1.
What
were the problems faced by Income in this case? How were the problems resolved
by the new digital system?
Lack of flexibility, poor connectivity to the
Internet, costly hardware and software maintenance, lack of hardware support,
and frequent breakdowns of the mainframe that would bring operations to a
grinding halt were some of the problems faced by Income due to the legacy
system. New product development was also quite cumbersome and coding in COBOL
was time consuming. In addition, transaction processing for policy underwriting
was a batch process and information to agents and advisors was not available in
real-time. Since data was not captured in real time, various departments did
not have up-to-date information. This required passing of physical documents
among the departments and hence slowed down the work processes. Furthermore,
due to interdependencies among departments in updating policy information, the
business processes were complicated and tedious.
As the new system was operational on
high-availability platform with application residing on two or more servers;
this robust architecture minimized downtime occurrence due to hardware or
operating system failures. The business processes were also streamlined and the
straight through workflow processing capabilities of the eBao system brought
significant savings in time and cost needed to process policies.
2.
What
types of information systems and business processes were used by Income before
migrating to the fully digital system?
Before
migrating to the fully digital system, Income had been using a manual
paper-based insurance system running on HP3000 S969 mainframe that housed the
core insurance applications as well as the accounting and management information
systems. Most of these applications were developed by Income’s in-house IT team
in the early 1980s using COBOL.
The business processes were tedious and
complicated. The insurance process involved customers meeting an agent, filling
forms and submitting documents. The agent would then submit the forms at branch
offices from where they were sent by couriers to the Office Services
department. The collection schedule could introduce delays of 2-3 days. Office
Services would log documents, sort them, and then send them to departments for
underwriting. Proposals were allocated to underwriting staff mostly randomly.
Accepted proposals were sent for printing at Computer Services and then
redistributed. For storage, all original documents were packed and sent to
warehouses where, over 2-3 days, a total of 7 staff would log and store
documents. In all, paper policies comprising 45 million documents were stored
in over 16,000 cartons at three warehouses. Similarly, whenever a document
needed to be retrieved, it would take about 2 days to locate and ship it by
courier. Re-filing would again take about 2 days.
3.
Describe
the Information systems and IT infrastructure at Income after migrating to the
fully digital system?
The new eBao LifeSystem was based on
Java technology and comprised three subsystems – Policy Administration, Sales
Management and Supplementary Resources.
The entire IT infrastructure was
revamped and was replaced with a more robust, scalable architecture. For
example – all servicing branches were equipped with scanners, monitors were
changed to 20 inches, PC RAM size upgraded to 128 MB, new hardware and software
for application servers, database servers, web servers, and disk storage
systems was installed. Furthermore, the LAN cables were replaced with faster
cables, a fiber-optic backbone, and wireless capability. In addition, Income
also revamped its business continuity and disaster recovery plans. A real-time
hot backup disaster recovery center was implemented where the machines were
always running and fully operational. Data was transmitted immediately on the
fly from the primary data centre to the backup machines’ data storage.
4.
What
benefits did Income reap from the new system?
With the successful implementation of
the eBao system, Income obtained significant benefits in terms of higher
efficiency and performance with a reduction in both operational and hardware
cost.
Improvement in System Availability: The new system was operational on
high-availability platform. All applications resided on two or more servers,
each connected by two or more communication lines, all of which were ‘load
balanced’. This robust architecture minimized downtime occurrence due to
hardware or operating system failures. Similarly, the operations could be
switched quickly to the new disaster recovery site without the need to rely on
restoration of previous day data.
Improvement in System Connectivity: The
Life System used by about 500 office staff and 3,400 insurance advisors could
be accessed anytime, anywhere with a web browser.
Process Efficiency and Cost Savings: As the new system provided a singular
view of customer across products and channels, opportunities to cross sell and
increase in customer service was made possible. The straight through processing
workflow brought 50 percent savings on both the time and cost needed to process
policies. Also, the time needed to design and launch new products was reduced
from weeks to just days using the table-driven rule-based product definition
module.
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