Data profiling arrows showing modelling cleansing and merging

Description:

The image displays a presentation slide titled "Data Profiling Arrows Showing Modelling Cleansing And Merging." It serves as an informative diagram that outlines various steps and characteristics involved in data profiling. Each section is represented by an arrow with a number, and it offers editable text placeholders for users to adapt to their specific needs.

1. Validity is indicated by number 08, emphasizing the importance of ensuring that data is accurate and meets the relevant criteria.

2. Data Modeling, marked as 01, implies the process of creating a data model which is crucial for understanding and manipulating data.

3. Number 02 indicates Accuracy, stressing the precision and correctness of data.

4. Consistency, labeled as 04, highlights the need for data to be reliable and uniform across systems.

5. Integrity, designated with number 05, refers to the trustworthiness and completeness of data.

6. Completeness, represented by number 07, conveys that all necessary data is included.

7. Timeliness, pointed out by number 06, notes the importance of having up-to-date data.

8. The final point on the diagram, number 03, is Merging, which involves combining data from various sources into a coherent whole.

Use Cases:

Industries where these slides could be applied:

1. Data Analytics:

Use: To explain the key aspects of a data quality framework

Presenter: Data Engineer

Audience: Analytics team

2. Healthcare:

Use: Discussing the importance of accurate patient data management

Presenter: Healthcare Information Manager

Audience: Hospital Administrators

3. Banking and Finance:

Use: Describing data management strategies for financial reports

Presenter: Risk Analyst

Audience: Compliance Officers

4. Marketing and Sales:

Use: Demonstrating how data integrity affects customer targeting

Presenter: Marketing Director

Audience: Sales and Marketing Departments

5. E-commerce:

Use: Outlining data handling for customer experience improvement

Presenter: E-commerce Analyst

Audience: Product Management Team

6. Manufacturing:

Use: Explaining the role of data in optimizing supply chain processes

Presenter: Operation Manager

Audience: Supply Chain Stakeholders

7. Education:

Use: Illustrating the application of data quality in student information systems

Presenter: IT Coordinator

Audience: Educational Administrators