Beacon™ enables data scientists and consumers to discover, manage, and use data sets for analytics in a shared space. It automates how users find and aggregate data sets, collaborate to create data science models and algorithms, and build visualizations and applications for customer use. Teams work with complex data sets securely, customize roles and permissions, and connect to data using third-party tools.
Beacon™ can share the entire data assets of an organization, including synchronization with metadata, data profiling, data dictionaries, and data usage and license agreements. Partner programs can enable automatic discovery of new data sources.
Model Development and Analytics
Beacon™ offers a single location for accessing data and facilitating model development, version control, collaboration, monitoring, and auditing. Users can develop, train, test, and deploy models. Beacon™ serves as a platform for deploying out-of-the-box analytic tools in addition to preparing and analyzing unstructured data.
Users can structure unstructured data and run further analysis on their results. Iris enables a deeper dive into data—with rapid, enterprise-scale pattern recognition of large data sets before visualization of data patterns for quick consumption and actionable responses. Operating in the cloud saves space on individual devices so users can work on other tasks simultaneously. The Beacon™ model development and analytics platform can then use Iris data outputs for additional data analysis.
Beacon™ tracks user tags, ratings, reviews, and comments; assigns roles and permissions to users who choose to receive email and in-app notifications of data sets; and customizes dashboards to group or project specifications.