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  • Dec 18

Cloud Data Analytics

Cloud Data Analytics

Actor

Data Analyst

Scenario

Companies aim to gain powerful insights and optimize business processes by utilizing the computing power of cloud computing for big data analytics.

There is a massive amount of data collected daily from corporate endpoints, cloud applications, and user interactions.

Cloud computing enables organizations to tap into large quantities of structured and unstructured data, extracting valuable business value.

Retailers and suppliers can analyze customer buying patterns to target advertising and marketing campaigns to specific population segments.

Social networking platforms provide data for analyzing behavioral patterns, enabling organizations to derive meaningful insights.

Machine learning (ML) and artificial intelligence (AI) capabilities supported by cloud computing allow businesses to extract deeper insights from their data.

Use Case

Use Case Name: Utilizing Cloud-based Big Data Analytics

Primary Actor: Data Analyst

Goal: To leverage cloud computing for big data analytics and gain valuable insights to optimize business processes.

Pre-conditions: The organization has access to cloud computing resources and has collected relevant data.

Post-conditions: Data analysts can efficiently analyze large volumes of data using cloud-based analytics tools and techniques, deriving meaningful insights for business optimization.

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