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$ Financial Services

Turn Banking Data into Business and AI Assets

Trace data lineage from core banking to regulatory reports. Build data products your business teams can trust. Prove BCBS 239, DORA, and Basel IV compliance on demand. Go live in weeks, not years.

  • Cut audit preparation from weeks to hours
  • Prove BCBS 239 compliance with traceable column-level lineage
  • Go live in 4–8 weeks with no large consulting engagement
Dawiso Data Catalog dashboard showing data lineage for regulatory reporting
Dawiso Data Catalog dashboard showing data lineage for regulatory reporting
SOC 2 Type II certifiedISO 27001 certifiedISO/IEC 27018 certified

Trusted by banks and insurers across Europe

Société Générale logoKooperativa logoNationale-Nederlanden logoVIG Re logoMore references under NDA
Société Générale logoKooperativa logoNationale-Nederlanden logoVIG Re logoMore references under NDA

Built for Your Team

Dawiso speaks the language of every stakeholder in your data governance program.

Risk & Compliance
Risk & Compliance

Prove regulatory compliance on demand

You demonstrate BCBS 239, DORA, and Solvency II compliance on demand. Show auditors column-level lineage from source systems to FINREP/COREP reports. Full audit trail: who changed what and when.

Finance & Reporting
Finance & Reporting

A single source for regulatory and management reporting

Map regulatory templates (FINREP/COREP, Solvency II QRTs) to source data. Trace every figure in statutory reports back to core banking, IFRS 9/17 engines, or risk systems.

Data Office
Data Office

Catalog, glossary, and lineage in one platform, live in weeks

You deploy a unified data catalog, business glossary, and automated lineage in weeks. Assign data owners and stewards, enforce governance workflows, and build a knowledge graph across the group.

Proven Use Cases in Financial Services

From regulatory reporting to legacy system documentation — here's how banks and insurers use Dawiso every day.

End-to-End Data Lineage from Legacy to Modern

End-to-End Data Lineage from Legacy to Modern

Trace data from core banking and risk engines to FINREP/COREP reports. Works with modern platforms (Databricks, Snowflake, Microsoft Fabric) and legacy systems (Teradata, Oracle, IBM DB2). Column-level lineage auto-generated from SQL code via the SQL Parser.

Data Products for Banking

Data Products for Banking

Package governed datasets as data products that business teams can discover and trust. Risk analysts, relationship managers, and product owners get self-service access to curated data with clear ownership and quality scores.

AI Enablement & Context Layer

AI Enablement & Context Layer

Your AI models for fraud detection, credit scoring, and customer analytics need governed input data. You document model inputs, data dependencies, and lineage so your data science team builds on trusted sources with full traceability.

Business Glossary for a Unified Data Language

Business Glossary for a Unified Data Language

Your analysts and engineers call the same metric by different names. You link business terms to technical metadata so analysts see the business name and data engineers see the source table and column.

How Dawiso Solves It

Business value, AI readiness, and regulatory compliance from a single platform.
Data Products & Business Self-Service

Data Products & Business Self-Service

Turn governed data into reusable products your business teams find and trust. Risk, finance, and product teams get self-service access.
Lineage from Legacy to Modern

Lineage from Legacy to Modern

Column-level lineage across Databricks, Snowflake, Fabric, and legacy systems like Teradata, Oracle, and IBM DB2. Auto-generated from SQL.
Fast Time-to-Value

Fast Time-to-Value

Go live in 4-8 weeks. On-premise or SaaS. Scales from single institutions to group-wide deployments across subsidiaries.

Trusted by Leading Financial Institutions

From Tier-1 banks to specialized insurers — Dawiso is deployed in production across the financial sector.

Société Générale Group

Société Générale Group

One of Europe's leading financial services groups. Data governance and regulatory reporting across the organization.

Data GovernanceData LineageRegulatory Reporting
Kooperativa Insurance (Vienna Insurance Group)

Kooperativa Insurance (Vienna Insurance Group)

The largest insurer in the Czech Republic. Central platform for data management and governance.

Data GovernanceData Management
Nationale-Nederlanden

Nationale-Nederlanden

Part of NN Group, one of the largest insurance groups in Europe. Data catalog and governance across the Czech operations.

InsuranceData CatalogData Governance
VIG Re

VIG Re

Reinsurance arm of Vienna Insurance Group. Long-term client for enterprise data governance.

Data GovernanceEnterprise

Why Now: The Regulatory Pressure Is Real

Financial institutions face overlapping data governance requirements. Dawiso helps you address them from a single platform.

BCBS 239

Basel Committee principles for risk data aggregation and reporting. The primary driver for data lineage and governance in banks.

Basel IV

New capital requirements tightening risk data standards. Banks need traceable data lineage and documented data quality across all risk calculations.

