiple versions of the truth fragile excel models key person risk and painful audits how is keboola financial intelligence different from epm tools like anaplan or onestream keboola plays a fundamentally different role in the finance stack we solve the data foundation while epm tools solve planning and modelling epm platforms assume your financial data is already consolidated harmonised and trusted keboola is the layer that makes that data clean governed and ready for planning epm tools excel at budgeting forecasting and scenario modelling but they assume the data feeding them is already standardised in multi erp environments someone still has to extract data from every system map different charts of accounts into one structure apply fx conversion rules correctly identify and eliminate intercompany transactions reconcile and validate before loading keboola automates all of this upstream financial consolidation work we can serve as the data backbone for anaplan onestream or provide built in planning for simpler needs in short epm tools help you model the future keboola makes sure the data from the past and present is accurate enough to trust how do you provide data lineage audit trail and avoid vendor lock in the platform is designed to make every data movement transformation and metric definition fully transparent you always retain ownership of your data and models and keboola ensures all logic remains portable every object tables pipelines transformations metric definitions is versioned and logged visual lineage lets finance teams trace any metric back through the pipeline to the original erp or source system a built in data takeout mechanism exports data transformation scripts and configuration logic to your storage of choice so you are never locked in how does keboola handle security privacy and compliance keboola is used by regulated financial institutions and is designed for strict governance enterprise grade encryption role based access control and full audit logging support for gdpr and data residency requirements eu us regions private tenant options architecture and workflows that support sox style controls and ifrs gaap compliant reporting processes with complete traceability from transaction to report learn more at our trust center security how does keboola encrypt data at rest and in transit keboola implements defense in depth encryption at multiple layers data at rest aes 256 encryption through aws kms azure key vault and google cloud kms all stored data snowflake tables file storage configuration values remains encrypted data in transit tls 1 2 https for all api communications web interface access and component data transfers application level encryption sensitive configuration values prefixed with are automatically encrypted before storage no decryption api exists for end users encrypted values only decrypted during component execution ciphers are region locked and cannot transfer between deployments learn more at developers keboola com overview encryption what data residency options does keboola offer for regulatory compliance keboola provides multi region deployment options across three major cloud providers available regions united states aws us virginia gcp us virginia european union aws eu frankfurt azure eu ireland gcp eu frankfurt custom regions single tenant deployments in any region supported by the cloud provider for eu data protection sub processors aws emea sarl microsoft ireland operations google cloud emea ltd are contractually bound to eu processing byodb deployments give customers direct control over data residency since data resides in customer owned databases learn more at keboola com dpa security keboola com what security certifications and compliance standards does keboola meet keboola maintains enterprise grade security certifications soc 2 type ii annual certification demonstrating ongoing operational effectiveness of security controls available through the trust center gdpr compliance maintained since may 2018 with comprehensive data processing agreement dpa and standard contractual clauses hipaa compliance available for healthcare organizations in the enterprise tier cloud infrastructure partners aws azure gcp maintain iso 27001 csa star and other certifications sub processors are contractually bound to process data only in approved regions the trust center provides access to compliance documentation vulnerability disclosure policies and bug bounty program learn more at security keboola com how does keboola handle audit logging and support access keboola provides comprehensive audit capabilities complete audit trails all user actions data changes job executions and configuration modifications are logged with timestamps and user attribution telemetry data job execution details data flows schema evolution and operational metadata available for compliance reporting controlled support access keboola support engineers must request access through the platform project administrators receive notifications and can approve or reject requests time limited access when approved support access is granted with full audit logging and configurable auto join policies customer controlled organizations can disable auto join to require explicit invitations for all access learn more at keboola com product security how does keboola ensure security across different deployment models keboola s security architecture adapts to three deployment models multi tenant saas network isolation between tenants encrypted storage access controls available in aws us eu azure eu and gcp us eu vpc deployment options available for enterprise single tenant deployment complete keboola stack within customer s cloud environment maximum control custom security policies custom domains direct active directory integration byodb bring your own database customer data stays in customer owned snowflake or bigquery instances keboola orchestrates but never stores customer data on keboola infrastructure all deployment models maintain full audit logging and docker containerization ensuring components run in isolated environments learn more at help keboola com storage byodb what access controls does keboola provide for enterprise security keboola implements multi layered access...
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