📊 Types of Data Analytics – Descriptive, Diagnostic, Predictive & Prescriptive

Every successful business today relies on data-driven decisions—but not all analytics are the same. Let’s break down the 4 key types of Data Analytics and why they matter:

🔹 Descriptive Analytics – What happened?

Looks at historical data to identify trends and patterns.
👉 Example: Monthly sales reports, website traffic summaries.

🔹 Diagnostic Analytics – Why did it happen?

Digs deeper to find the causes behind outcomes.
👉 Example: Analyzing why customer churn increased last quarter.

🔹 Predictive Analytics – What will happen?

Uses machine learning & statistical models to forecast future scenarios.
👉 Example: Predicting demand for a product before launch.

🔹 Prescriptive Analytics – What should we do?

Recommends the best course of action using AI & advanced models.
👉 Example: Suggesting pricing strategies or supply chain optimizations.

💡 Together, these analytics empower businesses to look back, learn, anticipate, and act.

📌 Fact Check: Companies using advanced analytics can improve decision-making speed by 5x and gain a significant competitive edge.

🚀 Whether you’re running a startup or a global enterprise, leveraging all four types of analytics ensures smarter strategies, reduced risks, and faster growth.

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