Data Aggregation, Reporting, Workflow Integration Network
Welcome to Data Aggregation, Reporting, Workflow Integration Network (DARWIN), a high-performant library providing fast and customizable Data Modeling and Reporting capabilities for .NET Core.
At the heart, there is DARWIN Data Tensor Technology capable of processing generic data sets, with any number of (hierarchical) dimensions and value types. The Data Tensor can compute all nodes of the data hierarchy and supports any schema and dimensionality, making it incredibly versatile and powerful. With a user-friendly API, configuring the data tensor is effortless, enabling easy data management, and supporting custom allocation, aggregation, validations, and many other business rules.
Integrated to the Data Tensor, there is DARWIN Commenting Technology. While threads and comments can be open at any data level, the system automatically propagates across all parent and children dimensions making them visible to the data cell family. This enables different teams to collaborate on the same data, enhancing data quality through revisions, iterative corrections, and reviews. By fostering a collaborative environment, our tool ensures that your data is always accurate, reliable, and up-to-date.
This interactive web applications is made to showcase the functionalities of the DARWIN libraries. There is a playground page for testing and also the following examples taken from the financial industry sector with realistic data sets:
International Financial Reporting Standard - IFRS 17 ReportDigital Operational Resilience Act - DORA Report
For info please contact Andrea Muolo on LinkedIn or via email: and.muolo@gmail.com