Analysis Of Existing Information System For AMP

Current Information System Analysis

In this report the focus is on analysis of existing information system in AMP which is an invest management and insurance group situated in Australia. The study is being conducted to resolve the issues with existing information system of the organization and recommend a new design with the help of “TO BE” business process model. The time management plan is also being prepared to carry out this study and development of this paper. The “AS IS” and “TO BE” Process is also compared in section 3 of the paper to differentiate the proposed changes that could be made in the AMP existing information system. The physical and logical network topology has also been prepared for the organization so that they are able to execute the entire process. In section 5 of this paper the discussions are carried out on the specific group of people who will require training to operate the new system. The later section is followed to demonstrate a plan for system changeover so that it enables the incorporation of the “TO BE” process in the organization. A report has been prepared in section 8 for reporting on the proposed information system and how it can be used to uplift the business processes within the organization.     

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In this section, a plan for conduction of the study to propose the design of a new information system to support the business processes within the organization have been prepared. A Work Breakdown Structure (WBS) is designed to provide a plan to manage time effectively and ensure successful completion of this study. The WBS provides a high level detailed description of the activities with proper dates and timelines that have to be followed to ensure successful completion of any project. In context to the case of AMP for suggesting a new information system design, the WBS has been prepared as below:

WBS

Task Name

Duration

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Start

Finish

Predecessors

Resource Names

0

AMP information system analysis and design project

52 days

Mon 3/20/17

Tue 5/30/17

1

   Preliminary phase

12 days

Mon 3/20/17

Tue 4/4/17

1.1

      Selection of organization

2 days

Mon 3/20/17

Tue 3/21/17

Researcher

1.2

      Determination of issues with existing information system

3 days

Wed 3/22/17

Fri 3/24/17

2

Researcher

1.3

      Identification of stakeholders

2 days

Mon 3/27/17

Tue 3/28/17

3

Researcher

1.4

      Determining feasibility

2 days

Wed 3/29/17

Thu 3/30/17

4

Researcher

1.5

      Risk analysis

3 days

Fri 3/31/17

Tue 4/4/17

5

Researcher

2

   Implementation phase

18 days

Wed 4/5/17

Fri 4/28/17

2.1

      Prepare plan for time management

2 days

Wed 4/5/17

Thu 4/6/17

6

Researcher

2.2

      Design “TO BE” process diagram

3 days

Fri 4/7/17

Tue 4/11/17

8

Researcher

2.3

      Comparison of “AS IS” and “TO BE” process

4 days

Wed 4/12/17

Mon 4/17/17

9

Researcher

2.4

      Selection of physical network topology

2 days

Tue 4/18/17

Wed 4/19/17

10

Researcher

2.5

      Selection of logical network topology

2 days

Thu 4/20/17

Fri 4/21/17

11

Researcher

2.6

      Testing phase

5 days

Mon 4/24/17

Fri 4/28/17

2.6.1

         Determination of testing to be used

2 days

Mon 4/24/17

Tue 4/25/17

12

Researcher

2.6.2

         Identification of test data to be used

3 days

Wed 4/26/17

Fri 4/28/17

14

Researcher

3

   Training phase

16 days

Mon 5/1/17

Mon 5/22/17

3.1

      Determining required group of people

3 days

Mon 5/1/17

Wed 5/3/17

15

Researcher

3.2

      Identification of training type to be used

4 days

Thu 5/4/17

Tue 5/9/17

17

Researcher

3.3

      Recommending topics to be covered for training

4 days

Wed 5/10/17

Mon 5/15/17

18

Researcher

3.4

      Developing plan for system changeover

5 days

Tue 5/16/17

Mon 5/22/17

19

Researcher

4

   Closure phase

6 days

Tue 5/23/17

Tue 5/30/17

4.1

      Development of report for top management

4 days

Tue 5/23/17

Fri 5/26/17

20

Researcher

4.2

      Drawing a conclusion to the study

2 days

Mon 5/29/17

Tue 5/30/17

22

Researcher

From the development time management plan it has been found that this study required 52 days for successful completion starting from 20 March 2017 to complete on 30 May 2017. 

The “AS IS” process being designed in context to the existing information system of AMP, it has been identified that there is no process to invest by evaluating the generation of profits as there is no involvement of financial securities. Hence in the “TO BE” process being developed in this study, financial securities have been involved to determine the profits from stocks, bonds and shares so that the investors can easily income profits. The “AS IS” process also does not provides acknowledgment to the investors about their profits and consult whether to invest their money. The “TO BE” process involves the requirement of acknowledging every step by the investors prior to investment by the entities involved in the mutual fund investment process.  

