Method, apparatus, and system for data analytics model selection for real-time data visualization

An apparatus comprising:

• at least one processor;
• and
• at least one memory including computer program code for one or more programs,
• the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,
• receive a business scenario s associated with an entity;
• determine a perturbation of raw data associated with the business scenario;
• select one or more algorithms to determine a predictive machine learning model to process the raw data based on the determined perturbation of the raw data;
• process the raw data using the selected machine learning model to generate business intelligence data associated with the business scenario;
• and
• generate a user interface to present at least a portion of the business intelligence data on a device.

A non-transitory computer-readable storage medium carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to at least perform the following steps:

• receiving a business scenario s associated with an entity;
• determining a perturbation of raw data associated with the business scenario;
• selecting one or more algorithms to determine a predictive machine learning model to process the raw data based on the determined perturbation of the raw data;
• processing the raw data using the selected machine learning model to generate business intelligence data associated with the business scenario;
• and
• generating a user interface to present at least a portion of the business intelligence data on a device.