What are common errors or inconsistencies found in phone number datasets?

[mostakimvip06]

Phone number datasets, especially those collected from various sources or over time, are notoriously prone to errors and inconsistencies. These issues can severely impact data quality, lead to communication failures (undelivered calls/SMS), frustrate users, and even pose security risks.

Here are some of the most common errors and inconsistencies found in phone number datasets:

Inconsistent Formatting: This is perhaps the most widespread issue.

Varying Separators: Numbers might be stored canada number database with different delimiters: +8801712345678, +880-171-234-5678, (880) 171-234-5678, 01712 345678.
Missing or Incorrect International Prefix: Numbers might be stored without a leading + sign or with an incorrect international access code (e.g., 00880... instead of +880...).
Local Dialing vs. International: Numbers might be stored in local dialing format (e.g., 01712345678 for Bangladesh) instead of the international E.164 standard (+8801712345678), making them unusable for international calls without prior knowledge of the origin country.
Extraneous Characters: Inclusion of non-digit characters like letters (+8801712345678ext123), special symbols, or currency signs.
Missing or Incomplete Data:

Blank Fields: Phone number fields might be empty or null, indicating data was never collected or was lost.
Partial Numbers: Only a portion of the number might be present (e.g., just the area code, or a local number without a country code or area code).
Incorrect Lengths:

Too Short/Too Long: Numbers might have too few or too many digits compared to the standard length for a given country. For instance, an 11-digit Bangladesh mobile number might be entered as 10 digits