There are many reason so that Data Science became a important :​​

• Here is a short list of common data science deliverables:

• Prediction (predict a value based on inputs)

• Classification (e.g., spam or not spam)

• Recommendations (e.g., Amazon and Netflix recommendations)

• Pattern detection and grouping (e.g., classification without known classes)

• Anomaly detection (e.g., fraud detection)

• Recognition (image, text, audio, video, facial, …)

• Actionable insights (via dashboards, reports, visualizations, …)

• Automated processes and decision-making (e.g., credit card approval)

• Scoring and ranking (e.g., FICO score)

• Segmentation (e.g., demographic-based marketing)

• Optimization (e.g., risk management)

• Forecasts (e.g., sales and revenue)

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