The purpose of this handout is to outline the architecture and strategy report assignment. This assignment requires students to use concepts from enterprise architecture and IS strategic planning to consider their personal situation and provide a suitable plan for the next three to five years.
This assignment is intended to cover the full range of your personal situation with respect to information and its management – this will include any technology, insomuch as it relates to information processing and storage (such as home computers, laptops and home networks; and any mobile devices that you may have including smart phones and tablets) and any other storage media that you use to store relevant information. Where you store personal information online, you should include this in the review. There is no need with this review to include information about you that is stored by others (for example, the University keeps information on students, but this is not expected to be covered by this review). You should also avoid including work related activity in this review.
You should submit a report that includes the following:
- a brief outline of your current information systems architecture, formulated using a recognised enterprise architectureframework;
- an outline of the future desired architecture, along with information on the main inputs used to formulate this architecture, including a short list of current and anticipated future needs/desires. This should be supported by a SWOT analysis and a gapanalysis;
- a statement of the main strategies that you will adopt to transform the existing situation into the proposed future architecture. These strategies should be concrete enough for appropriate action and include some KPIs that would enable progress to bemonitored;
- a reflection on the process used, using an evidence base to evaluate both the process and the outcomes. This is an important part of the assignment and should not be neglected.
Strategic Information System Planning
Strategic Information system planning refers the process of integrating information system and database information through more advance and efficient network based data collection, database management and data processing operation in order to improve the data and information handling within a business organisational structure (Cassidy 2016). The cardinality of different data sates id relies on the Enterprise Architecture. Some technical components of this Information Technology are client server approach, object oriented programming, Normalised DBMS, Data structure and database architecture. The Information System Strategic Planning can help a business organisation to improve their operational integrity through incorporating several new technologies such as ERP, SOA, Cloud, Big data, WMS, BPM and other within the operational departments such as Human Resource, Accounts, Sales, Marketing and promotion, Production, logistics and others (Qrunfleh and Tarafdar 2014).
In this report, the existing information governing system used by me will be examined and the most suitable Strategic Information System will be planed considering the Enterprise Architecture of me. To examine the current Enterprise Information System the Enterprise architecture framework, SWOT analysis will be used. Gap analysis will be used to find out scope of improvement. In implementation plan the transformation, monitoring and controlling strategy will be discussed. An finally the Good practice adaptation in the system, implementable Conflict negotiation procedures, Positive impact of the process on my information system and the interest of other associated person will be analysed in reflective section.
Being a student my mission is to develop a flawless and profitable utilisation of information system in my regular life and activities flow through adopting new changes in business environment. As a student I have to also developed a competent skill sets and knowledge in order to lead my career successfully while utilising the E-business strategies and business intelligence. Currently I am using a server based database management system to operate large amount of data collectively updated from global sources depending on a third party information technology and communication service provider. The information architecture module includes the internal data such as personal information, financial data, educational progress and external data such as academic report, medical details and others. I usually collect information through regional and national level information portals available in internet system, which are distributed globally. Within operating softwares, platforms used by me like desktop, laptop and mobile phones are connected under certain authentication encryption module. Currently I am using 1 laptop for personal and academic use, 1 desktop for personal use and entertainment purpose and 2 mobile phone. I have different self-maintained websites, email address, information processing software and Data base management system. However, the data expansion, increasing data inputs, fragmented storage system are causing data loss and database redundancy in stored and regularly updated data. As a result, the data fetching operation from my personal data storage unit is taking excessive amount of time.
Personal Situation Review
Enterprise architecture framework (TOGAF)
The existing Enterprise architecture of me and my Information handling System Strategies are complied with The Open Group Architectural Framework or TOGAF.
