Data Analytics is the process of examining raw data to find patterns, trends, and insights that help in making better decisions.

Role:

• Collects and organizes raw data (numbers, text, logs, sales records, etc.).

• Cleans and prepares data (removes errors, fills gaps).

• Analyzes data using tools like Excel, SQL, Python, or Power BI.

• Translates numbers into actionable insights for businesses or organizations.

Real-life Examples:

• E-commerce (Amazon/Flipkart): Analyzing customer purchases → recommending “You may also like” products.

• Banking (HDFC/ICICI): Checking transaction patterns → detecting fraud.

• Healthcare (Apollo): Studying patient records → finding effective treatments.

• Retail (Reliance Trends): Tracking stock levels → restocking fast-moving items.

• Food Delivery (Swiggy/Zomato): Finding which city orders most biryani → assigning more delivery partners there.

Data Analytics = turning raw data into meaningful insights that guide smart decisions.