Developing Customer churn prevention Mechanisms
DEVELOPING CUSTOMER CHURN
PREVENTION MECHANISMS
About the Client
The client is a leading network solutions provider
Business need
The customer wanted ALTEN Calsoft Labs to do the following:
- Crunch and analyze the data from various sources starting from web click stream logs, social network data and transactions
- Come up with solutions to prevent customer churning in Banking and Insurance domain
Solution delivered
ALTEN Calsoft Labs’ Big Data team did the following to deliver the requested service on-time and within budget.
- Built a Data Ingestion layer with Flume for web logs, and third party APIs for Social Networking data
- Virtualized Hadoop platform for Big Data storage and joining
- Processed in a private data centre on VMware EXSI servers
- Integrated it with Data modeling layer with Mahout and R to do the customer segmentation, sentiment analysis
- Came up with customer churn prevention policies for individual customers
Business benefits
Hadoop platform is an open source platform, ability to run on commodity hardware with scalability and high availability at its core, offers the client to store and process massive data sets in a clustered environment.
Technology stack
- Platform: Hadoop
- File System: Hadoop Distributed File System
- Paradigm: MapReduce
- Hadoop Technologies: Pig, Hive
- Machine Learning Tools: Mahout
- JavaScript: Node.js, D3.js
- Language: R
- Big Data Tools: Lucene/SOLR, Flume
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