Customer Analytics

Customer insight with analytics in the Bluemix Cloud

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Recently, I discovered how to take advantage of Big Data & Analytics services available in the Cloud by pairing them with customer profiles, demographics, and behavioral data for customer insight. These services help improve segmentation and customer targeting for marketing and customer engagement solutions. For example, I was able to start working with R language analytics scripts and R Studio to analyze telecom industry customer churn based on existing data.

The dashDB service (formerly Analytics Warehouse) in Bluemix provides an environment for developing, debugging, and testing analytics applications in R, Excel, and Cognos. To explore the telecom scenario further, I deployed it to a production Bluemix analytics warehouse environment in dashDB, with customer data loaded into a data warehouse table and the deployed R analytics script modified to use the data from the warehouse.

I created a guide detailing how to use R Studio to work with this example script of R analytics. In it, I also walk through running and testing the script. I generated analytics reports and plots before deploying the analytics script and associated customer data to the dashDB data warehouse. The guide also includes a list of resources to get started with R analytics and the dashDB data warehouse service.



The dashDB analytics warehouse service also includes built-in sample analytics scripts for customer insight, demographics and visualization.




Last week, the Analytics Warehouse service is now dashDB. The name change reflects a major update in capabilities. With dashDB, developing analytics solutions using R, Excel, and Cognos has become even easier. It also integrates geospatial analytics in-database for fast processing of datasets and tight integration with Cloudant. Be sure to check it out!

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