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Executive Education > Open Programs > Data Driven Decision Making

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PROGRAM OVERVIEW

Most organisations, especially large enterprises, are investing resources in collecting, storing, securing, and analysing their data. A recent survey from Bain & Co. states that nearly 66% of the 300+ professional executives interviewed globally mentioned that their company invests heavily in data analytics, but more than half also expect transformational returns on their investments. Organisations are relying on data for better decision-making as well as automating basic day-to- day activities and regularly occurring decisions. Without a solid foundation, you can’t effectively use the data.
A data-driven culture fosters continuous performance improvement, creating truly differentiated customer and employee experiences and enabling the growth of sophisticated new applications widely used today. Data-driven decision making is a comprehensive two-day program that will help you support your organisation in achieving its strategic goals in a structured manner using reliable data to make prudent decisions. It will help participants hone their data analytics skills. Specifically, the objectives of the program are to help you identify new business opportunities, develop effective go-to-market strategies, enhance customer and employee engagement, grow sales, improve operations and more.

Key Highlights

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Date

6th and 7th Mar 2025

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Duration

12 hours
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Mode of Delivery

online
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Format

Weekend Program

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Receive a

Certificate of Completion
from SP Jain
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Program Fee

INR 25,000
plus taxes

Learning Outcomes

  • Gain an understanding of business analytics processes.
  • Develop skills in data visualisation and interpretation.
  • Learn to analyse historical data to identify patterns and diagnose issues.
  • Familiarise with predictive models to forecast future outcomes.
  • Understand prescriptive analytics to recommend optimal actions.
  • Apply analytics skills to real-world business scenarios.

The program should allow managers in organizations to use evidence-based data to make decisions and plan carefully to pursue business objectives.

PROGRAM CURRICULUM

 
  • Introduction to Business Analytics
  • The Analytics Lifecycle: Descriptive, Diagnostic, Predictive, Prescriptive
  • Role of Analytics in Decision-Making
 
  • Importance of Data Visualization
  • Tools and Techniques (e.g., Tableau, Power, BI)
  • Best Practices for Creating Effective Visuals
 
  • Understanding and Summarizing Historical Data
  • Key Metrics and KPIs for Sales and Corporates
  • Tools for Analysis
 
  • Root Cause Analysis
  • Techniques to Identify Patterns and Anomalies
  • Case Studies in Problem Diagnosis
 
  • Introduction to Predictive Modelling
  • Techniques: Regression, Time Series, Analysis
 
  • Introduction to Scenario and Sensitivity Analysis
  • Tools and Techniques for What-If Analysis (Excel, BI tools)
  • Application Scenarios in Business Context
 
  • Optimisation Techniques
  • Decision Trees and Simulation Models
  • Use Cases in Asset Management
 
  • Aligning Analytics with Business Goals
  • Case Study: Creating an Analytics-Driven Culture
  • Roadmap for Continuous Improvement

Program Faculty


Dr Arindam Banerjee

Professor (Finance) and Director – Master of Applied Finance & Wealth Management, Head – Alumni Relations, Middle East and Africa, Director, Executive Program in Global Strategic Finance
Dr Arindam Banerjee is a Professor of Finance and the Assistant Dean – Global MBA & Master of Global Business at SP Jain School of Global Management’s Dubai Campus. He also serves as a strategic advisory board member at the Department of Finance, College of Business Administration at Ajman University. Additionally, he is on the board of Governors at Delhi Private School, Sharjah.


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WHO SHOULD ATTEND?

The program is best suited to Senior Level, Middle Level and Lower-Level Professionals who use data analytics in their job roles.

Take the Next Step

If you want to apply for the program or schedule a personalised consultation for more details, please get in touch. We look forward to working with you towards achieving your learning goals.