That’s a great example of why data normalization matters. Breaking multi-value fields like phone numbers into separate, related rows not only improves data integrity but also makes databases far easier to maintain, scale, and query over time. Clean, well-structured data becomes especially important in systems that handle official records and applications—such as government platforms used for processes like nbi appointment scheduling in the Philippines—where accuracy, consistency, and secure updates are critical.
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