TO BE Business Process Model

Fund Family

Attribute

Data Type

FF ID (PK)

int (20)

Name

Varchar (20)

Description

Varchar (20)

Mutual Fund

Attribute

Data Type

MF ID (PK)

int (20)

Name

Varchar (20)

Description

Varchar (20)

Asset class code

Varchar (20)

Fund risk code

Varchar (20)

Base currency

Varchar (20)

Mutual Fund Series

Attribute

Data Type

S ID (PK)

int (20)

FF ID (FK)

int (20)

Name

Varchar (20)

Description

Varchar (20)

Create date

date

Fund risk code

Varchar (20)

Minimum initial investment

int (20)

Minimum additional investment

int (20)

Series

Attribute

Data Type

S ID (PK)

int (20)

Name

Varchar (20)

Description

Varchar (20)

Switch fee

int (20)

Series purchase option

Attribute

Data Type

SPO ID (PK)

int (20)

Offering currency

Varchar (20)

Training commission

int (20)

Sales change option

Attribute

Data Type

O ID (PK)

int (20)

Name

Varchar (20)

Description

Varchar (20)

Investment category

Attribute

Data Type

C ID (PK)

int (20)

Name

Varchar (20)

Fund Investment Mix

Attribute

Data Type

FIM ID (PK)

int (20)

Category weight

Varchar (20)

The various types of testing that have to be performed on the proposed information system for AMP are provided as below:

Acceptance Testing: Formal testing is coordinated to choose if a framework satisfies its affirmation criteria and to engage the customer to choose if to recognize the framework (Valacich, George and Hoffer 2015). This testing method is commonly performed by customer delegates.

Alpha Testing: A product testing rehearse that takes after the standards of the nimble pronouncement, accentuating testing from the point of view of clients who will use the system. This sort of testing is typically performed by QA groups.

Backward Compatibility Testing: A testing strategy which confirms the conduct of the created programming with more established adaptations of the test condition (Dennis, Wixom and Tegarden, 2015). This testing procedure is performed by testing groups.

Beta Testing: Last testing before discharging application for business reason. This testing procedure is ordinarily done by end-clients or others.

Black box Testing: A procedure for programming testing that affirms the handiness of an application without having specific data of the application’s code/inside structure. Tests rely on upon necessities and helpfulness (Wasson, 2015). This testing technique is performed by QA gatherings.

Compliance Testing: This type of testing checks whether the system was created as per benchmarks, techniques and rules. This testing procedure is normally performed by outer organizations which offer “Guaranteed OGC Compliant” brand.

The types of test data that will be used for testing the new information system for AMP are listed as below:

Substantial test information: It is important to confirm whether elements of the system are in consistence with the prerequisites and the system procedures and stores the information as expected.

Invalid test information: It is important to ensure that the product effectively forms invalid esteems, demonstrates the pertinent messages, telling the client that the information are uncalled for (Khalili and Duecker 2013).

Boundary test data values: Surrenders associated with preparing limit esteems are visit.

Wrong data formats: It is perceptive to check how the system responds on entering information in an improper arrangement, regardless of whether it demonstrates the right mistake messages.

Absent data: It is a decent practice to confirm how the item handles entering a clear field in course of versatile application testing, desktop testing or site testing.

Network Topology

System testing enables to test, favor and affirm both the application Architecture and Business necessities. The framework is to be attempted in a circumstance that particularly takes after the capable creation condition where the item will be at long last passed on (Chitchyan et al. 2015). Overall, an alternate and gave gathering is responsible for framework testing. Framework Testing is performed on sorting out server which resembles era server. So this suggests you are having a go at programming application commensurate to generation condition.

The groups of people that will require training on the new information system are listed as below:

  • Administrators: The administrator is that person responsible for operation and maintenance of the information system. This person will also be involved in data backup and recovery for the new system.
  • Investors: These are the users of the system or customers that will be investing and utilizing the system to carry out their investments in mutual funds.
  • Fund Managers: This person will be a third party user of the system and will help to connect the investors with various financial securities to ensure generation of profits.

As innovations change, numerous organizations wind up expecting to change over their PC data systems. Overhauling these systems helps them advance their proficiency and stay focused. Normal changeover regions incorporate security systems, database systems, bookkeeping systems and administrative data systems (Montgomery 2017). Choosing which changeover strategy will work best for a specific organization relies on upon the sort of changeover and level of hazard for the organization.

With a pilot changeover, the new system for AMP will be tried for at a test site before impelling extensive. For example, a bank may first test the framework at one of its branches. This branch is implied as the pilot, or beta, site for the program. Since parallel changeovers tend to be expensive, using the pilot changeover technique empowers associations to run the new framework by their old yet on a considerably more diminutive scale (Jorgensen 2016). This makes the pilot changeover method extensively more monetarily canny. After the wrinkles are worked out of the framework at the test site, associations generally select to use the quick changeover strategy to dispatch the framework sweeping.

