Business Analytics for Top Technology Innovations
Sumit Chakraborty
About the Author
Sumit Chakraborty,
Fellow of Indian Institute of Management Calcutta, India
About this E-book
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:
- Solar power electronics,
- Electrical and hybrid vehicles,
- Smart grid,
- IIOT for SCADA and industrial control system,
- Biomedical instrumentation,
- Cancer prevention mechanism,
- Artificial rainfall & cloud computing and
- 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 ebook 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.
Table of contents
Part I
1 Deep analytics for technology innovation management
Part II
2 Solar power electronics : Deep analytics
3 Electrical & hybrid vehicles : Deep Analytics
4 AI enabled smart grid : Deep Analytics
5 IIOT, SCADA & ICS
Part III
6 Cancer prevention mechanism : Deep learning
7 Bio-medical instrumentation challenges
Part IV
8 Artificial rainfall, cloud physics & collaborative resource sharing
9 Real-time Search for astronomical hazards
10. Conclusion
Length: 256 pages
Publisher: Business Analytics Research Lab, India; 1st ed. 2018 edition (July 24, 2018)
Language: English