Quest Data Management

TheData Governance it is a strategic priority for CIOs and top management today: data are a fundamental asset for improving operations and enabling new business models, especially in the AI era.

In this context, the concept ofData ProductData managed as genuine products, with clear responsibilities (Data Owner), defined quality standards, documentation, and access rules, ready for sharing and reuse.

Distributed data management is expressed in the modelData Mesh, che richiede una governance evoluta e orientata al dominio.

In this scenario, the suiteQuest Trusted Data Management allows knowledge to be retrieved from forgotten or undocumented databases, enriched with metadata, and transformed into a reliable information asset for AI. Thanks to features ofData Modeler, Data Quality, Data Governance e AI Governance, and a utilityGenAIcapable of extracting knowledge from company documents, the platform enables the creation of aactive and semantic documentation, fundamental to making the data truly usable.

Benefits and Advantages

Comprehensive and integrated data view

A system that combines Technical and business metadata (modelling, quality, KPIs, business rules), offering a comprehensive and consistent view of data based on company organisation, roles, and processes.

Scalability and flexibility over time

A platform incremental and extensible, which grows with the maturity of Data Governance, allowing for the sustainable definition of new processes, roles, and metadata aligned with the company strategy.

Opening, integration and intelligence

A system Open and intelligent, capable of acquiring metadata from multiple business sources and generating semantic connections, integrating with tools such as Data Modeler and Gen AI utilities, capable of extracting knowledge from business documents and converting it into metadata.