1. PROJECT-Glyndwr Bank’s Management
Information System(MIS)
IT MANAGER’S ROLE
1 Group Objectives
To develop a Management Information System (MIS) for Glyndwr Bank for their daily Operations and
have applications under development that are vital to their competitive success. Primarily focusing on
strategy formulation, policy and control, designed to deliver increasing value to stakeholders and
customers. The MIS system developed would have capability to alter core organizational directions,
reorient corporate strategies and redefine industry structure.
2 Individual Objectives
IT Manager
To lay out a framework for understanding the positioning of the company’s existing system for
designing appropriate planning and control systems for migration of data into the new MIS system.
Consider a MIS system that allows
Collection and storage of data
Transform these data into business information useful for decision making
Provide controls to safeguard data
Automate and streamline reporting
3 Key Features
Enhance communication among employees.
Deliver complex material throughout the institution.
Provide an objective system for recording and aggregating information.
Reduce expenses related to labor-intensive manual activities.
Support the organization's strategic goals and direction
4. 5 Portfolio of evidence: IT Manager
MIS ‘Management Information Systems’ is an assortment of data, processes, applications, procedures and
technology to run a system in its most efficient form [4]. The architecture of a MIS is composed of
different layers and is heterogeneous by nature. It must integrate well with the following components –
Data Warehouse, Front End Applications, Operational Databases, Transformational Layers and Data
Access Layers – Data Mining, RDBMS, OLAP and Operating platforms.
Figure 1: Architecture of MIS in a Bank [1]
Operational Layer of a MIS is composed of applications that perform the day to day functionality. OLTP
‘Online Transaction Processing’ helps with regular monetary transactions that correspond to Cheque
payments, Routine transactions, Deposits, Loans and Peripheral Transactions. The newer versions of MIS
are coming with technologies such as ETL ‘Extract Transform & Load’. Unlike the primitive forms,
the MIS is better equipped to integrate data and transform it for user customization. Most important, data
can be converted to a more feasible and usable form for taking business decision.
5. Also, the banks are moving towards utilizing Analytical Databases as part of the MIS software. The new
age solutions on Business Intelligence can accommodate terabytes of information and process it as per
user specifications. For instance, one can see the data in terms of:-
Number of customers who can buy a Term Plan in the age group of 50 years at a particular city
Profile of customers who qualify for a certain debt in the business sector at a city
The risk indicators at a city that outline default payments based on last 5 years period
Probability of reaching a target audience for a certain promotional campaign under a given budget
Such tools are found to very effectively present information in a way that suits decision making. This has
gotten better with the introduction of concepts such as Online Analytical Processing [OLAP]. Imagine,
a front desk executive being able to comprehend information which only a senior manager can extract.
Decentralization can thus be achieved on all ends. Technologies such as OLAP have allowed the users to
become analysts, decision makers and strategists. MIS should act as an interface that virtually
communicates with the user and extracts data as meaningful information. Still, most banks are
emphasizing on using spreadsheets as part of routine functioning. Evidently MIS is expected to make the
system more ‘objective’ and driven by efficiency gains. ETL and OLAP would take the centre-stage in
the future to come. The banks would see multi-dimensional and multi-factorial representation of
information. Especially the information can be filtered and refined as per C-score of a customer,
Performance Indicators and Transactional History.
As the technology proceeds, banking operations would further be fortified by technologies such as Data
Mining and Data Warehouses.
Data Warehouse helps optimize data management in the most efficient form. More and more banks are
now utilising data warehousing as an analytical tool for not just storing data but to also assist the decision
making process. A large volume of data can now be extracted in a customized fashion. To take the
technology ahead, Data Mining helps in identifying key indicators, patterns, trends, variables and
characteristics out of a ton of data. One can find miniscule information in a fraction of second by just
typing a string of text and applying it to the entire server database. Data mining is based on SQL
‘Sequential Query Language’ and ‘Statistical Algorithms’ for extracting specified information. MIS has
evolved and this shown with the developments in the field of Artificial Intelligence. The new age
software would automatically warn you of any possible mistake or dysfunction. Banks can benefit from
such technological advancements in the field of fraud detection and identity establishment.
