Predictive Enquiry

education

Client challenges

Project scope

Our Client is a leading Indian Multinational company that offers learning management and training delivery solutions to corporations, institutions, and individuals. They wanted to build a statistical model for prediction of inquiry to registration.

Solution

Logistic regression

Datametica implemented basic logistic regression to predict the number of desk, online inquiry into actual registration. The factors considered were demographics, course area, region, and price/discount. Our Approach was a data-driven way and demonstrated higher accuracy with our solution.

Models

Datametica is also planning to build the following models:

  • Course Recommendation Model.
  • Dropping out Prediction Model.
  • Feedback Analytics (includes text classification & Topic Modularization/Summary).

Models

  • Correlation between Course characteristics with job success.
  • Course popularity based on features like duration, fees, content etc.
  • Integration of CRM Data.

Benefits

customer360
Customer preferences

Facilitates in understanding the customer preferences / demands and provide vital information for prediction

devops
Patterns

Understands the geography wise usage / demand patterns

tracking
Analysis

Allows the marketing team to analyze effectiveness of the promotions

thumbsup
Productive design

Allows the marketing team to analyze effectiveness of the promotions

mail
Targeted interaction

Facilitates design of more productive campaigns/promotions

growth
Better sales

Facilitates upsell and cross-sell

devops
Data-driven

Fully data-driven enterprise

scalability
System

Robust, scalable and reliable system

tracking
Trends & Insights

Facilitates prediction of trends and drives actionable insights

magic
Tools / Technologies
  • Data management gateway
  • Data Copy
  • HDInsights
  • AML
  • Document DB
  • PowerBI
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