TECH8000 IT Capstone Report Sample
Assignment Description
This assessment is designed to assess your advanced research and analytical skills. In this assessment, you will conduct an in-depth research analysis and produce a comprehensive report for a client's IT problem. You are required to critically evaluate and recommend multi-disciplinary IT solutions to address the client's problem. The assessment will require you to demonstrate a high level of proficiency in integrating concepts, theories, and frameworks from different disciplines to support your recommendations.
Instructions
Students must conduct research externally and included references in order to produce a well referenced assessment. You should use at least ten (10) sources of information and reference these in accordance with the Kaplan Harvard Referencing Style. These may include websites, social media sites, industry reports, census data, journal articles, and newspaper articles. These references should be presented as in-text citations and a referencing list at the end of your assessment (not included in the word limit). Wikipedia and other ‘popular’ sites are not to be used.
1. You must submit your report in Word document or in PDF format.
2. The report should be well-structured and organised. It should include the following details:
a) Client Background:
i) Familiarise yourself with the client's organisation, industry, and context, demonstrating a deep understanding of their IT problem and its significance.
ii) Analyse the client's goals, objectives, and any constraints that may influence the proposed solutions, taking into account complex organizational and environmental factors.
b) Research Methodology:
i) Develop a robust research methodology that encompasses advanced data collection and analysis techniques suitable for the client's IT problem.
ii) Justify your chosen methodology by critically evaluating its suitability and explaining how it aligns with the research objectives and the complexity of the problem.
c) Findings and Analysis:
i) Present your research findings in a clear, concise, and sophisticated manner, utilising appropriate data analysis techniques and tools.
ii) Conduct an in-depth analysis of the data and provide deep insights into the causes and potential solutions for the client's complex IT problem.
d) Multi-disciplinary IT Solutions:
i) Recommend advanced multi-disciplinary IT solutions that effectively address the complex and interconnected aspects of the client's IT problem.
ii) Justify your proposed solutions by integrating advanced concepts, theories, and frameworks from different disciplines, demonstrating a deep understanding of their relevance and application.
e) Critical Evaluation and Feasibility:
i) Critically evaluate the effectiveness and feasibility of the recommended multi-disciplinary IT solutions, taking into account complex organisational, technological, ethical, and social considerations.
ii) Demonstrate a high level of critical thinking, creativity, and innovation in evaluating the potential impact and risks associated with the proposed solutions.
f) Conclusion:
i) Summarise the main research findings and their implications for addressing the client's complex IT problem, demonstrating a nuanced understanding of the challenges and opportunities.
ii) Clearly articulate the conclusions drawn from the research outcomes, highlighting the strengths, limitations, and potential areas for future investigation.
3. Please refer to the assessment marking guide to assist you in completing all the assessment criteria.
Solution
1. Client Background
a) Company background and IT Problem and Significance
The Organisation selected is GlobalTech Industries, the Organisation is a multinational technology solutions which aims at offering best technological solutions. The company has drive the success through its forward thinking and diverse product portfolio. The company was founded in 1985 and has its headquarter in Silicon Valley, the company currently employs 45,000 employees globally. The fact that it finds itself in various sectors such as healthcare, transportation and telecommunications, indicates its commitment to innovation and technological competence (Poudel, 2022). IT issues are so huge within the organization especially outdated legacy systems that hamper any efficient processing and integration of data. Various verticals across the world have adopted independent IT infrastructures, leading to data silos that hinder holistic management of data. Additionally, a constantly changing environment regarding international data handling regulations generates risks of compliance that demand careful treatment.
b) Goals, Objectives, and Constraints
GlobalTech Industries seeks to reinvent its IT infrastructure by migrating from legacy systems to cloud-based solutions. The main objective is to increase data integration and processing capacity. Besides, the company is also planning to enlarge its AI and IoT business in response to market needs. However, the client is limited by slow decision-making processes and fragmented IT operations. These limitations arise from the legacy systems, as well as data management structures operating in silos. Compliance with changing regulations adds strategic challenges as the rules constantly change (Poudel, 2022).
