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5 results found

5 results found containing fincore in Lot 2: Cloud software in the category Transport and logistics

  • Finworks - Asset Management System

    FINCORE LIMITED

    Finworks Asset Management Platform allows organisations to create, operate and maintain effective asset management processes for a variety of asset types such as highways and street works, environmental services, buildings or facilities, equipment, software, intellectual property, contractual rights and financial instruments/assets. The solution provides for proactive management throughout their lifecycle.

  • Finworks - Data Fabric Platform

    FINCORE LIMITED

    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 Management Platform

    FINCORE LIMITED

    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

    FINCORE LIMITED

    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.

  • Finworks - Data Mesh

    FINCORE LIMITED

    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.