<p><p>The practice of business is changing. More and more companies are amassing larger and larger amounts of data, and storing them in bigger and bigger data bases. Consequently, successful applications of data-driven decision making are plentiful and increasing on a daily basis. This book will mot
Business Analytics for Technology Management
β Scribed by Sumit Chakraborty, Suryashis Chakraborty
- Publisher
- Business Analytics Research Lab India
- Year
- 2018
- Tongue
- English
- Leaves
- 300
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Deep analytics does not only mean statistics or data mining or big data analytics, it is a complex multi-dimensional analysis through β7-Sβ 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 nine technology innovations today: (1) solar power electronics, (2) AI enabled Smart grid, (3) IIOT for SCADA and industrial control system, (4) smart electrical and hybrid vehicles, (5) RailTech: security & safety, (6) Cancer prediction & prevention mechanism, (7) Biomedical instrumentation, (8) Artificial rainfall & cloud physics and (9) 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.). This e-book is the electronic version of the summary of edition 2 dated 15 Augustβ2018; Price: $250 (per copy). This 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.
Thanks and regards.
Sumit Chakraborty, Fellow (IIMC), Bachelor of Electrical Engineering (JU)
Suryashis Chakraborty
Business Analytics Research Lab, India
15.08.2018
β¦ Table of Contents
Serial no. Book Chapters Page no.
Part I
1 Deep analytics
for technology management - β7-Sβ 4
Part II : Energy & Transportation
2 Solar power electronics 29
3 Smart grid : Green IS, AI& self healing mechanism 67
IIOT enabled SCADA & ICS: Advisary model & threat analytics 87
4 Smart electrical & hybrid vehicles 134
5 RailTech: Security & Safety 157
Part III : Healthcare
6 Cancer prediction & prevention : Deep learning 180
7 Bio-medical instrumentation & technology diffusion 240
Part IV : Earth Science β Water, Space
8 Artificial rainfall, cloud physics
& collaborative resource sharing 263
9 Real-time moving target search & astronomical hazards 283
10 Conclusion 300
β¦ Subjects
Business Analytics, Technology Management
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