Financial services analytics
Create personalized offerings, ensure regulatory compliance, reduce risk, and improve operational efficiency with data-driven insights.
KNIME: Digitally transforming financial services organizations
Create personalized offerings, recommend the right products, and reduce churn.
Detect and predict fraud faster, uncover money laundering threats, and mitigate risk.
Comply with regulations, ensure auditability, and meet financial reporting requirements.
Success stories
Use Cases
Real-world applications of data analytics in financial services.Customer Analytics
- Customer Segmentation
- Customer Lifetime Value Prediction
- Next Best Offer
- Distribution Spatial Footprint
- Customer Satisfaction Reviews
- Marketing Campaign Analysis
Risk Management
- Credit Scoring
- Fraud Detection
- Anti-Money Laundering
- Financial Market Sentiment Analysis
- Regulatory Compliance Analytics
Operational Efficiency
- Process Mining & Automation
- Financial Forecasting
- Financial Closing Reporting
Why KNIME for financial services analytics
A single, intuitive interface for simple and complex data work
- Consolidate, cleanse, and process data from all new and legacy sources on a single, intuitive platform.
- Automate tedious data processing or build advanced models for fraud detection and anti-money laundering.
- Make data analysis accessible to both business and data experts with KNIME’s visual interface.
- Build visual workflows to ensure traceability for compliance – from customer interactions to transactions processing to financial reporting.
Analytic depth for more responsive financial services
- Build sophisticated models to quickly identify fraudulent transactions, calculate accurate credit scores, predict cash flow, anticipate customer needs, and more.
- Allow data science teams to deploy complex workflows to financial analysts, compliance officers, risk experts, and other business users via interactive data apps.
Enterprise-scale data analytics platform
- Access the right data for analysis while ensuring granular governance and security at data, workflow, and application levels.
- Ensure regulatory compliance by making each analysis auditable, debuggable, and explainable to others with self-documenting workflows and versioning.
- Schedule workflows to automate data grunt work such as budget monitoring, EUC remediation, ledger error and compliance, and KPI reporting.
- Connect easily to other enterprise tools like Tableau and PowerBI.
Future-proof with open source
- Stay ahead of the changing landscape with constant advancements and innovation powered by a global, open-source community.
- Make the most of readymade solutions and blueprints for fraud detection, risk scoring, ledger entry and reconciliation, and more in the KNIME Community Hub.
GenAI Governance Strategies from QFCRA
The QFCRA webinar explored GenAI governance in financial regulation, highlighting risk management, AI oversight, and practical applications using KNIME, while emphasizing transparency and responsible adoption.
How ING is using KNIME to transform its audit process with automation and AI
The internal audit team at ING shared how they automate and streamline their audit process, reducing data retrieval times from 8 weeks to instant access, enabling 400 auditors to perform analytics efficiently, integrating audit evidence directly into their management system, and ensuring adaptability to evolving business needs while maintaining GDPR compliance.
Unlocking Data Analytics, Data Science & AI for Treasury Marketing within GDPR Constraints
Selman Bayoglu shows how the low-code environment with KNIME has opened up access to advanced analytics techniques for his team at Kuvyet Türk. Learn how they have now generated an additional 10% in annual treasury revenue thanks to analytical activities.
