Management Information Systems

What is data management in the context of Management Information Systems?

• Data management in MIS involves managing physical documents

• Data management in MIS is the systematic handling of data to support business operations and decision-making.

• Data management in MIS focuses on marketing strategies

• Data management in MIS is only relevant for small businesses

Explain the process of Information Systems Development.

• The process of Information Systems Development includes planning, analysis, design, implementation, and maintenance.

• The process of Information Systems Development includes coding only

• The process of Information Systems Development includes testing, but not planning

• The process of Information Systems Development includes design, but not analysis

What are the key components of Database Design?

• data modeling, schema design, normalization, indexing, query optimization

• data visualization

• backup management

• data analysis

How do Decision Support Systems assist in decision-making processes?

• They focus on entertainment recommendations

• They offer cooking recipes

• They provide data analysis, modeling tools, and information retrieval.

• They provide weather forecasting tools

What is the purpose of Enterprise Resource Planning (ERP) systems?

• To increase costs and decrease productivity

• To complicate business operations

• To integrate and streamline business processes within an organization.

• To reduce efficiency in organizations

Define data management and its importance in MIS.

• Data management only focuses on data quantity, not quality

• Data management is only necessary for small organizations, not large enterprises

• Data management is essential in MIS as it ensures data quality, integrity, and security, enabling effective decision-making and organizational success.

• Data management is irrelevant in MIS and can be overlooked

Discuss the different stages involved in Information Systems Development.

• 1. Analysis, 2. Design, 3. Maintenance

• 1. Planning and Analysis, 2. Design, 3. Implementation, 4. Testing, 5. Deployment, and 6. Maintenance.

• Development, 2. Testing, 3. Deployment

• 1. Planning, 2. Implementation, 3. Deployment

Explain the concept of normalization in Database Design.

• Normalization in Database Design is the process of organizing data in a database efficiently.

• Normalization involves removing all data from a database

• Normalization is the process of adding redundant data to a database

• Normalization is only applicable to non-relational databases

How do Decision Support Systems utilize data analytics?

• By randomly selecting data points without analysis

• By collecting, processing, and analyzing data to provide insights and recommendations for decision-making processes.

• By ignoring data and relying solely on intuition

• By outsourcing data analysis to third-party companies

What are the benefits of implementing an Enterprise Resource Planning system?

• The benefits of implementing an Enterprise Resource Planning system include streamlining business processes, improving efficiency, enhancing data accuracy, providing real-time insights, facilitating better decision-making, and promoting collaboration among different departments.

• Limiting data accuracy

• Isolating departments

• Decreasing efficiency