SQL Can Give You the Numbers. Business Thinking Gives Them Meaning!
Anika Verma
Data Analyst | SQL, Power BI, Python | Turning messy data into decisions
SQL Can Give You the Numbers. Business Thinking Gives Them Meaning!
As a Data Analyst, one of the most valuable skills is connecting technical analysis with real business problems.
Imagine a marketing campaign gets more clicks this month, but sales remain unchanged. Is the campaign successful? Not necessarily!
Here's how I'd investigate:
Step 1: Check Conversion Rate
Are visitors actually turning into customers?
Step 2: Segment the Data
Compare performance by campaign, channel, location, and customer type.
Step 3: Use SQL to Find Patterns
Use GROUP BY, joins, and CTEs to identify where customers drop off.
Step 4: Visualize the Results
Build a dashboard that clearly shows clicks, conversions, and revenue together.
Step 5: Recommend an Action
Help the team decide where to improve the campaign instead of simply reporting numbers.
Key takeaway: More traffic doesn't always mean more business. The right metrics help us understand the difference.
Data analysis becomes powerful when insights lead to better decisions.
Data Analysts: When investigating a drop in sales, which metric would you check first?
#DataAnalytics #SQL #MarketingAnalytics #DataVisualization #BusinessIntelligence #DataDrivenDecisions
#dataanalytics#sql#marketinganalytics#datavisualization#businessintelligence#datadrivendecisions
