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.

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

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.

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