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International Business Analytics
Learn the nuances of applying analytics in the context of cross-border business and trade

8 WEEKS PROGRAMME

Contact hours: 48 hours

  • Conceptual Learning
  • Hands-on Learning
  • Projects/ Assignments
  • Case studies/ Use cases
Programme Objectives
The “International Business Analytics” programme has been designed & developed with the objective to inculcate in participants requisite concepts of International Business & Trade, together with the role that the niche & emerging discipline of Analytics can play in quantitative analysis based decision making the context of cross-border trade. The trading can be import and/ or export oriented. In today’s world, any MNC including the IT / ITES organization or the established players in any industry vertical having its cross boarder manufacturing units or offshore development centre (e.g. software) or captive R&D centre needs to take various critical decisions under uncertain circumstances. That is why analytics based decision making will help them take more informed decisions. 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 of both international traded as well as quantitative analysis along with real-world analytics based case studies and/ or use cases. Hence, apart from the knowledge of major business functions, as applicable in a cross-border context, a first-hand exposure to popular applications of high-end business analytics techniques will be shared.
Who should go for the Programme?
The “International Business Analytics” programme has been specially designed & developed for the professionals & middle managers (both technical as well as functional) in any MNC, import house or export house or in the business of any kind 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 analytics.
  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 International Business Analytics or International Trade Analytics, the programme would help in understanding, analyzing & interpreting data to facilitate further decision-making.

Key Takeaways

  • Develop concepts in international trade, international finance, international strategy & marketing, Human Resource management in the context of cross boarder operation, and international logistics & supply chains, when applied to the context of cross-border business needs
  • Articulate powerful high-end Analytics techniques readily applicable for international business domains
  • Gain knowledge & expertize on BSC and generate important insights into the behaviour of business KPIs and influencers/ predictors for driving international business or trade intelligently
  • Acquire proficiency in creation of reports & charts, ‘story-telling’ dashboards through Tableau, QLIK Sense, SAP-Lumira – that make sense to the decision-makers

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
Interest Rate Prediction
– 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?

Effectiveness of learning of the said programme would be enhanced if participants have knowledge of micro and macro economics, exposure to business/ management functions (finance, marketing, HR, Supply Chain, etc.) as part of curriculum or while working in an organization.

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.

Management graduates/ post graduates meet all the criteria as mentioned above.

MEET Our Consultants & Faculty

Goutam Das

M. Tech. (Computer Engineering), IIT Kharagpur

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Dr Nidhan "Neal" Choudhuri

Ph.D. (Statistics), Michigan State University

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Debjani Bhattacharya

M. Phil, Jadavpur University, B.E. (Electrical Engg.), MN-NIT Allahabad

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Ankhi Mukhopadhyay

MBA, IBS, Mumbai, B. Tech. (Chemical Engg.), Univ. of Calcutta

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Amrita Saha

M.Sc.(Economics) Calcutta University

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Manodip Das Sarma

M.Tech (Intelligent Automation and Robotics) from Jadavpur University, Kolkata.

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