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Data Acquisition in Project Cycle Video Lecture | Artificial Intelligence (AI) for Class 9
FAQs on Data Acquisition in Project Cycle Video Lecture - Artificial Intelligence (AI) for Class 9
| 1. What is data acquisition in the context of project management? |  |
Ans.Data acquisition refers to the process of collecting and measuring data from various sources during a project cycle. It is crucial for making informed decisions, assessing project performance, and ensuring that objectives are met.
| 2. Why is data acquisition important in the project cycle? | |
Ans.Data acquisition is vital because it provides the necessary information to evaluate progress, identify potential issues, and make adjustments to the project plan. It helps in ensuring that the project stays on track and meets its goals.
| 3. What are the common methods of data acquisition used in projects? | |
Ans.Common methods of data acquisition include surveys, interviews, observations, focus groups, and the use of existing data sources. Each method has its strengths and is chosen based on the project's specific needs and objectives.
| 4. How can technology aid in data acquisition during a project? | |
Ans.Technology can significantly enhance data acquisition through tools like data collection software, mobile applications, and online survey platforms. These technologies streamline the process, improve accuracy, and facilitate real-time data analysis.
| 5. What challenges might arise during data acquisition in projects? | |
Ans.Challenges in data acquisition can include data quality issues, difficulties in accessing information, inadequate resources, and ensuring participant engagement. Addressing these challenges is essential for effective data collection and project success.
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Oct 09, 2025
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