Delivering Targeted Ads and Communications to customers in real time using Big Data Algorithms.

The customers interact with various sales channels like website, call center, field sales force and mobile applications.

Each channel generates big volumes of data on customer interactions, in varieties such as

1. Web clickstream data which is semi-structured and contains data on visitors, segments, traffic sources, user navigation, abandons, bounces, conversions like purchases or leads, etc.
2. Call center data which is a mix of unstructured such as customer feedback and structured such as transactional data.
3. Sales force data which again is a mix of unstructured such as customer feedback and structured such as transactional data in CRM.
4. Mobile data which is semi-structured in form of weblogs, clickstream, applogs and contains data on visitors, locations, user navigation, abandons, conversions, etc. 

All these varieties of data, both data at rest and in motion are continuously stored into HDFS big data landing zone on the Big Data Refinery built using Apache Hadoop architecture.

Targeted online Ads (Web and Mobile Web) and targeted marketing communications are delivered across the WWW for each customer’s profile.

1. Customer profiles have been built and stored in HDFS, based on all their interactions across different channels.
2. Algorithms, using map-reduce programming method are executed by the Big Data Refinery to churn out targeted online Ads (Web and Mobile Web) and targeted marketing communications in real time.

Targeted and Re-targeted content (Ads and marketing communications) are viewed and interacted with by customers while browsing across the WWW. 


Signature: Roopkumar T.V.