Feroz D Silva
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Feroz has close to two decades of experience in customer relationship management. He has consulted businesses across the globe in their CRM strategy and processes. He was instrumental in setting up the Customer Intelligence practice for SAS India, the leader in analytics. He loves experimenting with adoption of practices and principles from fields such as theology, philosophy, mythology to the statistical processes. His strong belief in the "keep it simple, stupid" paradigm has helped his customers gain benefits from adopting analytics in a comfortable and controlled manner. He is a graduate in Statistics and a MBA in Marketing.

Part 5: Applying Customer Life Stage model to Customer Relationship Management

This is the concluding article to the series on Customer Life Stage Model. It is coming after a long time from the last article. Some medical issues in the family had taken me away. Hopefully, things have stabilized for the…

Part 4: Detailing each cell

This is the fourth part in a series of articles on Customer Life Stage modelling. The first part defined the term Customer Life Stage Model (you can read it at http://analyticsindiamag.com/part-1-customer-life-cycle-a-misleading-term/ ). The second part attempted to create a 3 dimensional model…

Part 3: Traversing the Customer Life Stage

This is the third part in a series of articles on Customer Life Stage modelling. The first part defined the term Customer Life Stage Model (you can read it at http://analyticsindiamag.com/part-1-customer-life-cycle-a-misleading-term/ ). The second part attempted to create a 3…

Part 2: Creating the Customer Life Stage model

This is the second installation in a series of articles on Customer Life Stage modelling. The first article has been published at http://analyticsindiamag.com/part-1-customer-life-cycle-a-misleading-term/ . In the earlier article, I highlighted the difference between Customer Life Cycle and Customer Life Stage.…

Part 1: Customer Life Cycle – A Misleading Term

CYCLE: noun: A series of events that are regularly repeated in the same order. The above is how the term “cycle” is defined by the Oxford Dictionary. In the biological arena, cycle is defined as: “A recurring series of events…

The concept of decision support is over hyped

Business people often expect that the analytics system will take the decision and they just need to act on it. The analytics team creates models that generate a score indicating the likelihood for a certain event. They expect the business…

The Karma of Analytics

The Buddhist philosophy around karma revolves about the law the moral causation. This is defined by Buddha’s statement “We are the heirs of our own actions.” This principle is very apt for the world of predictive analytics. Once I was…

Lessons from the Outliers

A typical data mining project starts off with visual exploration of each variable. The objective is to identify the distribution of the variable. Once, a distribution is identified, the next step is to identify the outliers. These would be those…

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