19 October 2024

Data Entry

One of the simplest jobs in adminstration is of a data entry. The primary skills required are accuracy to detail and typing skills. Hiring an irresponsible person can mean applications get rejected because of sticky finger errors. Applications can imply anything that require a form. This can range from loans, bank account forms, immigration/visa forms, job forms, vetting forms, insurance claims, health forms, academic forms, and other applications. Incorrect entry of customer details can mean non-compliance to GDPR as it is all about storage and processing of correct personal information. It also means perfectly good applications get rejected, with bad service, and a very frustrated customer. Even replacing human data entry with AI can further compound the issue with an element of complexity if the model has high false-positives and false-negatives. The below outline some examples where system and human errors lead to incorrect processing, storage, and ultimately rejection of applications:

  • When proof of documents have numbers in different currencies and the system says they don't match
  • When a number is called out as incorrect even after providing proof of documentation with the correct number on it, even worse if the same proof is provided multiple times
  • Making assumptions about what the customer meant rather than what is actually on the form
  • Incorrectly inputting the correct details from the form
  • Giving the customer the runaround to provide documentation which has already been provided multiple times
  • Unable to use basic common sense when processing customer data forms
  • Flagging a customer based on an incorrect data input then blaming the customer for it
  • Incorrectly inputting the form data while half asleep
  • Losing the customer form and expecting the customer to fill out another form
  • Asking for the same information over and over without bothering to read the document
  • Confusing one application form with another
  • Rejecting an application by incorrectly mixing up details across two separate application forms
  • Providing customer with reasons to decline the application that relate to another customer
  • Sharing one customer details with another customer in the feedback
  • Trying to correct the spelling of someone's name as if the customer would not know how to spell their own name
  • Inputting month before the day, and day before the month without bothering to check for correctness between the form and the system
  • Leaving out critical information from the form
  • Badly worded forms get filled incorrectly which means lots of declined applications
  • Some of the most irresponsible and negligent are credit reference agencies who don't even have the basic systems in place to properly resolve, update, verify, validate, store, and process customer data accurately. Individuals as members of public have to chase up for errors and corrections on simple things like names and addresses which shows how credit reference agencies fail in their most basic role of proactively practicing due care for the protection of customer data.