Pharma
Customer segmentation
CHILE | 3 MONTHS
Key Technologies
INDUSTRY
ANALYTICS
AZURE MACHINE LEARNING
AZURE DATA FACTORY
AZURE SQL
CUSTOMER SEGMENTATION
01
THE CHALLENGE
The client wanted to improve their business strategy and make more effective by implementing a Client Segmentation analysis to closely align their strategy and tactics, and better target, their customers.
myCloudDoor developed a Clustering Machine Learning model using KNN algorithm to divide the customers into segments based on common characteristics found in the EDA phase.
02
THE SOLUTION
03
THE RESULT
A deep understanding of Customer Data by implementing a thorough Exploratory Data Analysis (EDA) and segmenting the customers using a Machine Learning model.
CUSTOMER SEGMENTATION
01
THE CHALLENGE
The client wanted to improve their business strategy and make more effective by implementing a Client Segmentation analysis to closely align their strategy and tactics, and better target, their customers.
02
THE SOLUTION
myCloudDoor developed a Clustering Machine Learning model using KNN algorithm to divide the customers into segments based on common characteristics found in the EDA phase.
03
THE RESULT
A deep understanding of Customer Data by implementing a thorough Exploratory Data Analysis (EDA) and segmenting the customers using a Machine Learning model.
