Data coding involves creating simple numeric or alphabetic codes to represent complex economic phenomena that facilitate efficient data processing. Which problem does data coding solve?

Data coding involves creating simple numeric or alphabetic codes to represent complex economic phenomena that facilitate efficient data processing. Which problem does data coding solve?

• A. Items sold can be properly identified and entered onto source documents.
• B. An entry takes a great deal of recording space, is time-consuming to record, and is prone to many types of errors.
• C. Postings to ledger accounts require minimal searching through the subsidiary files using small descriptions as the key.
• D. Locating and picking goods for shipment is efficient, and shipping errors are unlikely.

Answer: (B)

Data coding speeds data processing by turning lengthy, descriptive information into compact, standardized codes. When you record transactions with long product names or other verbose details, the entries take more space on source documents and in files, and there’s a higher chance of mistakes during data entry. Using codes reduces the amount of data that must be written and stored, makes entry faster, and lowers the likelihood of errors because the codes are consistent and easier for the system to validate and match. This directly addresses the described problem: recording can be space-consuming, time-intensive, and prone to errors without codes. Other options describe outcomes or processes that aren’t the primary issue data coding fixes in this context.

Data coding speeds data processing by turning lengthy, descriptive information into compact, standardized codes. When you record transactions with long product names or other verbose details, the entries take more space on source documents and in files, and there’s a higher chance of mistakes during data entry. Using codes reduces the amount of data that must be written and stored, makes entry faster, and lowers the likelihood of errors because the codes are consistent and easier for the system to validate and match. This directly addresses the described problem: recording can be space-consuming, time-intensive, and prone to errors without codes. Other options describe outcomes or processes that aren’t the primary issue data coding fixes in this context.