Common Mistakes in IT Practice (8) Proofread by Counterparts to Avoid Mistakes

Having a counter part to do the proofreading is very important because, in psychology, most people would forgive oneself and put the blame on others. With this nature of human weakness, we seldom could trace our own mistakes. Nowadays, though having more advanced IT and almost everybody could be a computer user, unfortunately, most people overlook the importance of data control and proofreading. This is why there are so many mistakes in the business world.

Common Mistakes in IT Practice (7) Identification Missing - Who Knows Your?

Though computer technologies are far advanced than before, computing learners always overlook to leave the filename and the username on the header or the footer of the printed pages for identification.

Common Mistakes in IT Practice (6) Quality Control

Control in every stage of data processing (DP) is a must for high quality information production.

Common Mistakes in IT Practice (5) Standardization of Codes

Standardized code is very important because it is used for tracing the categories.

Common Mistakes in IT Practice (4) Why Need FMS Concept?

File management system (FMS) concept has to be taught first; otherwise students might develop irrelevant data files which could not be integrated into the master file easily, causing greater effort at higher cost to trace and rectify errors after then.

Common Mistakes in IT Practice (3) Why Need Keeping the Source Document?

Since nowadays’ young people is not so responsible as their earlier generations, the information processing (IP) production supervisor had to make a copy of the source documents in order to trace the validity of the data entered, otherwise the database might turn into a mess and is useless.

Common Mistakes in IT Practice (2) Mal-management in DP

Developing a database is not an easy task because it needs all frontline staff involved to have the database concept in order not to screw up the data. In computing history, many firms developing database systems wasted much of their resources due to mal-management in data processing.