Precisely expands Data Integrity Suite

Global leader in data integrity Precisely expands its Data Integrity Suite allowing customers to use cloud-native spatial APIs to produce more scalable and performance spatial apps, enrich data with critical third-party datasets that add context and reveal new insights for location data, and access more flexible deployment options for mainframe replication.

With these additions, the Data Integrity Suite now delivers a complete set of capabilities that seamlessly connect through its Data Integrity Foundation. Featuring a shared data catalogue, machine-learning-powered intelligence and hybrid execution agents to run workloads in any data environment, the Data Integrity Foundation is key to accessing the most critical capabilities needed for trusted, AI-ready data.  This includes Data Integration, Data Observability, Data Governance, Data Quality, Geo Addressing, Spatial Analytics, and Data Enrichment.

“Customers can now access a complete range of data integrity capabilities in the way that works best for their business, allowing them to quickly and easily fuel their organization with highly trusted data,” says Chris Hall, Chief Product Officer, Precisely.  “We are proud to lead the way in delivering a converged data integrity solution that uniquely combines everything from data integration to spatial analytics and data enrichment – critical elements for ensuring reliable AI and advanced analytics outcomes.”

Every organization’s data has a location element that can be leveraged for deeper insights, but first, the right tools are required to uncover its value. With the Data Integrity Suite Spatial Analytics Service, customers can discover patterns, trends, and relationships between location-based datasets and easily share valuable findings through enriched business processes, maps, and out-of-the-box reports to accelerate revenue growth.

A new Private Mainframe Replication API, part of the Data Integrity Suite Data Integration Service , provides a container-based solution for mainframe replication.  It gives users the freedom to move data according to their needs, whether the target environment is a private data centre, an on-premises system, or a hybrid environment.  This is particularly significant for businesses in highly regulated industries, such as financial services, banking, and insurance, which can face stringent deployment requirements. The new offering allows users to meet internal and external deployment needs while accessing valuable mainframe data for advanced analytics, AI, and other critical business initiatives