Customer Analytics

Get critical customer insights

Omni-channel customer interactions provides huge chunks of customer data to the organizations, however, most of the companies struggle in leveraging this data to their advantage.

With its advanced analytics expertise, TransOrg Analytics integrates disparate data systems for effective collaboration and enterprise-wide visibility to deliver critical customer insights improving customer acquisition, accelerating customer engagement, retaining profitable customers and optimizing business operations.

What We Do

Stitching Data and Feature Engineering
Unify data from multiple sources to create a single source of truth
Convert unstructured data into structured data
Engineer new variables for precise insights banking upon TransOrg’s prior experiences
Model Building
Develop ML models for customer acquisition, retention, engagement, cross-sell, up-sell, CLTV tracking and many more
Using NLP techniques to understand customer sentiments, product and or service quality perception, brand loyalty and other tough-to-quantify business insights
Model Review and Feedback
Review and compare models using train test approach
Build automations in output based on self–learning models
Solution integration
Integrate solution with existing on-prem or on-cloud infrastructure using native models, data and process orchestration layers and augment it with necessary data science capabilities and insights.