Advanced International Business Analytics
Discover how to optimize management decisions in a global business context

8 Weeks programme

Contact hours: 48 hours

  • Conceptual Learning
  • Hands-on Learning
  • Projects/ Assignments
  • Case studies/ Use cases
Programme Objectives
The “Advanced International Business Analytics” programme has been designed & developed with the objective to inculcate in participants fundamental as well as advanced concepts of International Business & Trade, together with the role that the niche & emerging discipline of Analytics can play in the context of cross-border trade.
The programme lays the foundation of international business & trade fundamentals, apart from the applications of analytics concepts necessary to operate in such a cross-border setting. The programme blends academic curricula with real-world illustrations to ingrain in participants the knowledge of major business functions, as applicable in a cross-border context, apart from providing a first-hand exposure to popular applications of high-end business analytics techniques.
Who should go for the Programme?
The “Advanced International Business Analytics” programme has been designed & developed to cater to the requirements of professionals & middle managers in the business of international trade. The programme is also of significant value to professionals & middle managers in business analytics who wish to expand their horizons to include cross-border trade.
For professionals who intend to take-up decision-making roles in their organizations and champion various strategic initiatives with respect to the niche & emerging area of Analytics, the programme would help in understanding, analyzing & interpreting data to facilitate further decision-making.

Key Takeaways

  • Develop awareness of advanced concepts in international trade, finance, marketing, strategy,
    and logistics & supply chains, when applied to the context of cross-border businesses
  • Appreciate how Analytics can help manage their international businesses better
  • Identify the scope of Business Analytics in various business domains
  • Articulate powerful high-end Analytics techniques readily applicable for their business domains
  • Discover key Analytics methodologies & frameworks available across various business functions
  • Lead/ Guide business analytics initiatives in their businesses

Learning Mode

Curriculum Overview

Overview of the Programme
International Business & Trade
Business Analytics
Concepts in Int'l Economics & Trade
Concepts in Int'l Marketing & Strategy
Concepts in Int'l Finance
Concepts in Int'l Logistics & Supply Chain Management
Advanced Concepts in Int'l Economics & Trade
Advanced Concepts in Int'l Marketing & Strategy
Advanced Concepts in Int'l Finance
Advanced Concepts in Int'l Logistics
& Supply Chain Management
Introduction to Big Data Analytics
Applications of Big Data Analytics
Map Reduce concepts
Hadoop – an overview
Big Data in a cross-border context
Pig – an overview
Hive – key concepts
Visual Analytics – Concepts, Applications & Tools
Working with different data types
Characters, Numeric, Dates
Designing Tables, Charts & Graphs
Working with Filters
Designing Dashboards
Creating/ Publishing Dashboards
Drill-downs with Dashboards
Story-telling with Dashboards
Getting introduced to the business problem
Overview of the analytical framework
Understanding the constraints & challenges
Analytics in action – real-world illustrations
– an Analytics-based approach
Understanding the business context
Discover the design & specifications challenges
in a cross-border context
Overview of the analytical framework & methodology
Analytics in action – real-world illustrations
Statistical Process Control – key concepts
Key Metrics
– unravelling the science behind process control
Understanding challenges unique to cross-border trade
Analytics in action – real-world illustrations
Six Sigma – key concepts
Understanding the analytical framework
Discovering the applications and business
benefits in an international context
Analytics in action – real-world illustrations
Getting introduced to Optimization in decision-making
Discovering the nuances peculiar to int'l operations
Overview of the analytical framework
Analytics in action – real-world illustrations
Appreciating the challenges & constraints
with real-world unstructured data
Text Mining – concepts & applications
Overview of the analytical framework & approach
Analytics in action – real-world illustrations
Social Media analytics – nuances in an int'l context
Text Mining – advanced concepts & applications
Advanced Analytics with Social Media
Analytics in action – real-world illustrations
Balanced Scorecard – key concepts
Business Intelligence – key applications
Management Perspectives in int'l business & trade
– Analytical models
Getting introduced to the business problem
Understanding the analytical framework
Popular Interest Rates prediction models
Analytics in action – real-world illustrations
– Analytical models
Understanding the business context
Getting introduced to the analytical framework
Popular Foreign Exchange Rates prediction models
Analytics in action – real-world illustrations
Setting the context – Understanding the problem
Overview of the analytical framework
Appreciating the challenges & constraints
Analytics in action – real-world illustrations
Overview of the business problem
Discovering the data requirements & challenges
Predictive modelling – Understanding the approach
Analytics in action – real-world illustrations
– an Analytics-based approach
Understanding the business problem
Unravelling the analytical framework & approach
Discovering the science behind decision-making
Analytics in action – real-world illustrations
Setting the context – Understanding the problem
Getting introduced to the analytical framework
Discovering the data challenges & constraints
Analytics in action – real-world illustrations
– an Analytics-based approach
Understanding the backdrop to the business problem
Getting introduced to popular global trade databases
Unravelling the analytical approach & framework
Analytics in action – real-world illustrations

Are there any Learning Pre-requisites?

There are no specific learning pre-requisites for the programme. Effectiveness of learning through the programme would be enhanced if participants possess good logical & analytical reasoning skills.
In order to further enhance the efficiency & effectiveness of participants’ learning, it is desirable (though not mandatory) that participants have studied, at the graduate or 10+2 level, either of Mathematics, Engineering Mathematics, Business Mathematics, or Mathematical Economics.

MEET Our Consultants & Faculty

Dr. Nidhan "Neal" Choudhuri

Ph.D. (Statistics), Michigan State University.
B. Stats. & M. Stats., Indian Statistical Institute, Calcutta.
Ex-Chief Scientist & Founder, PlanetRisk Inc, Bethesda, US.
20+ years of industry exp. with Morgan Stanley, Barclays Capital etc.

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Mr. Aditya Biswas

B. Tech. (Mechanical) & M. Tech (Industrial Engg. & OR) IIT, Kharagpur.
Ex-Principal Consultant in TCS, Head of IT in Allahabad Bank.
Specialized in Process Optimization, R & D and Management Consulting.
30+ yrs of industry exp.

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Somnath Sinha

B.Tech. (Electrical Engg), IIT Bombay.
PGDM, IIM Calcutta.
20+ yrs with IBM as IT Services Leader, CIO, HR Director &s Director, Integrated Operations.
Partnered with Accenture, IBM, PwC, KPMG, E&Y, etc.
30+ years of industry exp.

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Prof. B. B. Chakrabarti

Ph.D. in Economics, Gold Medalist PGDM, IIM Calcutta.
Gold Medalist - BE, Jadavpur Univ.
20+ yrs as a Renowned Prof of Finance at IIM Calcutta.
24+ years of Industry experience with United Nations, Deustche Bank etc.

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