Power BI

POWER BI PROJECTS, POWER BI PROJECTS

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1. Northwind Traders

THE SITUATION:
Northwind Traders executives are interested in building a top level KPI dashboard to help them quickly understand
the company's performance in various key areas.

DATA CLEANING TOOL USED:
Microsoft Power BI Desktop, Python, Excel

2. Telecom Customer Churn

THE SITUATION:
As a Data Analyst, The Telecom Customer Churn dataset has been provided and your required to track the
following criterias; customer profiles for a customer that churned, joined, and stayed,
key drivers of customer churn and how can they be retained.

THE BRIEF:
Churn data for a fictional Telecommunications company that provides phone and internet services
to 7,043 customers in California, and includes details about customer demographics,
location, services, and current status.

DATA CLEANING TOOL USED:
Python and Ms Excel

3. Airline Passenger Satisfaction

THE SITUATION:
You will be assuming the role of a Senior Data Analyst for Maven Airlines, a Us-based airline headquatered in Boston.
Your task is to recommend a data driven strategy for increasing the satisfaction rate
through finding key areas to focus on for getting back on track.

DATA CLEANING TOOL USED:
Microsoft Power BI Desktop

4. Grocery Store X

THE SITUATION:
You have been hired by Grocery Store X, a super market venture to design, deliver an end-to-end business
intelligence solution from scratch!

THE BRIEF:
The manager needs a way to track KPIs(Sales,Profits), compare city performance,analyze product-level
trends and forecast weekly,monthly profits as well as sales.

DATA CLEANING TOOL USED:
Microsoft Power BI Desktop

DATASET SOURCE

5. ADVENTURE WORKS

This dashboard is not interactive. It is an exported pdf-image dashboard.

THE SITUATION:
You have been hired by Adventure Works Cycles, a global manufacturing company to
design and deliver an end-to-end business intelligence solution from scratch!

THE BRIEF:
Your client needs a way to track KPIs(Sales, Revenue, Profit, Returns), compare regional performance,
analyze product-level trends and forecasts and indentify high-value customers.