The document discusses decision support systems and expert systems for e-banking in India. It describes how banks have progressed from the information age by collecting transactional data to the knowledge age by storing data in warehouses. It states that banks can now use this stored knowledge and intelligence to drive profits and differentiate services. The document proposes that an expert decision support system solution can help banks consolidate vast data volumes to target the right customer segments for the right banking schemes, helping reduce costs.

1. DECISION SUPPORT SYSTEM
E- BANKING IN INDIA
SUKET GUPTA
141351
Group - xi

2. Transaction Processing System

3. Management Information System
• MIS dimension will
exert positive effects on specific work outcomes, which
reflect characteristics or traits of the relative archetype.
Thus, the rational model, which is focused on planning,
directing, goal setting and external orientation, is the
dominant dimension influencing task productivity.
• Stability, control, order and internal orientations are key
ingredients of the internal process model of MIS
effectiveness, it exerts a negative impact on the external
oriented work metric of task innovation.

4. • Interestingly, internal process model characterized by
stability, control, order and internal orientations, is
negatively associated with task productivity, as opposed to
what expected. The logic behind this finding is that the MIS
capabilities of documentation and tight control impose
employees with work overload and bureaucracy, often
strangling productivity.

5. • The main implication of the findings for bank managers and
information systems’ practitioners is that they have to design
and implement MIS built on the relevant effectiveness
dimensions those are MIS capabilities supporting
innovativeness, creativity and environment scanning (open
system) as well as modeling, optimizing and
forecasting(rational) at the expense of internal controlling,
monitoring, excessive documentation and stability (internal
process).

6. DSS

7. Interest rate calculator

11. ESS
• Indian Banks today are set to enter the ‘intelligence’ age. Before the days of
computerization, Banks had a lot of ‘raw’ data in the form of manual accounts ledgers,
registers, and various reports. After computerization this data was fed into basic
automated financial accounting applications, and databases to bring the Banks into the
‘information’ age.
• Banks started using ALPM, TBA, CBS applications, and collected the data into a
repository or warehouse. This was the ‘knowledge’ age.
• Now, Banks can use this knowledge to derive ‘intelligence.’ And this ‘intelligence’ will drive
Banks and profits forward, and be the service differentiator in today’s competitive world.
• Our EDSS Solution can be of great help for Banks, helping them to consolidate the vast
volumes of data, and target the right segment for the right scheme. This success can help
banks in reducing costs tremendously.
• Banks should be able to search for crucial nuggets of information from the vast amounts of
transactional data at its disposal to get the right information, to the right executive and at
the right time. This information can help a bank take critical business decisions in this
financial world.