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Industry SimulationData VisualisationCompleted

Tata Consultancy Services
Data Visualisation Simulation

Business intelligence simulation for TCS — framing executive questions, choosing the right chart types, and creating data visualisations that drive leadership decision-making.

PlatformForage · Tata Consultancy Services
CompletedApril 14, 2025
TasksBI Framing · Chart Design · Executive Communication
ToolsData Visualisation · Tableau / PowerBI · Business Analysis
4
Tasks Completed
C-Suite
Target Audience
TCS
Client Org
Apr 2025
Completed
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Tata Group (TCS) · Forage Certificate
Completed: April 14, 2025
Verification Code: Wr4THmiCP8gD9gpb3
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01 — Simulation Overview

Building visuals that executives actually use

This TCS simulation focuses on a critical but underappreciated skill: turning data into visuals that senior leadership can act on. Most analysts know how to make charts. Far fewer know how to choose the right chart for the right question and frame it for a non-technical C-suite audience.

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The core challenge
A CEO doesn't want to interpret a correlation matrix. They want to know: are revenues growing? Which markets are underperforming? What should we do next quarter? The job of data visualisation is to make that answer obvious at a glance.
02 — Task Breakdown

What was completed

01
Framing the Business Scenario
Analysed the client's business situation and identified the key questions that senior leadership needs answered. Translated business questions into data questions.
Business analysis · Question framing · Stakeholder thinking
02
Choosing the Right Visuals
For each business question, selected the most appropriate chart type — bar charts for comparison, line charts for trends, scatter plots for correlation, maps for geographic analysis. Justified each choice.
Chart selection logic · Visual communication principles
03
Creating Effective Visuals
Built the actual visualisations with proper labelling, colour coding, and annotations. Ensured each visual communicates one clear message without requiring explanation.
Dashboard design · Colour theory · Data-ink ratio
04
Communicating Insights
Presented the visuals with a narrative — not just 'here is the chart' but 'here is what this means and what we recommend'. Structured communication for executive presentation.
Insight narrative · Executive presentation · Recommendations
03 — Principles Applied

What makes good executive visualisation

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One message per chart
The most common mistake in data visualisation is putting too much information on one chart. Each visual should answer exactly one question.
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Labels over legends
Legends require eye movement — from chart to legend and back. Direct labelling on chart elements is always clearer and faster to read.
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Appropriate chart types
Bar charts for comparison. Line charts for time series. Scatter plots for relationships. Pie charts — almost never. The chart type is a communication decision.
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Insight first, chart second
Start with the conclusion: 'Revenue in APAC dropped 23% in Q3.' Then build the visual that proves it. Not the other way around.
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TCS client context
In a real TCS engagement, data visualisations are presented to client leadership teams who have 20 minutes, not 2 hours. Every design decision — colour, layout, title, annotation — must serve clarity and speed of comprehension.
04 — Tech Stack
Data VisualisationTableau / Power BIBusiness IntelligenceExecutive CommunicationChart Design
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