Knowledge Base

What are common problems with data analysis?

12/09/2022 | By: FDS

1. Incomplete or inaccurate data: Incomplete or inaccurate data can lead to poor results.

2. Unclear goals: To successfully analyze data, one must have clear goals and expectations.

3. Insufficient data collection: if the data is not collected properly, the analysis may be biased.

4. Insufficient resources: successful data analysis sometimes requires a lot of resources, such as hardware and software.

5. Missing or inconsistent metadata: Metadata is important to assess the quality of data.

6. Insufficient knowledge: A lack of expertise and experience can lead to poor results.

7. Data integrity issues: If data is not properly validated, it can lead to erroneous results.

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