What is business intelligence?
Business intelligence (BI) is a set of technological processes for collecting, managing and analyzing organizational data to yield insights that inform business strategies and operations.
Business intelligence analysts transform raw data into meaningful insights that drive strategic decision-making within an organization. BI tools enable business users to access different types of data, historical and current, third-party and in-house, as well as semistructured data and unstructured data such as social media. Users can analyze this information to gain insights into how the business is performing and what it should do next.
According to CIO magazine: “Although business intelligence does not tell business users what to do or what will happen if they take a certain course, neither is BI only about generating reports. Rather, BI offers a way for people to examine data to understand trends and derive insights.”1
Organizations can use the insights gained from BI and data analysis to improve business decisions, identify problems or issues, spot market trends and find new revenue or business opportunities.
BI Application Scenario 1: Retailer Selling Cycling Products Globally
Dashboard: Interactive Sales & Profit Analysis
Business Problem:
A global bicycle retailer was selling across 10+ countries and hundreds of products — but had no clear view of:
Which products were actually profitable
Where sales were growing or declining
How sales performance varied by region or city
What to focus on to drive higher margin
They were managing this using spreadsheets, which made monthly reporting slow and reactive.
Our Solution (via Power BI):
We built a fully interactive Power BI dashboard that gives them real-time insights into:
Total sales, gross profit, quantity sold, and average quantity per order
Sales trends and profitability by month
Performance by product category, country, and city
Top-selling and underperforming items or locations
Users can drill into data by year or region with just one click — no spreadsheets needed.
Results & Impact:
Identified that Competition Bikes generated 70%+ of revenue — allowing focus on high-volume SKUs
Found USA and 5 key cities were driving most sales — helping optimise marketing spend
Detected a dip in profit in March and July — triggering deeper investigation into discounting and cost control
Empowered the sales manager to make real-time decisions based on clean visuals, not raw data.
Why This Matters to Business Owners:
- This dashboard helped the business understand what’s really working — so they could double down on winners and fix leaks fast.
BI Application Scenario 1: Retailer Selling Cycling Products Globally
Dashboard: Interactive Sales & Profit Analysis
Business Problem:
A global bicycle retailer was selling across 10+ countries and hundreds of products — but had no clear view of:
Which products were actually profitable
Where sales were growing or declining
How sales performance varied by region or city
What to focus on to drive higher margin
They were managing this using spreadsheets, which made monthly reporting slow and reactive.
Our Solution (via Power BI):
We built a fully interactive Power BI dashboard that gives them real-time insights into:
Total sales, gross profit, quantity sold, and average quantity per order
Sales trends and profitability by month
Performance by product category, country, and city
Top-selling and underperforming items or locations
Users can drill into data by year or region with just one click — no spreadsheets needed.
Results & Impact:
Identified that Competition Bikes generated 70%+ of revenue — allowing focus on high-volume SKUs
Found USA and 5 key cities were driving most sales — helping optimise marketing spend
Detected a dip in profit in March and July — triggering deeper investigation into discounting and cost control
Empowered the sales manager to make real-time decisions based on clean visuals, not raw data.
Why This Matters to Business Owners:
- This dashboard helped the business understand what’s really working — so they could double down on winners and fix leaks fast.