Best Data Collaboration Platforms for Mid Size Business - Page 3

ZinkML is an open-source data science platform that does not require any coding. It was designed to help organizations leverage data more effectively. Its visual and intuitive interface eliminates the need for extensive programming expertise, making data sciences accessible to a wider range of users. ZinkML streamlines data science from data ingestion, model building, deployment and monitoring. Users can drag and drop components to create complex pipelines, explore the data visually, or build predictive models, all without writing a line of code. The platform offers automated model selection, feature engineering and hyperparameter optimization, which accelerates the model development process. ZinkML also offers robust collaboration features that allow teams to work seamlessly together on data science projects. By democratizing the data science, we empower businesses to get maximum value out of their data and make better decisions.

Apheris is a platform designed to facilitate secure and private collaboration on distributed data for organizations while adhering to regulatory standards. By integrating the Apheris Compute Gateway with your data, machine learning and analytical computations are performed in situ, meaning the data remains in place and is never exposed or moved, thereby preserving its inherent value. This method effectively tackles issues related to data being isolated due to geographical constraints, regulatory requirements, or organizational limitations, as well as challenges posed by moving sensitive or expensive data. Unlike other solutions such as synthetic data, encryption, or data clean rooms that may undermine result accuracy, pose risks of data breaches, or lack the ability to scale, Apheris employs a federated approach. This allows for the development of models across extensive data sets without transferring any data, with a robust framework of governance, security, and privacy ensuring compliance with relevant regulations from the outset. Consequently, Apheris offers a powerful solution that enhances collaboration while safeguarding vital data assets.

The Adaptive Metadata Manager™ (version 10.0) consists of several highly customizable software components that equip organizations with the essential eight capabilities necessary for effectively managing and enhancing almost any data-centric business function. These essential capabilities include Data Lineage, Data Quality, Impact Analysis, Business Terminology, Traceability between Business and Technical aspects, Version Management, Workflow for Change Approval, Stewardship, and Automated Harvesting & Stitching. This product is constructed using a contemporary web application framework, allowing users to access its various modules through a web browser seamlessly. Additionally, features aimed at end-users, such as business glossary searches, can be conveniently integrated into desktop productivity tools like Microsoft Office and Outlook for easier in-document searching. Furthermore, this integration enhances user experience and efficiency, ultimately contributing to a more streamlined workflow.