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DATA QUALITY MANAGEMENT | OUR TEAM'S BEST PRACTICES
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Today we are talking about Data Quality Management. We’ll review how to solve data quality management challenges based on the Jelvix team’s experience.
We are a technology consulting and software development company eager to share our knowledge and experience.
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What Is Data Quality Management?
It is a process that involves sorting through data, determining the criteria for high-quality information, and developing strategies and tools for eliminating data that failed to meet these requirements. Keep watching to know more about the steps of this process.
Increased data accuracy:
- Minimizes misunderstanding
- Provides more information
- Ensures relevant business decisions
- Ensures that only valid data is collected
- Provides a united data framework
We are a technology consulting and software development company eager to share our knowledge and experience.
▶ LINKS:
▶ TIME CODES:
▶ Follow us:
▶ About this video:
What Is Data Quality Management?
It is a process that involves sorting through data, determining the criteria for high-quality information, and developing strategies and tools for eliminating data that failed to meet these requirements. Keep watching to know more about the steps of this process.
Increased data accuracy:
- Minimizes misunderstanding
- Provides more information
- Ensures relevant business decisions
- Ensures that only valid data is collected
- Provides a united data framework
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