DORA

Digital Operational Resilience Act (EU). ICT risk management and data governance requirements effective from January 2025.

Solvency II

Insurance directive requiring data quality, traceability, and reporting standards for insurers and reinsurers.

GDPR

Data lineage helps identify where personal data resides across systems — critical for data subject requests and impact assessments.

Key Capabilities for Financial Services

Automated metadata scanning across databases and BI tools

Automated Metadata Scanning

You discover and catalog metadata from core banking systems, data warehouses, BI tools, and ETL pipelines. 40+ data sources out of the box.

Business glossary with regulatory and financial terms

Business Glossary & Dictionary

Standardize financial terms, KPIs, and regulatory definitions (RWA, LCR, SCR). Link business terms to technical metadata so every team speaks the same language.

Column-level data lineage from source to report

Column-Level Data Lineage

Trace data flows from core banking and risk engines to FINREP/COREP reports. Auto-generated from SQL code via Dawiso's SQL Parser — no manual documentation.

Reference data management for insurance code tables

Reference Data Management

You manage code tables, tariff tables, diagnosis codes, and geographic codes centrally. Version, validate, and distribute reference data across systems.

Audit trail and governance workflows

Audit Trail & Governance Workflows

Complete audit trail: who changed what and when. Approval workflows with data owner, steward, and custodian roles. Lifecycle management for all governed objects.

Connects to Your Existing Data Stack

40+ connectors out of the box. From legacy Oracle databases to modern Databricks lakehouses — and we add new ones monthly.

  • Databricks
  • kafka
  • Keboola
  • Amazon-redshift

And we are adding new connectors monthly.

Live Demo

What You Get in a 30-Minute Demo

30 minutes, tailored to your institution. No slides — just the live platform with your use cases.

Live platform walkthrough tailored to your use cases
We can focus on whatever matters most to you — lineage, glossary, compliance, or something else
Have a specific challenge? Tell us ahead of time and we build the demo around it
Deployment options and pricing for your institution

Frequently Asked Questions

Can't find the answer you're looking for? Contact us and we'll get back to you shortly.
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How does Dawiso help with BCBS 239 compliance?

You get automated data lineage, data quality integration, and a business glossary: the three pillars of BCBS 239 compliance. You map regulatory requirements to data assets, trace data from source to FINREP/COREP reports, and demonstrate governance controls to regulators on demand. Column-level lineage means you answer "where does this RWA figure come from?" in seconds.

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What's the typical implementation timeline for a bank?

Most financial institutions go live with Dawiso in 4–8 weeks, depending on the number of data sources. Our automated metadata scanning eliminates manual cataloging, and the SQL Parser automatically generates lineage from existing code. No large consulting engagement required — Komerční banka and Kooperativa both deployed Dawiso without multi-year projects.

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What types of financial institutions use Dawiso?

Banks (commercial, private, and investment), insurers, reinsurers, asset managers, fintechs, and regulators. Clients range from Tier-1 banks in the Société Générale group to specialized reinsurers like VIG Re. Active across CEE, Nordics, Benelux, UK, DACH, and Latin America.

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Which core banking and DWH systems does Dawiso integrate with?

40+ connectors out of the box: Oracle, SQL Server, Snowflake, Databricks, SAP HANA, PostgreSQL, Power BI, Tableau, dbt, and major ETL tools. Also IFRS 9/17 engines, risk engines (Moody's, Wolters Kluwer), and regulatory reporting tools. The REST API and MCP server (available on Databricks Marketplace) enable custom integrations.

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Can Dawiso be deployed on-premise?

Yes. Many of our banking clients run Dawiso on-premise for regulatory and security reasons — including Komerční banka. We also offer SaaS and hybrid deployments. Your data metadata never leaves your infrastructure unless you choose otherwise.

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How is Dawiso priced for financial institutions?

Dawiso uses transparent per-user pricing with no per-connector or per-asset fees. Unlimited data sources and scanned objects included in every plan. Our TCO is lower than open-source alternatives (OpenMetadata, DataHub) in the first 2 years when you factor in implementation, maintenance, and support. See our pricing page for details, or book a demo for a custom quote.

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How does Dawiso compare to Collibra, Alation, or open-source catalogs?

Dawiso is on the Databricks MCP Marketplace alongside Collibra, Alation, and Atlan — one of only four data catalogs listed. We consistently win competitive evaluations against Purview, OpenMetadata, and DataHub, particularly in automated data lineage and SQL parsing. Our strength is in getting regulated institutions to value faster, with lower TCO and without the complexity of enterprise-only vendors.

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Is Dawiso secure enough for regulated environments?

SOC 2 Type II, ISO 27001, and ISO/IEC 27018 certified. On-premise, private cloud, and SaaS deployments. SSO/SAML/LDAP integration, role-based access control, and full audit logging. Built for institutions where security and compliance are non-negotiable.

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