Data Processing has changed greatly over time. While one can track the
beginnings of the modern analytical computer to Charles Babbage
(1791-1871), we really saw the beginning of modern day information
systems during World War II when they were used as code busters. After
the war, few anticipated how much computers would affect our lives.
Early on even IBM thought that there would only be a handful of
companies that would need a computer.In those days, computers were
massive systems based on vacuum tubes and core memory. With the advent
of the integrated circuit, computer architectures took a giant leap
forward. The mainframe systems of the late 1980’s evolved into
Client/Server applications of the early 1990’s. In parallel, the
Internet grew from a few engineer and research systems to a World Wide
network. It wasn’t until an Al Gore authored bill allowing commerce to
be carried out over the Internet did things really start to change.
Every business, every organization, had to carve out a space on “The
Net.”The ubiquitous nature of The Internet made it the perfect way for
business to have a global reach while maintaining a local presence.
Soon, application vendors were making Internet based applications.
Today, solution providers are exploiting service oriented architectures
and BPEL to provide more agile environments in which to do
business.Today, combining Internet access with massive, inexpensive
compute power, data processing has been transformed from an ancillary
function of accounting departments to mechanisms by which organizations
can transform and enhance their internal processing while integrating
their interactions with customers and suppliers.The key to modern day
data processing is not simply the automation of some manual process.
Today, business realizes that data processing, information systems,
change the very processes that are used to run the business. They not
only do same things more efficiently, the do thins differently.In the
past an order was printed and sent to a supplier. The order was received
and, if the item was in stock, it was shipped. Items not in stock
were placed on back order. Today with Supply chain integration, the
entire supply chain is integrated into one network. Warehouse
management software notifies suppliers when stock levels drop and
order are placed. The suppliers themselves use data mining and CRM
(Customer Relationship Management) software to predict ordering
patterns and anticipate customer needs.Even how businesses interact
with their customers has changed. In the past, businesses used mass
marketing to appeal to the greatness number of possible customers.
Today, we have mass customization where businesses on a group basis
provide customized goods and services.
1 comments:
Informative read describing the evolution of Data Processing. The methods of data processing changed time to time and these days business realizes that data processing and information systems change the very processes that are used to run the business. Thanks for sharing such useful information with us.
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