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When data changes in multiple lists and all lists are not updated, this causes
  • a)
    Data redundancy
  • b)
    Information overload
  • c)
    Duplicate data
  • d)
    Data inconsistency
Correct answer is option 'D'. Can you explain this answer?
Most Upvoted Answer
When data changes in multiple lists and all lists are not updated, thi...
Explanation:

Data Inconsistency:
When data changes in multiple lists and all lists are not updated, it causes data inconsistency. This means that different versions of the same data exist in different lists, leading to confusion and errors in decision-making.

Causes:
- Lack of coordination between multiple users or systems updating the lists
- Manual data entry errors
- Lack of proper data management procedures

Consequences:
- Inaccurate reporting and analysis
- Misinformed decision-making
- Loss of trust in the data and the systems using it

Prevention:
- Implementing proper data management protocols
- Using automation tools to update all lists simultaneously
- Regular data audits to identify and rectify inconsistencies

Conclusion:
Data inconsistency can have serious repercussions on the integrity of the data and the effectiveness of decision-making processes. It is essential to address this issue promptly and implement measures to ensure data consistency across all lists.
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Community Answer
When data changes in multiple lists and all lists are not updated, thi...
When data changes in multiple lists, and all lists are not updated to reflect the changes, it causes data inconsistency.
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When data changes in multiple lists and all lists are not updated, this causesa)Data redundancyb)Information overloadc)Duplicate datad)Data inconsistencyCorrect answer is option 'D'. Can you explain this answer?
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