Data warehouse with cloud technology

Description:

The image is a PowerPoint slide illustrating the components of a data warehousing architecture enhanced with cloud technology. It visualizes the flow from operational source systems to data warehousing and the eventual generation of reports, emphasizing the role of ETL (Extraction, Transformation, and Loading) processes.

Here's a breakdown of the text elements:

1. Operational Source Systems: 

Lists various systems such as E-Commerce, Sales, Marketing, and Point of Sales, which are sources of raw data.

2. Integration Area: 

Includes the Operational Data Store (ODS) and Staging Area, which are intermediate storage areas for raw and processed data, respectively.

3. Data Warehouse: 

A centralized repository where integrated data from various source systems is stored for analysis and querying.

4. Data Marts: 

Smaller, segmented areas of the Data Warehouse designed for specific lines of business or departments, facilitating specialized reports generation.

5. Reports Generation: 

The end-product of the data warehousing process, which includes various reports for business analysis.

6. ETL => cloud: 

Indicates that ETL processes can be cloud-based, allowing for scalability and remote data processing.

Use Cases:

This slide can be used across multiple industries, such as:

1. E-Commerce:

Use: Tracking customer transactions and inventory management.

Presenter: Data Architect.

Audience: Business Analysts, Marketing Team.

2. Healthcare:

Use: Managing patient records and hospital administration data.

Presenter: Health Informatics Specialist.

Audience: Healthcare Administrators, Medical Staff.

3. Finance:

Use: Analyzing transaction data and financial trends.

Presenter: Financial Analyst.

Audience: Investment Teams, Regulatory Compliance Officers.

4. Retail:

Use: Understanding customer buying patterns and product performance.

Presenter: Retail Operations Manager.

Audience: Supply Chain Managers, Sales Teams.

5. Manufacturing:

Use: Monitoring production data and supply chain efficiency.

Presenter: Operations Manager.

Audience: Production Planners, Quality Assurance Teams.

6. Telecommunications:

Use: Analyzing call data records and customer service interactions.

Presenter: Network Operations Director.

Audience: Customer Service Managers, Technical Analysts.

7. Education:

Use: Evaluating student performance data and institutional research.

Presenter: Education Data Analyst.

Audience: Academic Advisors, Institutional Planners.