Fulfilment
Investigate delivery delays, concentration and operational patterns.
D2C Shadow Project #001 — Beta Open
Your next analytics project should investigate a business.
Pixelwave Analytics Lab creates practical Business Analytics projects around realistic business problems — so students and aspiring analysts can move beyond toy datasets and demonstrate how they actually investigate, quantify, explain, and recommend.
For Data Analytics students, aspiring analysts, freshers and portfolio builders.
Business → Evidence → Action
D2C Business Investigation
Investigation Workspace
5 Areas
→ investigate
✦
The goal is not just a dashboard.
Find what is happening, quantify the impact, explain why it matters, and recommend what the business should do next.
SQL · Python · Excel · Power BI
The First Project
D2C Shadow Project #001
A practical D2C Business Analytics investigation where you work through messy-but-solvable business data and turn it into evidence-backed findings.
Returns
Identify disproportionate return behaviour and the patterns behind it.
Product Economics
Explore revenue, cost, contribution and where margin may be leaking.
Inventory
Investigate stock, velocity, concentration, ageing and value.
Management Actions
Convert evidence into practical recommendations the business can act on.
Beta Cohort
Build something you can actually explain.
The beta is designed to test the project experience with students and aspiring analysts before wider release.
Work like an analyst, not just a tool user.
You will receive the project package,
business context, dataset, schema,
business questions and submission
guidance.
Your job is to investigate the problem
and build your own evidence-backed analysis.
What beta participants receive
✓
Complete practical project
A structured D2C Business Analytics investigation.
✓
Realistic business dataset
Work with imperfect data instead of a perfectly clean toy dataset.
✓
Business case & questions
Understand what the business wants to know before analysing.
✓
Portfolio-ready work
Build a concrete analytical project you can discuss and showcase.
✓
Feedback on submitted work
Receive feedback as part of the beta experience.
✓
Certificate of Completion
Provided after successful completion of the project.
✓
Beta community access
Stay connected for instructions, discussion and updates.
Who Is This For?
You don't need to be an expert.
The project is intended for people who have basic analytics knowledge and want to practise applying it to a real business-style problem.
Good fit if you are...
- Data Analytics student
- Business Analytics student
- Aspiring Data Analyst
- E-commerce Analytics learner
- Student preparing for analyst internships
- Final-year student or fresher
- Building your first analytics portfolio
- Self-learner with basic data analysis skills
What matters more than expertise
- Curiosity about business problems
- Willingness to investigate independently
- Attention to data quality and detail
- Ability to explain your reasoning
- Evidence-backed thinking
- Willingness to document assumptions
- Commitment to complete the project
How The Project Works
From messy data to management action.
The project is structured around practical business analysis: understand the problem, validate the data, investigate, and communicate.
01 — UNDERSTAND
Start with the business
Understand the business context, questions, dataset structure and expected outcome.
02 — VALIDATE
Deal with imperfect data
Identify data-quality issues, define assumptions and document treatment.
03 — INVESTIGATE
Find the evidence
Analyse counts, rates, economics, inventory and cross-business patterns.
04 — COMMUNICATE
Recommend action
Turn important findings into clear business impact and practical recommendations.
Use Your Tools
SQL is not the project. The investigation is.
Use the analytics stack you are comfortable with. The focus is on how you investigate the problem and support your conclusions with evidence.
⌘
SQL
Query, join, aggregate and investigate relational data.
🐍
Python / Pandas
Clean, explore, calculate and analyse programmatically.
▦
Excel
Analyse, calculate, pivot and communicate findings.
◩
Power BI
Build visuals and dashboards that support your findings.
+
Your Choice
Use another suitable analytics tool if it fits your approach.
Ready to investigate your first D2C business problem?
Join the Pixelwave Analytics Lab beta community. Project access, instructions and next steps will be shared with participants there.
Beta participation is project-based. Certificate of Completion is provided after successful completion of the project.