Be Aware of Limits and Ethics

Build a Data-Driven Culture

Turning everyday activities, behaviors, and interactions into data that can be collected, stored, and analyzed.
Examples:
- Social media posts $\rightarrow$ data about moods, trends, interests.
- Fitness trackers / smartwatches $\rightarrow$ steps, heart rate, sleep data.
- E-commerce browsing $\rightarrow$ clicks, searches, purchases become data.
- Smart home devices $\rightarrow$ energy use, voice commands, routines data.
- Education platforms $\rightarrow$ attendance, assignment submissions, learning patterns.

Provides huge new sources of data for analysis and decision-making.
Helps organizations predict behavior and personalize experiences.
Enables data-driven innovation in fields like healthcare, transportation, marketing, and education.

Privacy and security concerns (personal data collection).
Ethical issues (consent, surveillance, data misuse).
Data overload (collecting data without knowing how to use it).
REAL-WORLD $\rightarrow$ DATAFICATION $\rightarrow$ DATA SCIENCE $\rightarrow$ ANALYTICS $\rightarrow$ INSIGHTS $\rightarrow$ DECISIONS

Datafication is the fuel of the Data Science era — it creates the raw material (data) that data scientists analyze to produce insights.
Daily activities $\rightarrow$ data $\rightarrow$ analysis $\rightarrow$ insights

Company	Area	What They Do (Datafication in Action)
Netflix	Entertainment	Tracks viewing patterns to recommend shows, optimize content production, and reduce churn.
Amazon	E-commerce	Analyzes customer behavior, searches, and purchases to drive personalized recommendations and dynamic pricing.
Fitbit	Healthcare / Fitness	Collects data from wearables (steps, sleep, heart rate) to offer personalized health insights.
Tesla	Transportation	Uses real-time sensor and driving data from vehicles to improve autopilot and vehicle safety.
Google Maps	Navigation	Continuously collects GPS and location data to provide real-time traffic updates and route optimization.
Duolingo	Education	Tracks user interactions to personalize lessons and improve language learning outcomes.
LinkedIn	Human Resources	Uses user activity data to recommend jobs, connections, and targeted learni