Putting the "Science" Back in Data Science

If you start your data analysis by simply stating hypotheses and applying Machine Learning algorithms, this is the wrong way. In a few words, I studied the past 27 years of Business Management literature and I tried to develop an epistemologically disruptive approach to measure and predict service quality, mixing Business Administration with Electrical Engineering concepts. Ah, profit call be predicted using Deep Neural Networks using data from Market Research, Financial Data and word embeddings from Social Media as features! So, the SCIENCE in Data Science is not only about Machine Learning, Deep Learning, Natural Language Processing, A.I.