Business Analytics for Top Technology Innovations

Deep analytics does not only mean statistics or data mining or big data analytics, it is a complex multi-dimensional analysis through ‘7-S’ model based on rational, logical and analytical reasoning from different perspectives such as scope, system, structure, staff-resources, skill-style-support, security and strategy. This e-book presents a deep analytics model through a consistent and systematic approach and highlights its utility and application for reasoning seven technology innovations today: (1) solar power electronics, (2) electrical and hybrid vehicles, (3) Smart grid, (3) IIOT for SCADA and industrial control system, (4) Biomedical instrumentation, (5) Cancer prevention mechanism, (6) Artificial rainfall & cloud computing and (7) Real-time search for astronomical hazards. The reality is that every stakeholder is impacted by the challenges and opportunities of innovation ecosystems today. The concept of deep analytics is still relatively new; it has now emerged as a powerful tool for business analytics and a real world theme in the modern global economy. The target audience of this e-book includes academic and research community, corporate leaders, policy makers, administrators and governments, entrepreneurs, investors, engineers, producers and directors interested in production of documentary films, news and TV serials. I am excited to share the ideas of deep analytics with you. I hope that you will find them really value adding and useful and will share with your communities. It is a rational and interesting option to teach business analytics in various academic programmes of Electrical and Electronics Engineering (e.g. B.Tech, M.Tech, B.E.E, M.E., Ph.D.) and also business management (e.g. Technology Management, Strategic Management and Analytics for BBA, MBA, PGDM, PGDBM). This e-book is the online version and the summary of the original draft, Edition 1 dated 24. 07. 2018: published by Business Analytics Research Lab, India; Price : Rs. 10,000 (per copy of online version). This e-book contains information obtained from authentic sources; sincere efforts have been made to publish reliable data and information. Any part of this book may be reprinted, reproduced, transmitted or utilized in any form by any electronic, mechanical or other means, now known or hereafter invented, including photocopying, microfilming and recording or in any information storage or retrieval system with permission from relevant sources. Sumit Chakraborty Fellow (IIMC), Bachelor of Electrical Engineering (JU), Business Analytics Research Lab, India 24 July,2018