Accounting and bookkeeping clerks compute, classify, and record numerical data to keep financial records complete.
They perform any combination of routine calculating, posting and verifying duties to obtain primary financial data for use in maintaining accounting records (ILO, 2018).

RISK PROBABILITY BASED ON THE SEMINAL FREY AND OSBORNE STUDY

Professional Group characteristics and similar occupations

Numerical Clerks

Numerical clerks obtain, compile and compute accounting, bookkeeping, statistical, financial and other numerical data, and take charge of cash transactions incidental to business matters (ILO, 2018).

  • Accounting and Bookkeeping Clerks
  • Statistical, Finance and Insurance Clerks
  • Payroll Clerks
  • Accounts clerk 
  • Bookkeeping clerk 
  • Cost computing clerk

BACKGROUND INFORMATION

Artificial intelligence systems have the ability to store large volumes of data, but also the ability to “learn” from stored data using machine learning technology. The financial sector generates large amounts of data, which allows for the automation of certain processes. Employees in this area have tasks such as, for example, the crossing of invoices with the payments of customers. 

Software can perform this task much faster and at lower cost therefore resulting in the replacement of human work. With intelligent systems predictive analysis becomes easier and more accurate. Large amounts of data can be analysed to identify patterns and predict consumer behaviour. Data entry presented one of the biggest obstacles to full automation and digitization, but machine learning, predictive reading and natural language techniques were developed in such a degree that are now allowing software an acceptable transcription rate (Predictive Analytics Times, 2016). OCR (Optical Character Recognition) scan programmes and QR or bar code documents are making it easier to automatically transfer paper documents into a digitalized format. Moreover, thanks to IoT and to a large number of “connected” devices, data are being transferred directly from one device to another with no need of data entry. 

On the other hand, the knowledge of data entry clerks might be very useful for ICT programmes designers to definite a really quick and easy-to-use interfaces for the end-users, who are to enter data.

However, human accountants are also the trusted advisers of the business owners. This trust link is not yet replicable by intelligent systems or robots.

CASE EXAMPLES

Categories: Skill Level 2