Apache Tools, Hadoop Get Added to Manthan's Customer-Centric Analytics

Manthan, which specializes in Big Data and analytics for retailers and other businesses has overhauled its Customer Marketing solution for Hadoop, adding data management, auto-scale and real time computing capabilities to its existing analytics arsenal. Manthan also has an interesting infographic out on the "consumerization of analytics."

Manthan's Customer360 is its customer-analytics platform, with many different kinds of analytics capabilities. Now, it has processes optimized for Apache Spark, and is targeting marketers in need of advanced analytics.

According to Manthan:

"Customer360 is the fastest approach to monetize your Big Data. The pre-packed analytical algorithms, customer data model, mining engines and ready to go configurations for Hadoop enables marketers and analysts to begin running algorithms on large data sets within a few hours."

"Customer360 manages all aspects of data on-boarding and aggregation. The data integration engine consumes data in batches or real time into a data lake. A transformed data lake is created by cleaning, harmonizing and linking with identifier across different source systems. The Transformed data lake also serves data for the customer analytics data mart, which powers interactive analysis and reporting needs. Statistical algorithms can tap into the transformed data lake for predictive and prescriptive analytics."

"The meta data layer provides a common definition for the business metrics and access control to the data across different layers."

 In addition to Spark processes, Customer360 also now leverages Apache Kafka for real-time data tracking capabilities.

You can find out more about how Customer360 takes advantage of powerful open source Big Data tools here.