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The import export data for global businesses requires an understanding of global market trends for their operations. The global import-export data provides essential information that enables businesses to track demand changes, discover new markets, and monitor competitive activities throughout different areas. The Global Trade Data Service provides complete international trade data, which allows research businesses to sustain their operational readiness while developing their strategic planning functions in a fast-evolving global market.
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Africa’s corporate growth story is being shaped by a few powerful giants. But what truly drives performance across industries?
At Intersect Analytics, we wanted to answer that question.
So we scraped, structured, transformed, and analyzed real-world corporate data using Python, then developed an executive-level Power BI dashboard to uncover the performance drivers behind some of Africa’s most influential companies across:
🏦 Banking & Finance
📡 Telecoms & Technology
🛒 Retail & Consumer Goods
🛢️ Energy, Mining & Industry
✈️ Aviation
What did we uncover?
📈 Banking & Telecoms continue to dominate revenue generation
Large financial institutions and telecom operators remain the backbone of Africa’s corporate economy, driven by scale, customer reach, and digital expansion.
🌍 Geographic presence matters
Organizations operating across multiple countries demonstrate stronger resilience, diversified revenue streams, and greater long-term scalability.
📱 Technology-enabled businesses outperform
Companies leveraging digital ecosystems, mobile platforms, and customer connectivity continue creating stronger operational efficiencies and customer growth.
⚙️ Operational scale is a competitive advantage
Whether measured through customer base, branch networks, stores, subscribers, or infrastructure, scale continues separating market leaders from followers.
📊 Executive visibility drives better decisions
Complex business environments require more than spreadsheets. Leaders need real-time visibility into revenue, profitability, operations, geographic performance, and growth trends.
How we built it
Using Python, we scraped and consolidated multi-source corporate data, cleaned and transformed datasets, standardized financial and operational KPIs, and prepared a robust analytics model.
Using Power BI, we transformed complexity into an interactive executive dashboard designed for decision-makers.
The result?
A dashboard that answers:
✔️ What drives growth?
✔️ Which sectors outperform?
✔️ Where are risks and opportunities emerging?
✔️ What operational metrics matter most?
What we do at Intersect Analytics
We help organizations turn fragmented business information into decision-ready intelligence through:
📊 Power BI Executive Dashboards
🐍 Python Data Scraping & Automation
⚙️ Excel & Google Sheets Automation
📈 Financial Analysis & Forecasting
🗄️ Business Intelligence & KPI Reporting
Because growth becomes easier when leaders can see clearly.
DECISIONS BACKED BY DATA.
GROWTH DRIVEN BY INSIGHT.
📱 WhatsApp: +254 723 632 207
#PowerBI #Python #BusinessIntelligence #DataAnalytics #ExecutiveDashboard #Automation #DigitalTransformation #BusinessGrowth
El Dawly - Comprehensive Delivery & Logistics Management Dashboard
Spain Data Analyst Job Market Analysis (SQL Exploration Project)
Conducted an exploratory SQL analysis of the data analyst job market in Spain to identify salary trends, skill demand, and market structure.
The dataset was queried and analyzed using SQL to extract insights on compensation patterns and in-demand technical skills.
Key work included:
Cleaned and explored structured job market dataset using SQL
Analyzed salary distributions across experience levels and roles
Identified most frequently requested technical skills in job postings
Built skill-salary relationships to understand market value of competencies
Visualized insights around optimal skill combinations for higher-paying roles
Final output: structured insights into the Spanish data analytics job market, including salary benchmarks and skill demand patterns.
This project demonstrates SQL-based exploratory data analysis and labor market insight generation.
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