Precisely, the global leader in data integrity, has officially announced the launch of brand-new Spatial Analytics and Data Enrichment services, along with new private API for mainframe replication. According to certain reports, both these new solutions are designed to let customers leverage cloud-native spatial APIs and produce more scalable and performant 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. More on the former would reveal how it is well-equipped to allow users to discover patterns, trends, and relationships between location-based datasets. Once discovered, you can markedly share the stated information through enhanced business processes, maps, and out-of-the-box reports so to accelerate revenue growth. This involves applying the stated datasets to more accurately gauge the risk proportion, optimize resource allocation, and improve upon property-related performance evaluation. Moving on, another major thing which the solution in question does is the way it helps you find the right audience for new services, and at the same time, produce more accurate, targeted, and timely customer offers, backed by advanced location analytics. Of course, this it does alongside the designing of custom applications via access to a diverse APIs assortment.
Turning our attention towards the new Private Mainframe Replication API, it is a solution which is positioned to provide s a container-based solution for mainframe replication. In essence, it bestows users with the freedom they require to move data as per their needs, regardless of whether the target environment is a private data center, an on-premises system, or a hybrid environment. Particularly useful for organizations operating in highly regulated industries, such as financial services, banking, and insurance, that can face stringent deployment requirements; a solution of this sort enables users to meet internal and external deployment needs. Not just that, it also allows them to simultaneously access valuable mainframe data for advanced analytics, AI, and other critical business initiatives.
“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,” said Chris Hall, Chief Product Officer at 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.”
Having referred to what they bring separately, we must now acknowledge that, when combined, these solutions will save users their time and resources by quickly enriching data with reliable datasets that are easy to use and require little to no preparation. Besides that, another detail we ought to mention here is concerned with the how the new pair of solutions will actually operate under Precisely Data Integrity Suite. Hence, moving forward, this suite can be expected to conceive a complete set of capabilities that seamlessly connect through its Data Integrity Foundation. Supported with shared data catalog, machine-learning-powered intelligence, and hybrid execution agents to run workloads in any data environment, these capabilities include data integration, data observability, data governance, data quality, geo addressing, spatial analytics, and data enrichment.