Imagine, an executive being able to judge the ‘eligibility’ of a particular client on receiving a business
loan. MIS should be able to work out transactional history, demographic data, default status and current
financial records to indicate a Red or a Green. Such tools help a bank in significantly reducing the costs
incurred and time spent on clerical activities.
The future of MIS depends hugely on its ability to communicate with other technologies. As the world
gets information savvy, the customers too have become information savvy. Mobile banking, Smart
Phones and Plastic Money have dominated the scene on banking transactions. The Layer for Access on
MIS acts as the interface for making all this possible. User identity needs to be confirmed based on
6. authenticated data and credible information. In time to come the technology would get more sophisticated
and present opportunities in the field of data cognition. All this has to be user friendly, intuitive and
precise.
Apparently, MIS would be evaluated on key functionalities:-
Reporting
Sequential Query Language, Data Mining and Data Warehousing have literally transformed the reporting
procedures in a bank. MIS needs to inculcate such technological marvels in order to make the bank
technologically more evolved.
Decision Making
What makes MIS a necessity for banking business is its ability to assist decision making. Decentralization
can actually be observed at the work place with the advent of OLAP and ETL. A Front desk executive is
more prepared to take critical decisions on loan eligibility, overdraft or capital disbursement.
Customer Segregation
Strategic Decision making rests on precision. It is very important that marketing campaigns and
marketing services are targeted to the most ‘susceptible’ audience. A bank needs to segregate its
customers on the basis of demographic, transactional and geographic data. Further, the products and
services should be made available to only those who actually listen or respond to the content. MIS can be
a very effective mechanism for inducing such developments in the banking sector.
6 Defence & Justification
The implementation will provide the bank with an automated system that reduces manual
effort to streamline its operations.
The benefit envisaged by the bank is that everybody being on the same system, it can be
accessed by anyone on the different locations of the bank.
The users at the bank would include traders, dealers and risk managers.
The solution will result in smoother deal processing, with verifying and online risk
monitoring mechanism.
It will streamline all operations and the risk mechanism can be monitored centrally.
7. APPENDIX
Minutes of Meeting
Day: 28/07/2014 1st Meeting
1. Believe Varghase left group with the excuse that he is thinking something else and we,
Zeeshan, Mohiuddin, Divyaand Ade sat today
2. I discussed my role as an ITManager how I would implement the new MIS (Management
Information System) with the group members for 22mins from 13:30pm, Mohiuddin
discussed his role as a Supplier with us while explaining about how he woulddeliver it for
15mins from 13:52pm , Champi shared his role as a Consultant for20mins from14:02 pm
regarding how he wouldmake strategies for the GUL bank and to suggest, evaluate bank’s
application portfolio
Day 29/07/2014 2nd Meeting
3. Today Zeeshan discussed new idea regarding “Portable/Mobile Self Paid Cheque Machine”
and discussed the idea with the group members for 35mins from 17:00pm
4. Mohiuddin shared his idea about how he woulddeliver the quality softwares such as retail
version,OEM(Original Equipment Manufacturer), MAC or other versions Server or client to
group up with the new system. Machines such as Intel or AMD (Age Related Macular
Degeneration) based system .He talked about hardware of computer which willbe dealt by
him to deliver quality whichcould improve customer service area and to stay more secure
with the new MIS for 25mins from 17:35pm
5. Champi discussed about the sustainability of banks with different applications portfolioin
the market and how to stay up to date with our competitors in the market while no
compromise on customer’s quality service and their retention ratio for38mins from
18:13pm
Day 30/07/2014 3rd Meeting
6. Today all group finalized their roles to perform for the GUL bank with new MIS .
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