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Enabling Customer Engagement

Improve/re-design customer loyalty program in order to improve user experience


  • They wanted to improve/redesign the Customer Loyalty program in order to improve user experience
  • They had a huge amount of data in various formats from multiple sources including website clickstream data, customer data from relational databases, data from brick and mortar stores and social media data from Twitter and Facebook
  • They were facing scalability issues while managing the large volumes and varieties of data with the existing process.
  • It needed to build a scalable solution to manage and exploit the growing data



  • Helped them in setting up the low-cost storage – highly available infrastructure on Hadoop environment
  • Implemented a data lake on Hadoop Cluster for different apps to store and consume data
  • Used Hortonworks Data Platform 2.4, which pulls the data from multiple formats including semi-structured, unstructured and relational data and stores the same as or files in HDFS
  • Built real-time analytics data pipeline as well as designed workflows using Oozie with a combination of Pig, Hive and Python scripts to perform various actions around data cleaning, storage, and notifications
  • Secured data lake with Kerberos authentication, defined authorization and auditing with a comprehensive set of rules managed using Ranger

Tools & Technologies

Hadoop, Hive, Oosie, Hortonworks, Hive

Key benefits

  • Ability to hold a diverse mix of structured, unstructured and semi-structured information, which was integrated for ready consumption
  • Faster data processing and reporting
  • Easy to maintain and highly available Hadoop infrastructure with notifications and review
  • The mechanism in place Single system for both storage and processing
  • Better control over system resources allocation among various applications