预测的见解

预测的见解is a native Anaplan platform that gives users the ability to score and prioritize accounts in an intelligent data-driven way, based on machine learning models.

Datasets are the key building block of Predictive Insights. Each dataset is a collection of data that represents customers and prospects. This list of accounts is used for scoring and enrichment of models.

A Predictive Insights model is a model which was trained by the Predictive Insights machine-learning engine. The process in which a machine learning algorithm uses account information to detect patterns and relationships between attributes and customer or prospect accounts in a dataset to generate predictions for prospective accounts.

Run Predictive Insights actions to score and enrich account data and gain a better understanding of customers and prospects.

You can access activity logs for every object in Predictive Insights. This includes datasets, models, scoring and enrichment actions.

This document provides a list of system messages and follow-up actions, together with an explanation for the issue. These are organised by the type of action you are doing.