Azure Machine Learning: Understanding Behaviors That Lead to Customer Retention
The Microsoft Azure End to End platform team is invested in identifying an efficient way to steer revenue growth prospects and to further improve user experience as well as increase the customer retention rate. Our project involved the data validation, data quality check, metric definitions and automated pipeline building. Our analysis serves as a foundation towards data-driven decision making for customer retention. The result can be utilized to monitor the user behavior and performance in real time to provide the better service and garner customer loyalty.
Project sponsored by: Microsoft
Project participants:
Shreya Kuruvilla
MSIM
Shu-Wen(Jane) Juan
MSIM
Sneha Nair
MSIM
Lilian Mburu
Informatics