Business Analytics Technology for Humanity

Description

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 Serial no. Book Chapters Part I 1 Deep Analytics – Technology for humanity Part II : Energy & Transportation 2 Solar power electronics & Nano solar cells : Dominant design and technology diffusion moves 3 Smart electrical & hybrid vehicles : Smart batteries & charging mechanism 4 RailTech: Driver Advice System (DAS), Security & Safety Part III :Emerging Digital Technology 5 Solar Computing : Self-healing mechanism for a smart grid 6 Information Security Intelligence (ISI) Analytics :Adaptive Security & Dynamic Data Protection for IIOT & SCADA Part IV : Healthcare 6 Cancer prediction & prevention: Deep learning, Genomics & Precision medicine 7 Bio-medical technology for cancer care : Surgical robotics, laser, pervasive & wearable computing Part V : Earth Science – Water, Space 8 Artificial rainfall : cloud physics, Laser & collaborative resource sharing 9 Astronomical hazards : Real-time moving target search 10 Conclusion