Solution – Active Data Governance

Manage Data as Growth Capital

A robust, agile and comprehensive data governance program is essential to realizing the full value of data as a strategic asset. Active data management is required so data can be properly cataloged, secured, quality controlled, mastered and semantically enriched. When this program is effective, confidence and trust in data grow, thereby increasing engagement across your enterprise and creating a culture where everyone is vested in preserving and enhancing this data.

To further build trust in data, Daman complements programmatic and implementation support with a “data certification framework” based on

the traditional pillars of governance, including data quality, metadata management, master data management, information security and other areas. Operating as a blend of tools and automation utilities, this framework not only certifies data assets in their current state but also provides a roadmap and operating procedures to mature the data asset so it attains higher certification levels.

Explore our solutions to learn how we can help you manage and govern your data assets to support greater productivity, flexibility and growth.

Solutions, Delivered.

Data Governance Strategy

Empower your users and protect your business with a governance program that incrementally addresses the technology, process and organizational issues that are critical for success.

Metadata Management

Take an automated approach to metadata management with tool-based data discovery, automated metadata extraction, interoperable standards, and intelligent data lineage and life cycle management capabilities.

Data Quality Solutions

Deliver trusted data by adopting best practices in data stewardship, audit, cleansing, quality scoring and conformance.

Data Marketplaces and Exchanges

Adopt a new data management paradigm by managing data as products that can be transacted upon and delivered at speed and scale.

Data Lineage

Leverage our automation solutions to support compliance reporting and sensitive data management, enable advanced analytics and support large-scale migrations via comprehensive impact analysis.

DataOps Enablement

Allow data to flow from source to consumption by leveraging automated governance, lineage, quality and metadata management approaches.