Track: Big Data and Analytics

Abstract

We argue that the process of learning from the data (that is: Analytics and Machine Learning Algorithms) is more complex in Differentiators and Innovators compared to Cost Leaders (see Miles and Snow et. al. 1978). Given that the errors in prediction is as high as 80% on an average (see Google Pages), it is recommended that decision makers using Analytics need to be of Perceptive type (spend more time in analysis) and must avoid being Judgemental (see MBTI [4]) when the core company is following  Differentiation and/or  Innovation strategy. Also we show that decision makers in cost leaders need to far less perceptive. We further argue that Analytics applications are primarily done in PRODUCTION and FINANCE for cost leaders, and primarily done in MARKETING AND R&D for Differentiators and Innovators.

(Key Words: Analytics and Machine Learning; Strategy and Analytics Application Process)