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6 results found containing fincore in Lot 2: Cloud software in the category Marketing
FINCORE LIMITED
Finworks Health Data Hub provides the capability to effectively manage multiple sources of health data, quickly and simply into a single repository for analysis or for distribution to other systems. Our automated quality assurance processes offer the ability to cleanse, enrich and transform data within a single data fabric hub.
Finworks Data Fabric Platform supports rapid ingestion of substantial amounts of unstructured data, with automated data preparation and transformation from a variety of diverse data sources. Data fabric integrates fragmented data assets to provide a consistent, accurate, real-time view of data assets. The platform offers scalable enterprise data science analytics.
Finworks' Data Platform allows organisations to integrate data across platforms and users. The data fabric solution integrates fragmented data assets to provide a consistent, accurate, real-time view of data assets. Data is traced end-to-end, and quality is optimised so it is fit for purpose to make it a valuable asset.
Finworks Data Management Platform provides the capability to bring together multiple large data silos, quickly and simply into a single repository for analysis or for distribution to other systems. Our automated quality assurance processes offer the ability to cleanse, enrich and transform data within a single Data Lake solution.
Finworks cloud data warehouse offers a central secure place for collecting, compounding, storing and analysing large data volumes from variety of sources/structures. It offers both the confidence of a consolidated golden copy of the data and the agility of individual self-service data labs for independent analytics and delivering business insights.
The Finworks Data Mesh revolutionizes data management by decentralising ownership and governance, integrating disparate sources into a unified repository, treating data as a product, and empowering domain-specific teams to manage their own data. Automated processes ensure data quality, cleansing, and transformation. Outcomes include improved data access, quality, and agility.