Intended audience: end-users data science developers
AO Easy Answers: 5.0
Overview
The Clustering Insight can only be generated as a scheduled task created by the Solution Developer using the Insight Composer in the AO Platform. The output from the generated Quick Insight will be added to the Insights page in Easy Answers.
Generating a Clustering Insight involves using unsupervised machine learning to group similar data points, revealing natural patterns without pre-defined labels. This technique is applied across various sectors to drive strategy and efficiency.
Purpose
Use unsupervised machine learning to group similar data points into clusters, revealing natural patterns and segments without pre-defined labels.
Business Example
Businesses group customers by purchasing habits, demographics, or preferences to create tailored marketing strategies. For example, an e-commerce platform might identify "high-value repeat buyers" versus "occasional bargain seekers" to personalize promotions.
Scenario
A company wants to identify distinct customer segments based on demographics and purchasing behavior to personalize promotions and improve targeting.
Results
Clustering reveals natural groupings such as "high-value repeat buyers" versus "occasional bargain seekers", enabling targeted strategies for each segment and improving decision-making across marketing, operations, and resource allocation.
Infographic Insight
-
Infographic Card showing two Clusters
Full Story Insight
-
Clusters for [MSO_name] - Parallel Coordinate Chart
-
Clusters - Table
Numerical values in Feature columns represent averages, whereas the Categorical values in Feature columns represent the dominant value for the clusters.
Contact App Orchid | Disclaimer