Business transformation with a visitor funnel

How can businesses enhance net contribution? That’s a difficult question for any business to answer effectively.

Arup Nanda explains how combining multiple data elements, businesses, and systems and charting visitor drop-offs, along with A/B testing—using Cloudera, Airflow, and machine learning with regression and classification models—has allowed Priceline to redefine its business, change product design, and offer incentives to customers.

Topics include:

• How Priceline used the Cloudera platform to consolidat data
• How Priceline created its own tool on Airflow to engineer the data movement and transformation
• How Priceline moved A/B testing data to the cloud
• How Priceline moved machine data to a data lake using Kafka
• How Priceline created visualizations and analyses using Tableau
• How Priceline developed machine learning models to predict the interaction of all three components to create an early-warning process
• How Priceline transformed its business by deeply analyzing where visitors fall off the funnel—and the contributing factors