Dawiso is a data governance software designed to help organizations structure, document, and control their enterprise data assets. Tailored for data managers, CIOs, and business analysts in mid-size to large companies across industries such as banking, insurance, healthcare, and public services, Dawiso provides tools to enforce data standards and regulatory compliance while improving data trustworthiness.

At its core, Dawiso supports organizations in building a shared data culture by enabling collaboration between business and technical teams. It offers functionalities for data cataloging, data lineage tracking, data quality monitoring, and metadata management. Key advantages include:

• A centralized, collaborative environment for data stewardship

• Clear visibility into data flows and transformations

• Accelerated compliance with GDPR and other data-related regulations

What are the key features of Dawiso?

Centralized data catalog and metadata repository

Dawiso helps organizations create a central inventory of all their data assets, enriched with business and technical metadata.

Key capabilities:

• Automatic or assisted ingestion of metadata from various systems (databases, BI tools, data lakes)

• Customizable business glossaries to align terminology across departments

• Search and filter functions to quickly locate datasets and their definitions

This enables a common language around data, improving understanding and reducing ambiguity in cross-functional projects.

Data lineage visualization and impact analysis

With Dawiso, users can trace how data moves and transforms across systems, from source to final usage.

Features include:

• Visual maps of data pipelines and transformations

• Impact analysis to understand consequences of schema or process changes

• Integration with ETL tools, data warehouses, and reporting platforms

By making data lineage transparent, Dawiso reduces the risk of data misinterpretation and facilitates change management.

Data quality rules and monitoring

Dawiso allows the definition and monitoring of data quality rules to ensure data accuracy, completeness, and consistency.

Included features:

• Customizable data quality indicators

• Rule-based alerts on anomalies or rule breaches

• Historical tracking of data quality over time

These tools enable data teams to identify and address quality issues early, improving confidence in decision-making.

Collaborative data stewardship workflow

Dawiso supports structured workflows for data governance processes, helping organizations assign responsibilities and track actions.

Functionality highlights:

• Role-based access and task assignments for stewards and owners

• Commenting and validation cycles for proposed metadata changes

• Governance dashboards to monitor progress and responsibility

The collaborative framework enhances accountability and traceability in data-related decisions.

Compliance and audit trail management

Dawiso helps organizations demonstrate compliance with data protection and privacy regulations by keeping records of data management activities.

Capabilities include:

• Versioning and change history for metadata and data models

• Documentation of data processing activities

• Support for GDPR data mapping and accountability principles

This structured approach simplifies audit preparation and reduces compliance risk.

To summarize

Dawiso stands out in the data governance landscape by delivering:

• A central source of truth for metadata and data definitions

• Full data lineage and impact visibility for better change control

• Proactive data quality management to enhance trust in analytics

• A collaborative platform that connects business and IT roles

• Integrated tools to support compliance with evolving data regulations

By combining automation with business context, Dawiso enables organizations to manage their data assets as strategic, governed resources.