The article presents a Total Data Quality Management (TDQM) methodology aimed at delivering high-quality information products (IP) to information consumers. The methodology is based on extensive research and practical experiences, addressing the limitations of existing approaches in information quality (IQ) management. Key components of the TDQM methodology include: 1. **Management and Concepts**: - **Data vs. Information**: Information is often processed data, and the article uses "information" interchangeably with "data." - **Information Quality (IQ)**: IQ is defined by fitness for use, with four categories and fifteen dimensions. - **Information Products (IP)**: IP is the output of an information manufacturing system, which can be transferred to consumers. 2. **TDQM Cycle**: - **Plan**: Define the characteristics and requirements of the IP. - **Do**: Identify the information manufacturing system and its components. - **Check**: Assess IQ using a survey-based diagnostic instrument and software tool. - **Act**: Develop and implement measures to improve IQ. 3. **Define IP**: - **Characteristics**: Define the functionalities and basic units of the IP. - **IQ Requirements**: Identify IQ dimensions and metrics from various stakeholders. - **Information Manufacturing System**: Describe how the IP is produced and the interactions among stakeholders. 4. **Measure IP**: - **Develop IQ Metrics**: Create metrics for basic and business rules. - **Implement Metrics**: Track and analyze IQ dimensions in the information manufacturing system. 5. **Analyze IP**: - **Root Cause Analysis**: Investigate and identify sources of poor IQ. - **Statistical Methods**: Use tools like SPC, pattern recognition, and Pareto charts. 6. **Improve IP**: - **Align Information Flow**: Ensure information flow matches business needs. - **Resource Allocation**: Use models to optimize resource allocation for IQ improvement. The TDQM methodology emphasizes the proactive continuous improvement of IP quality, leveraging the insights from multidisciplinary research and practical applications. It is particularly effective when supported by strong management commitment and a well-defined IQ policy. The methodology aims to help organizations harness the full potential of their data to gain a competitive edge and achieve strategic goals.The article presents a Total Data Quality Management (TDQM) methodology aimed at delivering high-quality information products (IP) to information consumers. The methodology is based on extensive research and practical experiences, addressing the limitations of existing approaches in information quality (IQ) management. Key components of the TDQM methodology include: 1. **Management and Concepts**: - **Data vs. Information**: Information is often processed data, and the article uses "information" interchangeably with "data." - **Information Quality (IQ)**: IQ is defined by fitness for use, with four categories and fifteen dimensions. - **Information Products (IP)**: IP is the output of an information manufacturing system, which can be transferred to consumers. 2. **TDQM Cycle**: - **Plan**: Define the characteristics and requirements of the IP. - **Do**: Identify the information manufacturing system and its components. - **Check**: Assess IQ using a survey-based diagnostic instrument and software tool. - **Act**: Develop and implement measures to improve IQ. 3. **Define IP**: - **Characteristics**: Define the functionalities and basic units of the IP. - **IQ Requirements**: Identify IQ dimensions and metrics from various stakeholders. - **Information Manufacturing System**: Describe how the IP is produced and the interactions among stakeholders. 4. **Measure IP**: - **Develop IQ Metrics**: Create metrics for basic and business rules. - **Implement Metrics**: Track and analyze IQ dimensions in the information manufacturing system. 5. **Analyze IP**: - **Root Cause Analysis**: Investigate and identify sources of poor IQ. - **Statistical Methods**: Use tools like SPC, pattern recognition, and Pareto charts. 6. **Improve IP**: - **Align Information Flow**: Ensure information flow matches business needs. - **Resource Allocation**: Use models to optimize resource allocation for IQ improvement. The TDQM methodology emphasizes the proactive continuous improvement of IP quality, leveraging the insights from multidisciplinary research and practical applications. It is particularly effective when supported by strong management commitment and a well-defined IQ policy. The methodology aims to help organizations harness the full potential of their data to gain a competitive edge and achieve strategic goals.