To,

The Chief Executive Officer (CEO)

AMP

Dated: 30 May 2017

Subject: Report on new information system analysis and design for AMP

The objective of this report is to present the findings and analysis that have been gathered from the study to implement a new information system for the organization. This report will help to understand the scope of implementing the new system into AMP to uplift the current business processes within the organization.

This study has been performed to evaluate the effectiveness of the proposed system for the organization. The new business process have been designed to ensure success of the mutual fund investment process within the organization with more involvement of the investors. The proposed system will support the needs of the organization as well as the investors.

Training for the New System

Firstly, a time management plan was being developed to carry out the study successfully then the new business process was being designed. The designing of the new business process helped to determine the physical and logical network topology required for the organization. Then the testing of new system was being planned by determining the various types of tests and test data that will be used. After testing phase, the identification of the people that will require training have been done. Finally, a method has been defined to manage the change in the system of the organization.

The scope of this study comprises of designing a new information system to support the business processes within the organization. The development of the new system will improve the existing business processes as well as attract more investors to invest in mutual funds by joining with the organization.  

  • Circulate notification among the employees and various stakeholders associated with the organization to aware about implementation of the new system.
  • Improve the technical areas of knowledge among the employees in the organization.
  • Arrange for proper training programs to train the employees with operation of the new system.

Conclusion

From the development of time management plan to complete the study it has been identified that it required 52 days to accomplish this project. The comparison between “AS IS” and “TO BE” process it has been identified that in the “AS IS” process there was less involvement of the investors after investing their money. However, the modifications being reflected in the “TO BE’ process shows that there is involvement of investors at every step of the mutual fund investment process. The testing that have to be performed for the new information system along with the types of test data that have to be analyzed are presented. 

References

Buede, D.M. and Miller, W.D., 2016. The engineering design of systems: models and methods. John Wiley & Sons.

Chitchyan, R., Rashid, A., Sawyer, P., Garcia, A., Alarcon, M.P., Bakker, J., Tekinerdogan, B., Clarke, S. and Jackson, A., 2015. Survey of aspect-oriented analysis and design approaches.

David, O., Ascough, J.C., Lloyd, W., Green, T.R., Rojas, K.W., Leavesley, G.H. and Ahuja, L.R., 2013. A software engineering perspective on environmental modeling framework design: The Object Modeling System. Environmental Modelling & Software, 39, pp.201-213.

De Lemos, R., Giese, H., Müller, H.A., Shaw, M., Andersson, J., Litoiu, M., Schmerl, B., Tamura, G., Villegas, N.M., Vogel, T. and Weyns, D., 2013. Software engineering for self-adaptive systems: A second research roadmap. In Software Engineering for Self-Adaptive Systems II (pp. 1-32). Springer Berlin Heidelberg.

Dennis, A., Wixom, B.H. and Tegarden, D., 2015. Systems analysis and design: An object-oriented approach with UML. John Wiley & Sons.

Fenton, N. and Bieman, J., 2014. Software metrics: a rigorous and practical approach. CRC Press.

Fuggetta, A. and Di Nitto, E., 2014, May. Software process. In Proceedings of the on Future of Software Engineering (pp. 1-12). ACM.

Hassan, M.M., Afzal, W., Lindström, B., Shah, S.M.A., Andler, S.F. and Blom, M., 2016, April. Testability and software performance: a systematic mapping study. In Proceedings of the 31st Annual ACM Symposium on Applied Computing (pp. 1566-1569). ACM.

Jorgensen, P.C., 2016. Software testing: a craftsman’s approach. CRC press.

Khalili, N.R. and Duecker, S., 2013. Application of multi-criteria decision analysis in design of sustainable environmental management system framework. Journal of Cleaner Production, 47, pp.188-198.

Lewis, W.E., 2016. Software testing and continuous quality improvement. CRC press.

Montgomery, D.C., 2017. Design and analysis of experiments. John Wiley & Sons.

Tsui, F., Karam, O. and Bernal, B., 2016. Essentials of software engineering. Jones & Bartlett Learning.

Valacich, J.S., George, J.F. and Hoffer, J.A., 2015. Essentials of systems analysis and design. Pearson Education.

Vyatkin, V., 2013. Software engineering in industrial automation: State-of-the-art review. IEEE Transactions on Industrial Informatics, 9(3), pp.1234-1249.

Wasson, C.S., 2015. System Engineering Analysis, Design, and Development: Concepts, Principles, and Practices. John Wiley & Sons.

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