Data Mesh
The Precisely Data Integrity Suite enables you to start building a data mesh today to empower your teams with trusted data products for fast, confident decision making.
Data Mesh
Powered by the Precisely Data Integrity Suite
In a world drowning in data, data mesh offers an answer for business teams to increase agility and be more data-driven. Data mesh is a modern architectural strategy that empowers domain experts and owners to create, organize, and manage data products for more agile and trusted business insights and outcomes.
Core principles of a data mesh include self-service access to critical data by domain owners to quickly respond to data requests, decentralized or federated data governance to manage data privacy, security, and policies and a user-friendly inventory of approved data products that are available on-demand.
Explore how the Precisely Data Integrity Suite can help you build the foundation for your data mesh strategy.
Access domain data
Enable swift responses to data requests with the Precisely Data Integrity Suite Data Integration service. Empower domain experts to self-serve data and quickly deliver data products that are timely, trusted, and relevant to make more informed business decisions.
Proactively alert teams of data changes, data drift, or anomalies that may impact existing products by monitoring data through the Data Observability service of the Data Integrity Suite. Leverage integrated Data Integrity Suite Data Quality, Geo Addressing, Spatial Analytics, and Data Enrichment services to enhance data products or address unique data use case requests.
Learn more, read the Data Integrity Suite Data Integration service solution sheet.
Discover data products
Empower data users with the ability to self-serve discoverable data products to facilitate timely business insights. The Precisely Data Integrity Suite enables data discovery through the user-friendly interface, that includes our unique catalog card views that contain critical metadata to quickly identify and understand available data. Coupled with the Data Governance service that delivers additional business metadata for greater data literacy, users can self-serve or collaborate on data products that are relevant, trusted, and current for more immediate, data-driven outcomes.
Learn more about the Data Integrity Suite Data Catalog.
Decentralize data governance
Distributed data environments have a higher risk of exposing sensitive data or violating regulations or agreements that would be costly and damaging to the company. In a data mesh, data product usage and compliance must be closely monitored.
Reduce risk across your data mesh ecosystem with greater oversight of security, privacy, and compliance requirements. Data governance also increases overall data literacy to produce more confident data outcomes with clear data meaning, ownership and accountability, detailed data quality metrics, and advanced business impact diagrams. This business-friendly service can be easily configured to support the domain-level needs of a data mesh, maturing governance approaches to support decentralized requirements.
Learn more, read the Data Integrity Suite Data Governance service solution sheet.
Report 2025 Outlook: Essential Data Integrity Insights
What’s trending in trusted data and AI readiness for 2025?
Precisely the global leader in data integrity, in partnership with the Center for Applied AI and Business Analytics at Drexel University’s LeBow College of Business, surveyed 565 data and analytics professionals on their organizations’ data strategies, priorities, challenges and the state of AI readiness.
The Evolution of Data Governance
At Gartner UK in May 2024, Tendü Yoğurtçu, PhD, CTO at Precisely and Nicola Askam, The Data Governance Coach discuss the evolution of data governance to drive innovation and not just tick boxes for compliance. Topics where data governance is taking center stage include empowering data & analytics teams to be more proactive, ensuring data integrity for data leveraged for AI and GenAI, and preparing for modern data management strategies like data fabric and data mesh.
