K2G BOX Solution is a demo environment for working with large datasets and analytical models. It’s designed for analysts and data scientists who need a structured way to create, test, and maintain models on real or synthetic data.
Modeling and dataset workflows
The Models area shows available model instances with key metadata such as versions, creation dates, and status. You can create new models, update existing ones, and run rules. The demo includes insurance-focused examples built on synthetic datasets, which helps validate workflows without using real personal data.
Talk-to-data and data preparation
The interface includes a Talk-to-data mode for conversational work with data. Users can ask questions in natural language and receive data samples or calculations. There are also dedicated sections for:
- Data cleaning
- Data enrichment (Enrichment) to prepare datasets before modeling
Monitoring, reporting, and KPI forecasting
The demo highlights modules for Reporting, Monitoring, and KPI Forecast. They are intended for generating reports, tracking model health, and forecasting key metrics. Some features are marked as PRO and are not active in the demo, but the interface structure shows the intended end-to-end workflow.
