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. Goutam Das

Dr. Goutam Das

30+ years of industry experience across multiple sectors including Finance, Energy, Telecom, Retail, Media, Manufacturing & Automobiles.

Read More
Prof (Dr.) B B Chakraborty

Prof (Dr.) B B Chakraborty

40+ years of experience in Industry and Academics, serving as consultant to major global organizations and Professor at leading IIMs.

Read More
Dr. Nidhan Choudhuri

Dr. Nidhan Choudhuri

25+ years of global experience in Financial Modeling, Risk Analysis, and Quantitative Trading, with roles at Barclays and Morgan Stanley.

Read More
Dr. Ayan Chatterjee

Dr. Ayan Chatterjee

8+ years of R&D experience in AI, Machine Learning, and Medical Image Processing with NVIDIA and AstraZeneca.

Read More
Mr. Jayanta Adhikari

Mr. Jayanta Adhikari

30+ years of experience in BFSI and Retail sectors, specializing in Financial Analytics and Digital Transformation.

Read More
Ms. Amrita Saha

Ms. Amrita Saha

15 years of experience in AI, GenAI, Big Data Analytics, and Econometrics across BFSI and Energy sectors.

Read More
© 2017 All rights reserved
NOW WE ARE IN BENGALURU & PUNECONTACT US
+ +