Data Banks generally utilize this method of data

Data
processing is the alteration of facts and data into the functioning, usable and
estimated form. This alteration or dispensation is carried out by utilizing a
predefined plan of procedures either carried out manually or electronically.
Actually, the data processing is completed by using processers and is also done
consistently in order to get better results. The production of the processed
data is achieved in variable desired forms and layouts dependent upon the
software or the mode of data handling being used. 

Data processing methods

We Will Write a Custom Essay Specifically
For You For Only $13.90/page!


order now

1.      Manual Data Processing

The calculations as well
as the logical operations along with data transference is done manually. This
is the slowest data handling process but errors are the main reason why it has
been obsolete since quite some time now. Small businesses as well as government
offices use this system of data management.

2.      Mechanical Data Processing

This is a more accurate
and faster than manual systems which is due to invention and evolution of
machines with better computing and recording power. Printing press as well as
examination boards use this method of data management.

3. Electronic Data
Processing

EDP is the contemporary method to process data. The data usually is
processed through a digital computing device and all the data is handled
automatically. Banks generally utilize this method of data management in order
to acquire error free data processing.

Advantages

Provides latest and needed material and data only
The material is readily accessible for instantaneous
decision-making
Delivers improved services to the data handlers.
Speedy, consistent as well reliable data
Decreases movement of hardcopies of the data as it is
easier for soft data to float.

Disadvantages

Necessitates the multifaceted data and is very costly
and expensive
It is not so laidback and easy to grow or develop
Actual systems typically utilize a couple of processors
in order to share the assignments and workload which is also extremely
expensive as well as time taking
Requires some outsized and extensive communication tools.