DataCanvas BAP

Full-process, One-stop, Zero-threshold

DataCanvas BAP business AutoML platform is a fully process, one-stop, zero-threshold artificial intelligent analysis and decision-making system based on DataCanvas' technological achievements in the field of machine learning. It meets the modeling needs of various roles within the enterprise (business specialists, operational analysts, algorithm experts), allowing them to build personalized models for predictive and attribution analysis, promoting the applications of scenarios in marketing, risk control, operations and other business lines, empowering business decision-making.

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Product Values Advantages Applications White Paper Success Cases

Product Values

Efficient

Full process automation processing capabilities
Complete feature library function
Zero-code, visual feature processing capabilities
Feature asset precipitation and sharing window

High-yield

Zero-threshold scenario modeling capabilities
Scene library improves AI application efficiency
Conduct business-level management of scenarios
Realize the agile empowerment of business by AI

High-value

Pioneering integration of expert experience into model training
Make human experience and machine learning mutually corroborate and enhance each other

Advantages

Zero-threshold scenario modeling

A simple and fast three-step modeling mode for business specialist
A standard mode of whole process wizard modeling for analysts
Open high-level parameters for code modelers to customize modeling
Powerful automatic modeling engine

Provide full process automatic processing capability
Modeling efficiency increased by more than 80%
Solve 4 classic problems of automatic machine learning
Complete feature library function

Including feature governance, development, and analysis
Provide feature system design and mounting functions
Provide zero code and visual feature processing for business specialist
Characteristic asset precipitation and sharing eliminate data chimney
Interpretable modeling

White box AI model, improve the model's business capability
Open the AI black box and improve model business capabilities
Globally interpretable, explaining the impact of each feature on the model through diversified analysis
Local interpretability, explaining prediction results for single samples
Combining expert experience with machine strategy

Integrating expert experience into the modeling process
Create personalized customer groups for business attribution analysis
Rich analysis capabilities and visual analysis conclusion reports
Precise management and control of data, resources and permissions

Multi-tenant management, and dynamic initialization functions
Resource management for individual data analysis or modeling tasks
Realize resource isolation and data isolation between tenants
Intelligent operation and maintenance monitoring

Operation and maintenance closed loop from alarm rule setting, automatic inspection, automatic alarm to alarm processing
Built-in alarm rules based on the experience of O&M experts significantly reduce the O&M threshold