Enterprise Information System Architecture, vision and requirements |
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Preliminary |
Architecture vision |
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Architecture Principles |
Business strategy |
Technology strategy |
Business Principles, objectives and vision |
Architecture Vision |
Stakeholder |
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Connecting all the information external interface to an effective interactive system |
Update and maintaining regular information handling with reminders |
Adopting advance data operation and information system |
Making progress in my academic and professional life |
Integrated and cooperative information handling and sharing |
Me, my parents, siblings and classmates |
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Architecture Requirements |
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Requirement |
Constrains |
Assumption |
Gaps |
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Quick and error free data flow |
Large volume of data with garbage values |
Adopting data accumulation can reduce garbage data from core DBMS |
Operational failure, Data inconsistency, Redundancy, high latency time |
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Business Architecture |
Information System Architecture |
Technology Architecture |
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Motivation |
Data |
Application |
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Driers |
Goals |
Objectives |
Measures |
Platform Service |
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Progress in academic and professional life |
Increasing data integrity and operational optimisation |
Improving performance, accuracy, quality service |
Data fetching time, processing speed, |
Data Entities |
Information System Service |
Windows for pc, Mac for laptop, Android for phone |
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Personal information, medical details, entertainment files, academic data |
Online traffic monitoring, data fetching, file indexing, record normalisation |
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Organisation |
Logical data components |
Logical application components |
Logical Technology components |
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Organisation Units |
Locations |
Actor Rides |
Data independency, Authentication, Accessibility, Comparison |
File indexing, Sequencing, Record sorting, Updating and deletion |
Pend drives, memory card, external HDD |
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Education, professional process, financial data, calculation, personal data storage, information processing |
My home, academic premises |
IT services, third party server, physical hard drives, non volatile external memory |
Physical Technology Components |
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Function |
Physical data components |
Physical application components |
Computers, Hub, Routers, Reporters, Servers, Storage system, manufacturing equipments, scanning and printing system |
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Business Services, Contracts, Service qualities |
Processes, events, controls, products |
Functions |
Hard disks, server storage, portable storage |
Client server computing, cloud computing, Enterprise resource planning |
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Quality health produces, comprehensive service |
Antivirus, data cleaning, Updating software, |
Data Collection, storage, Editing, fetching |
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Architecture Realization |
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Opportunities, Solutions and Migration planning |
Implementation Governance |
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Capabilities |
Work packages |
Architecture Contracts |
Standards |
Guidelines |
Specifications |
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Using cloud storage system for more efficient data handling |
Data handling, software governance, Cloud operation, System Operational Architecture |
Government cyber security contracts, IT Supply chain contracts |
Primary, secondary, Collective |
Incorporation without changing, Flexible and secure platform, |
Data node connection, Security and governance, data flow control |
SWOT analysis will help to identify the individual advantage, disadvantages and scopes for further improvement of the existing Enterprise Information System Architecture of me:
Strength |
Weakness |
Major strength of this Information system is its flexibility to adopt new properties within it. The Enterprise Architecture is perfectly aligned with the dataflow model of the information system |
The latency time of processing order in purchasing operation is increasing with volume of total data The database management system comprises multiple data redundancy and inconsistent relations and anomalies |
Opportunity |
Threats |
Without changing the supply chain operation new model of data processing can be adopted Advance database system like block-chain, TMS can be incorporated within the existing architecture by partnership with SAP IT service provider |
The increasing global population and the expanding market can make fatal error in file management and even system failure can occur (Petter, DeLone and McLean 2013). Blockage of data supply can reduce the monitoring ability on the market and can weaken the overall business performance |
Gap analysis will allow the management to find the scope for initiating the immediate improvement procedure while avoiding any data loss or system failure
GAP ANALYSIS |
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Area Under Consideration |
Johnson and Johnson is facing data redundancy and inconsistency in their existing Database management system that effecting their logistic operation while making the delayed Purchasing operation |
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Desired State |
Current State |
Action Stapes |
Information fetching rate = 90% |
Information fetching rate = 82% |
Reducing the latency time of data processing with TMS |
Software processing per 1 mb = 5 seconds |
Software processing 1 mb= 10 seconds |
Increase the Data flow with advance file handling |
Data redundancy and inconsistency = 2% |
Data redundancy and inconsistency = 5% |
Increase accuracy through block chain data management |
Data loss = 0.5 % |
Data loss = 2.5 % |
Restrict data operation through blocking data history access |
Reducing the use of Separate storage unites
The excessive bad data delivery caused by separated storage system should be replaced by more advance cloud based data processing and management system. Therefore, the major transition of the information platform of my information usage is to reduce the data flow system through physical storage de by decreasing the data input output operation through it. It will help to reduce the Excessive Bad data delivery and multiple redundancy and inconsistency occurrence.
Blockchain is a ledger system that is able handle and organize database relations in a decentralised and distributive manner while making it immutable and tamper-proof. It operates the new data without changing or auditing the old data set that allows to reduce data loss while improving the data flow speed (Laudon and Laudon 2015). In data management and data transfer operation, Blockchain as well as its transactions and records-centric data storage approach are easily adoptable irrespective of any organisational structure or information system architecture. Through Blockchain, all collected information needs to record transactions and know the status of any product or service at any given time. Blockchain can make Supply chains visible, accurate, and authentic as they deliver information on any single item.
Data storage and Management System is one of the most advanced logistics operation in this globalized business network. With more advance cloud based storing and remote data operation system through mobile softwares, the virtual storage can help me to estimate the resultant time for a database operation accurately (Lee, Bagheri and Kao 2015). Apart from that, Virtual storage allows the data governance to compute the optimum transportation plan for investing the minimum ligancy time in data transfer operation.
Monitoring is one of the most essential part of the database architectural improvement. Appropriate monitoring system allows an organisation to align the improving architecture process with existing Information System and data flow without making any changes to the core operations of the departments. The strategic implementation Key Performance Indicators though Score Card tool. In this strategy the management will look after the transition procedure by reviewing the Scores of each operational departments resulted in scorecard (Rozanski and Woods 2012). The attributes which will meed the KPI threshold will be unchanged and the lacking operations will be enlisted as the operations to be changed.
