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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.Create personalized offerings, recommend the right products, and reduce churn.
  • Detect and predict fraud faster, uncover money laundering threats, and mitigate risk.Detect and predict fraud faster, uncover money laundering threats, and mitigate risk.
  • Comply with regulations, ensure auditability, and meet financial reporting requirements.Comply with regulations, ensure auditability, and meet financial reporting requirements.

More success stories

ING
Success Story

ING

Why ING upskilled auditors to use KNIME for data analytics & process mining

Rabobank
Success Story

Rabobank

How Rabobank got 300 auditors to run anomaly detection independently

Truata
Success Story

Truata

How Truata anonymized and automated credit card data to perform self-service analytics

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As auditors, sometimes we audit a part of the business and we see that they're using an Excel spreadsheet. Automatically the flags go up and we say "here's a risk." The nice thing about KNIME is that you can program things, set it from start to finish, and you can get rid of that Excel risk.

Hassan Jan, Senior Manager Internal Audit, Fidelity Canada
Blue Angle Line

Why KNIME for financial services analytics

A single, intuitive interface for simple and complex data work

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

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

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

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.