Data Visualization and Analytics for Managerial Decisions

About the Program 

In an increasingly data-driven business landscape, managers must make timely, evidence-based decisions to remain competitive. However, the growing complexity and volume of data often make it difficult to derive meaningful insights. This three-day programme equips participants with practical skills in data analytics, visualization, and business intelligence to transform data into actionable insights. Through hands-on exercises and real-world business cases, participants will learn to analyze datasets, create interactive dashboards, identify trends and performance indicators, and communicate findings effectively. The programme enables managers to leverage data-driven decision-making across functions such as marketing, finance, operations, supply chain, and human resources.

Pedagogy:

The programme adopts an experiential learning approach combining conceptual understanding with practical application. Participants will work with real-world datasets and develop actionable dashboards that can be directly applied in their organizations.

  • Understand the principles of data analytics and its strategic relevance to managerial decision-making.
  • Apply analytical techniques to extract actionable insights from business data.
  • Design effective visualizations and dashboards for business reporting.
  • Apply descriptive and basic inferential statistical methods to support strategic and operational business decisions.
  • Identify trends, patterns, anomalies, and key performance indicators (KPIs).
  • Use industry-standard software tools to automate analysis workflows and generate professional outputs.
  • Develop interactive reports for monitoring organizational performance.
  • Communicate analytical findings effectively to management and stakeholders.

Session

Topic / Module

Key Learning Content

Duration

Foundations of Data Analytics & Visualisation (6 Hours)

Day 1

Session 1

Introduction to Data Analytics

Role of analytics in managerial decision-making

Types of data and analytics (descriptive, diagnostic, predictive, prescriptive)

Managerial applications across functions

Case discussion

1.5 Hrs

Day 1

Session 2

Data Preparation & Exploration

Understanding structured and unstructured data

Data cleaning and preprocessing

Data quality issues

Exploratory Data Analysis (EDA)

Identifying patterns and trends

1.5 Hrs

Day 2

Session 3

Principles of Data Visualisation

Visual perception and storytelling

Choosing the right chart for the right problem

Best practices in dashboard design

Hands-on exercise

3 Hrs

Business Analytics and Dashboard Development (6 Hours)

Day 3

Session 4

Descriptive & Inferential Statistics for Managers

Measures of central tendency and dispersion

Correlation and regression (conceptual overview)

Confidence intervals and significance (managerial interpretation)

Business use cases

1.5 Hrs

Day 3

Session 5

Analytical Techniques for Managers

KPI identification and performance measurement

Trend and variance analysis

Segmentation and comparative analysis

Business performance diagnostics

Managerial interpretation of results

1.5 Hrs

Day 4

Session 6

Interactive Dashboard Development

Dashboard design framework

Building executive dashboards: Bar, line, scatter, heat maps, treemaps, waterfall charts; Time-series analysis; Geographic / spatial visualisation; Filters, drilldowns, and slicers

Visualization of business metrics, KPI selection

Hands-on exercise

3 Hrs

Applied Analytics and Decision Intelligence (6 Hours)

Day 5

Session 7

Functional Applications of Analytics

Marketing Analytics

Sales Performance Analytics

Financial Analytics

Supply Chain and Operations Analytics

HR Analytics

Industry case studies

1.5 Hrs

Day 5

Session 8

Advanced Analytics and Predictive Insights

Introduction to forecasting models

Trend analysis and seasonality

Scenario analysis for decisions

AI-assisted analytics and tools overview

What-if analysis

Predictive decision support

1.5 Hrs

Day 6

Session 9

Data Storytelling for Executives

Building compelling business narratives

Executive reporting techniques

Presenting insights to stakeholders

Influencing decisions through visualization

1.5 Hrs

Day 6

Session 10

Capstone: Data-Driven Business Case

Presentations

1.5 Hrs

Junior and Middle-level managers, Entrepreneurs and founders, Functional heads and team leaders

  1. Registration fees include the following:

    For all the participants:

    • Online sessions
    • Online study material
    • Certificate for course completion

Registration Terms & Conditions:

A. Upon payment of program fees registrations are tentatively confirmed. The final confirmation on the commencement of the program shall be communicated latest 2 weeks before (offline program) & 1 week before (online program) for the scheduled start date of the program.
B. Refund policy
Fees once paid can be adjusted up to 1 financial year against future nominations only. In case a course is canceled on account of inadequate participation or any other unforeseeable reasons, the participants will be informed of the cancellation by e-mail or Fax and the fee will be refunded. IIM Mumbai will not be liable for any other expenses incurred by the company or the participant. Any transaction fee will not be refunded.

C. IIM Mumbai is not responsible for any other expenses borne by the participants due to rescheduling/cancellation of its MDPs

D. Registration deadline: Registrations for online MDPs close 1 week prior to start of program

2. Individual Registration

If you wish to register & make payment, please click here Register

3. Company-sponsored / Bulk Registration:

    • In the case of company-sponsored candidates, please share the nomination list and GST details to program@iimmumbai.ac.in for invoice generation.

      Download the INVOICE DETAILS FORM

    • Note: Discount is applicable for 5 or more participants from same organization against invoice.

Course Details

Mode Online / Virtual
Duration 18 Hrs.
Programme Dates Oct 23, 2026 to Nov 01, 2026 Session Timings: Friday, Saturday, and Sunday (6 PM to 9 PM) (23, 24, 25,30,31 October and 1st November)
Program Coordinators Prof. Rakesh Verma & Prof. Rony Mitra

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