SWOT Analysis
Controlling the improvement system of Information Architecture is essential to make the operation sustainable and tangible as well. The controlling methods such as training, workforce development, taking It based training, online guidance, motivating should be used by me. Training and development allows the management to increase the work efficiency of the working process. Resourced data reallocation will allow to put the appropriate workforce to appropriate operation. Motivation and empowerment will make me more flexible to adopt new changes and to work with delicacy.
The term good practice emphasise the group of regular activities that can improve the sustainability and growth of certain operations and infrastructure. The set of good practices, which are guided by the management, is known as best practice. As per my experience, Johnson and Johnson adopted two primary and two secondary good practices for their production and logistics department. One of the primary best practices are documenting any additional information that comes with the core order details. The second one is to follow the new data authority system to avoid any initiation failure. In my opinion these two practices will allow the company to have more in depth surveillance and control over the data insertion (Niu, Da Xu and Bi 2013). In the secondary best practices, the management provides a list of code of conducts for information system operation to IT support team that includes the error reporting and repeated database normalisation instruction. I have seen the IT support team to make more transparent and independent query recognition system in purchasing operation though these practices.
Initially the upper level primary stakeholders such as parents, siblings, and friends are highly interested to incorporate new changes. However, the tertiary stakeholders such as classmates, IT support providers are not interested as much as required to execute the initiation procedure. On the other hand, the IT service provider and supplier was also denying to supply new services and related equipments without changing the core information architecture of my current system.
In the conflict negotiation process I have followed a simple however effective system implementation procedure though Lewin’s change management model. I have experienced the changes in opinion prioritisation procedure in decision-making system in the existing system operation through this step by unfreeze, change and refreeze framework. At the initial stage a larger group of stakeholders who work in the conventional process using data transferring tools were disagreed to adopt the new changes (Demirkan and Delen 2013). However, the I prioritised their opinion and made them feel that the decision would change the system for initiating improvement. I have seen many stakeholders to observe the my existing problems carefully and to convince them to accept new changes. At the same time, I have executed some effective conflict negotiation process for the IT service provider to incorporate the Block-chain system within the existing information governance system in lower amount of cost.
Gap Analysis
After incorporating the block chain database operation I faced a temporary incomputable data processing situation. After the 2 to 3 months, I have seen the difference in their logistics operation and information system performance. The Cloud based Blockchain has allowed the IT governance team to monitor the dataflow operation in real time environment. It has allowed to eliminate the data corruption or inconsistency at the initial phase of the occurrence. After the 6 months of implementation, the data transfer and fetching rate has increased 2 to 3% which is above the estimated margin. The data processing latency time has reduced significantly (Johnson et al. 2014). The advance GPRS based data tracking system improved the logistical operation where the Remote server controlling system has been calculating the optimum device usage.
Conclusion:
From the above discussion, it can be said that the Information System Strategic Planning can help me to improve operational integrity in my existing information system handling through incorporating several new technologies such as Cloud storage, Block chain based database Big data and other within the operational devices. Strategic Information system planning is an integrating information system that allows database information through more advance and efficient network based data collection, database management and data processing operation in order to improve the data and information handling within a business organisational structure. I can have own server based database management system to operate large amount of data collectively updated from global sources.
As per the above analysis I am facing data redundancy and inconsistency in their existing Database management system that effecting the data fetching, file handling and data governance operations while making the delayed software processing. It has been seen that the increasing global information and the expanding data attributes are causing multiple fatal errors in file management and evens system failure can occur. The excessive bad data delivery caused by physical data handling should be replaced by more advance cloud based storage and blockchain based data processing and management system. It can be said that Advance database system like block-chain, cloud storage can be incorporated within the existing architecture with cooperation of IT service provider.
References:
Cassidy, A., 2016. A practical guide to information systems strategic planning. Auerbach Publications.
Demirkan, H. and Delen, D., 2013. Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud. Decision Support Systems, 55(1), pp.412-421.
Johnson, P., Lagerström, R., Ekstedt, M. and Österlind, M., 2014. IT Management with Enterprise Architecture. KTH, Stockholm.
Laudon, K.C. and Laudon, J.P., 2015. Management information systems (Vol. 8). Prentice Hall.
Lee, J., Bagheri, B. and Kao, H.A., 2015. A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 3, pp.18-23.
Niu, N., Da Xu, L. and Bi, Z., 2013. Enterprise information systems architecture—Analysis and evaluation. IEEE Transactions on Industrial Informatics, 9(4), pp.2147-2154.
Petter, S., DeLone, W. and McLean, E.R., 2013. Information systems success: The quest for the independent variables. Journal of Management Information Systems, 29(4), pp.7-62.
Qrunfleh, S. and Tarafdar, M., 2014. Supply chain information systems strategy: Impacts on supply chain performance and firm performance. International Journal of Production Economics, 147, pp.340-350.
Rozanski, N. and Woods, E., 2012. Software systems architecture: working with stakeholders using viewpoints and perspectives. Addison-Wesley.
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