TechSkills of Future

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

ta Analytics: Collecting, cleaning, organizing, & analyzing data
Data Analytics Dashboard
Revenue
$2.4M
๐Ÿ“ˆ +12.5%
Users
8.2K
๐Ÿ“ˆ +8.3%
Conversion
4.2%
๐Ÿ“ˆ +3.1%
Session Avg
5.4m
๐Ÿ“‰ -2.1%
๐Ÿ“ˆ Revenue Trend
๐Ÿ”€ Analysis Methods
๐Ÿ’พ Data Pipeline
Raw Data
โ†’
ETL
โ†’
Warehouse
โ†’
Analytics
Cleaning
Transform
Validate
Insights
๐Ÿ‘๏ธ Multi-Metric Analysis
Metrics vs Target
Skills Matrix
Engagement vs Retention
๐ŸŽฏ 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
๐Ÿ“Š
Descriptive
What happened?
๐Ÿ”
Diagnostic
Why happened?
๐Ÿ”ฎ
Predictive
What will happen?
๐Ÿ’ก
Prescriptive
What to do?
Key Metrics & KPIs
CAC
Marketing Spend / New Customers
LTV
Avg Revenue per User ร— Lifespan
ROI
(Gain – Cost) / Cost ร— 100
ROAS
Revenue / Ad Spend
๐Ÿ’พ Data Pipeline
Raw Data
โ†’
ETL
โ†’
Warehouse
โ†’
Analytics

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