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Questions and Answers
What is NOT a characteristic of good information?
What is NOT a characteristic of good information?
Which of the following is a consequence of poor data quality?
Which of the following is a consequence of poor data quality?
Which function is NOT typically performed by a Database Management System (DBMS)?
Which function is NOT typically performed by a Database Management System (DBMS)?
Which process is NOT included in improving data quality?
Which process is NOT included in improving data quality?
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What is the primary purpose of processing data into information?
What is the primary purpose of processing data into information?
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Study Notes
Data Management
- Raw facts and figures have no inherent meaning; they need processing to become information.
- Organizations manage data to achieve their aims.
- Data needs structuring to provide meaning.
- Database is a structured collection of related data.
- DBMS (Database Management System) software manages databases (e.g., Microsoft Access, Oracle).
- DBMS software facilitates data organization, verification, retrieval (queries), and report generation.
- DBMS allows for table creation, deletion, modification, and data retrieval.
Uses of Information in Business
- Essential for communication within organizations.
- Helps in decision-making processes.
- Enables support for business activities (processes).
Characteristics of Good Information
- Accurate
- Reliable
- Relevant
- Timely
- Complete
- Valid
Costs of Poor Data
- Lost revenue
- Increased operational costs
- Compliance violations
- Reputational damage
Improving Data Quality
- Implement data quality processes (profiling, cleansing, validation).
- Utilize data quality tools.
- Ensure data accuracy and completeness.
- Train employees on data management practices.
- Establish data governance frameworks.
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Description
This quiz explores the essential concepts of data management and its importance in business information utilization. It addresses the characteristics of good information, the costs associated with poor data, and strategies for improving data quality. Test your understanding of how data is structured and managed in organizational settings.
