TechSkills of Future

Data Analytics: Collecting, cleaning, organizing, & analyzing data

ta Analytics: Collecting, cleaning, organizing, & analyzing data
Data Analytics: Collecting, cleaning, organizing, & analyzing data
Revenue
$2.4M
???? +12.5%
Users
8.2K
???? +8.3%
Conversion
4.2%
???? +3.1%
Session Avg
5.4m
???? -2.1%
???? Revenue Trend
???? Analysis Methods
???? Data Pipeline
Raw Data
ETL
Warehouse
Analytics
Cleaning
Transform
Validate
Insights
????️ Multi-Metric Analysis
Metrics vs Target
Skills Matrix
Engagement vs Retention
???? Conversion Funnel
Cohort Retention
Cohort W1W2W3W4 W5W6W7W8
A/B Test Results
Control (A)
Conversion
3.2%
Uplift
0%
Sample
5.0K
Variant (B)
Conversion
4.8%
Uplift
+50%
Sample
5.0K
Analytics Types
????
Descriptive
What happened?
????
Diagnostic
Why happened?
????
Predictive
What will happen?
????
Prescriptive
What to do?
Key Metrics & KPIs
CAC
Marketing Spend / New Customers
LTV
Avg Revenue per User × Lifespan
ROI
(Gain – Cost) / Cost × 100
ROAS
Revenue / Ad Spend
???? Data Pipeline
Raw Data
ETL
Warehouse
Analytics

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