E-Book Overview
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 book presents a deep analytics model through a consistent and systematic approach and highlights its utility and application for reasoning ten technology innovations today: (1) solar power electronics & Nanotechnology, (2) Electrical and hybrid vehicles : smart batteries , (3) RailTech: DAS, security & safety, (4) Emerging digital technology, (5) Solar computing : Self-healing mechanism for a smart grid, (6) Information Security Intelligence (ISI) Analytics : Adaptive security and dynamic data protection for IIOT, SCADA & ICS (7) Cancer prediction & prevention mechanism: deep learning, (8) Biomedical instrumentation, (9) Artificial rainfall & cloud physics and (10) Real-time moving target 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 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. We are excited to share the ideas of deep analytics with you. We 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 deep analytics in various academic programmes of various Business Management programmes (e.g. Technology Management, Information Technology, Information Systems, Management Information Systems (MIS), Strategic Management and Analytics for BBA, MBA, PGDM, PGDBM) and also Electrical and Electronics Engineering (e.g. B.Tech, M.Tech, B.E.E., M.E., Ph.D.).
Thanks and regards.
Sumit Chakraborty, Fellow (IIM Calcutta), Bachelor of Electrical Engineering (JU)
Suryashis Chakraborty
Business Analytics Research Lab, India
E-Book Content
Business Analytics: Technology for Humanity 3rd Edition, 2019 By Sumit Chakraborty Suryashis Chakraborty
Deep
Solar
Analytics
Power Electronics & Nanotechnology
Solar Computing : Self-healing Smart Grid
Biomedical Instrumentation
Information Security Intelligence
Analytics: :
Adative Security & DDP
Smart Electrical & Hybrid Vehicles, RailTech, DAS
Cancer : prediction & Prevention Deep Learning
Artificial
Astronomical
Rainfall : Laser,
Hazards : Real-time
Cloud Physics
Moving Target Search
Reference of document: EBOOK/ SCHAKRABORTY/BA/ V3.0/15082019
Page 1
Preface Deep analytics does not only mean statistics or data mining or big data analytics, it is a complex multidimensional 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 book presents a deep analytics model through a consistent and systematic approach and highlights its utility and application for reasoning ten technology innovations today: (1) solar power electronics & Nanotechnology, (2) Electrical and hybrid vehicles : smart batteries , (3) RailTech: DAS, security & safety, (4) Emerging digital technology, (5) Solar computing : Self-healing mechanism for a smart grid, (6) Information Security Intelligence