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Industry SimulationData AnalyticsCompleted

Deloitte Australia
Data Analytics Simulation

Forensic data analytics simulation — analysing business datasets, building a Tableau dashboard for client reporting, and using Excel to classify and draw business conclusions.

PlatformForage · Deloitte Australia
CompletedMarch 2, 2025
TasksData Analysis · Forensic Technology · Dashboard
ToolsTableau · Excel · Data Visualisation
2
Core Tasks
Tableau
Dashboard Tool
Mar 2025
Completed
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Deloitte Australia · Forage Certificate
Completed: March 2, 2025
Verification Code: tMjoQyxYBtNy28adi
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01 — Simulation Overview

Inside a Deloitte analytics engagement

The Deloitte Australia Forage simulation covers two areas that sit at the core of professional services analytics: forensic data analysis (finding anomalies and patterns in business data) and data visualisation for client reporting (turning findings into dashboards that non-technical stakeholders can act on).

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What forensic technology means in practice
Forensic analytics isn't just about fraud detection. It's about applying rigorous data investigation methods to business data — identifying outliers, testing hypotheses, and building an evidence trail. Deloitte does this for regulatory compliance, dispute resolution, and operational audits.
02 — Task Breakdown

What was completed

01
Data Analysis
Received a structured business dataset simulating a client engagement. Performed exploratory analysis to understand the data, identify quality issues, and surface patterns relevant to the client's business question.
Excel · Pivot Tables · Data profiling
02
Data Classification
Used Excel to classify records into meaningful business categories. Applied conditional logic and structured classification frameworks to organise data for client-facing reporting.
Excel · IF/VLOOKUP · Classification logic
03
Tableau Dashboard
Built an interactive Tableau dashboard to visualise the key metrics and findings from the analysis. Designed for a non-technical client audience — clear labels, logical layout, actionable takeaways on each chart.
Tableau · Dashboard design · KPI visualisation
04
Business Conclusions
Drew structured business conclusions from the analysis — framing findings in terms of what the client should do, not just what the data shows. Mirroring Deloitte's client-delivery standards.
Business writing · Insight communication
03 — Key Skills Demonstrated

What this simulation develops

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Client-ready Tableau dashboards
Not all dashboards are equal. A dashboard built for a Deloitte client must be clean, labelled, and self-explanatory — no technical jargon, no chart clutter.
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Structured data classification
Classifying unstructured business data into consistent categories is a foundational analytics skill. Excel's logical functions (IF, VLOOKUP, INDEX-MATCH) are the workhorses here.
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Forensic investigation mindset
Forensic analytics requires scepticism — looking for what doesn't add up, not just what does. Anomaly detection and pattern testing are applied throughout.
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Non-technical communication
Drawing business conclusions means translating numbers into recommendations. Deloitte's clients are executives — they need the 'so what', not the methodology.
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Professional services context
This simulation reflects real Deloitte project work — multi-tool workflows (Excel for classification, Tableau for visualisation), client-framed deliverables, and the expectation that analysis must lead to actionable conclusions, not just descriptive statistics.
04 — Tech Stack
TableauMicrosoft ExcelData VisualisationForensic AnalyticsBusiness Reporting
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