Data & Analytics · Retail & E-commerce

Retail Analytics & Forecasting Dashboard

Transform raw sales and inventory data into decision-ready KPIs, trends and forecasting insights.

Project duration3 weeksRecommended levelIntermediateIndustry contextRetail & E-commerce

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The project brief

A real business problem, translated into a working solution.

Business teams need one trusted view of revenue, customers, product performance and inventory movement.

Your responsibility: make informed architecture decisions, validate the implementation and explain the solution in business language—not simply follow a prepared tutorial.

Mentor-guided implementation

One connected delivery journey

Each phase builds on the last, taking the learner from an unclear business requirement to a tested and presentation-ready solution.

01 · Discover

Frame the requirement

Define users, inputs, constraints, success criteria and responsible-use boundaries.

02 · Design

Plan the solution

Map the architecture, data movement, interfaces and validation approach before implementation.

03 · Build

Implement in milestones

Create the working components, integrate the flow and review each milestone with a mentor.

04 · Defend

Validate and present

Test quality, document limitations and present the final solution as a portfolio case study.

Inside the working solution

What you will build

01Clean analytical data model with reusable measures
02Executive, sales and inventory dashboard views
03Forecasting analysis with documented assumptions

Your final submission

What you will present

Interactive Power BI dashboard
SQL and Python analysis files
Data dictionary and executive insight summary

Technology workspace

The tools behind the build

Every tool has a clear job inside the implementation. Learners practise when to use it, what it contributes and how to explain that decision.

SQL

Query, transform and validate structured business data

Python

Data processing, model logic and backend automation

Power BI

Build interactive dashboards and decision-ready reports

Data Modelling

Create reliable relationships, measures and metrics

Forecasting

Estimate future trends from historical patterns

Data Storytelling

Explain analysis through clear business narratives

Interview and portfolio readiness

How this project supports career preparation

A business-facing analytics portfolio that demonstrates technical analysis and clear executive communication.

Clear problem statement and business context
Architecture and tool-selection explanation
Implementation evidence and testing decisions
Portfolio case study and interview walkthrough

Questions about this project

Retail Analytics & Forecasting Dashboard FAQs

These answers explain the expected level, submission scope, tools and mentor-guided delivery model for this project.

Who is the Retail Analytics & Forecasting Dashboard project suitable for?+

This is an intermediate project. It is suitable for learners who have completed the relevant foundations and want guided practice in SQL, Python, Power BI. An advisor can confirm the recommended starting level.

What will I submit at the end of the project?+

The final submission includes interactive power bi dashboard, sql and python analysis files, data dictionary and executive insight summary. These materials help you explain both the implementation and the business value.

Which tools and skills are used?+

The project uses SQL, Python, Power BI, Data Modelling, Forecasting, Data Storytelling. The exact stack may be adjusted by the mentor to match the learning program and current platform availability.

Will this project be useful in my portfolio and interviews?+

A business-facing analytics portfolio that demonstrates technical analysis and clear executive communication.

Is mentor guidance included?+

Project delivery is structured through milestone reviews, implementation feedback, testing guidance, documentation review and a final portfolio walkthrough according to the selected program format.

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