James Chen

James Chen

Bio: Engineer by training. Analytics by passion. R addict who hacks and decodes data for marketers.

Data Science x Project Planning

Data Science x Project Planning

A non-technical guide to k-NN algorithm and its application on forecasting, from a project planning point of view, and for beginners. Introduction The intended audience for this short blog post are data science practitioners who seek to implement predictive algorithms in a business-project-based setting, with special focus on presenting the work process flow. We will […]

Which customers are more likely to respond to bank’s marketing campaigns?

Which customers are more likely to respond to bank’s marketing ...

A quick demonstration on business consulting with data science Audience The intended audience for this blog post is marketers who have read the earlier post on 5-step data science consulting framework, and are keen to learn more about the actual implementation of such projects. We will be using the caret package in R as a quick demonstration. Overview The data set […]

Bridging the Digital Gap between B2B and B2C Marketing with Big Data

Bridging the Digital Gap between B2B and B2C Marketing with Big D...

Forget funnels. Be user centric. Be human centric. ‘It’s no longer “digital marketing,” but marketing in a digital world.’  — Keith Weed, CMO at Unilever. With the blooming of Big Data in recent years, there are a number of success stories in business, particular in B2C companies who engage with consumers directly in their everyday lives. One of the […]

Solve Business Problems with Data Science

Solve Business Problems with Data Science

A generalized framework to data-driven consulting projects   Overview Here we propose a general framework to solve business problems with data science. This 5-step framework will not only shed light on the subject to someone from the non-technical background, but also allow data enthusiasts to consistently deliver quality results in a timely manner. First we […]