Which practice reduces data and system duplication?

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Multiple Choice

Which practice reduces data and system duplication?

Explanation:
Reducing data duplication is achieved by creating a single, trusted source of truth through centralized data integration, standardized definitions, and master data management. When data is stored once and shared across systems, updates propagate from one place, so there are fewer inconsistencies and less wasted storage. This approach simplifies maintenance and improves data quality. The other options don’t fit because increasing duplication adds more redundant copies, expanding software licenses doesn’t address data duplication, and adding more data marts typically creates additional copies of data rather than consolidating them.

Reducing data duplication is achieved by creating a single, trusted source of truth through centralized data integration, standardized definitions, and master data management. When data is stored once and shared across systems, updates propagate from one place, so there are fewer inconsistencies and less wasted storage. This approach simplifies maintenance and improves data quality.

The other options don’t fit because increasing duplication adds more redundant copies, expanding software licenses doesn’t address data duplication, and adding more data marts typically creates additional copies of data rather than consolidating them.

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