2. Research Methodology
a) Selected Research Method
For a detailed approach in overcoming the IT problems at GlobalTech Industries, an interpretive research methodology must be used. This approach is in line with the volatile nature of the IT sector and focuses on real-time information. The research design used is exploratory which gives room for a precise understanding of the specific problems facing GlobalTech. The use of an inductive research methodology will strengthen the reliability of this study so that a scientific logic informs the investigation for possible solutions and technology trends (Mezmir, 2020). Qualitative data collection methods, focusing on secondary sources, will be used to collect a wide array of pertinent information. Thematic data analysis will then offer an in-depth and multifaceted comprehension of the gathered information helping to form accurate but subjective conclusions. For this study, the real-time and social value of the context, will be reflected through the application of interpretivism research philosophy. In view of this research philosophy, the researcher will interpret the information collected to analyze relevant issues and possible solutions of tech companies for its clients (Celik et al., 2020). It will also improve validity of data adding more weight to the credibility and reliability of this study for the company.
b) Justification and its alignment with research objectives and the complexity of the problem
The selected methodology is appropriate for GlobalTech’s IT issue. To align with the changing tech landscape, the interpretive approach ensures that the study is representative of real-world situations. The design is exploratory, allowing for a comprehensive dive into specific issues, being an inductive approach that enables the systematic exploration of solutions (O’Kane et al., 2021). Majority of qualitative data collected from respectable sources makes the study credible and thematic analysis presents a structured as well as focused evaluation. This methodology centered on real time interpretation and subtle investigating fits perfectly with GlobalTech’s goals to efficiently solve complicated IT problems. Thematic data analysis will be applied to get precise and subjective findings (Walter and Ophir, 2019). The themes will be developed based on the research objectives to stay focused and answer all the research questions satisfactorily.
3. Findings and Analysis
a) Findings
The research findings are key revelations about the IT issues confronting GlobalTech Industries. Fast data processing and integration are greatly impaired by legacy systems resulting in slow decision-making. These inefficiencies are further perpetuated by data silos resulting from standalone IT infrastructure that impede coordinated data management. The organization has issues with compliance when regulations regarding international handling of data are changing rapidly. The research addresses these issues and highlights the desperate need for a major overhaul of GlobalTech’s IT infrastructure, recommending that it transitions to cloud-based systems. This alteration is intended to improve the efficiency of data integration and processing, aligning with the company aim to complete as innovator in tech. Also, another critical finding emphasized by the report is that addressing challenges should be done through an agile decision-making process and promoting cross-functional collaboration. The research shows that a comprehensive and coordinated approach to the elimination of data silos as well setting up an integrated framework for managing information is important in ensuring long-term success for university assignment help.
b) Deep insights into the causes and potential solutions for the client's complex IT problem
This data analysis reveals that the very complex IT problem with GlobalTech has been caused by some reasons, historical systems and silos of information as well as it can’t keep up on changes all over international regulations. Slower decision-making processes are created by legacy systems that fail to process the data efficiently. Independent IT infrastructures create data silos; it is challenging to manage everything coherently (Jain, 2023). Changes in data comply fast, so continual adjustments should be made. A complete solution to tackle these problems involves making the transition from current systems to cloud-based ones, ensuring that there is a smooth integration and processing of data. This aligns with the firm’s future intentions. Moreover, enabling agile decision making by eliminating data silos and fostering cross functional collaboration becomes vital strategies (Alharahsheh et al., 2020).
4. Multi-disciplinary IT Solutions
a) Recommendations
- Cloud Integration and Modernization: GlobalTech must focus on implementing a cloud based solution which will enhance the existing system and transform the data operations and larger storage systems, it includes processing, applications, data storage, and etc. This will elevate the agility, scalability, and efficiency.
- Data Management Platform: utilising the integrated data management platform which splits down silos, through using advanced analytics tools as well as ML and AI for real time insights, this will ensure centralized data ecosystem across the divisions. (Ivanov et al., 2022).
- Regulatory Compliance Automation: AI driven tools comes with data security concerns as it involves collection of huge amount of customer data, hence the company must align with the regulatory compliance to ensure data security.
- Agile Framework Implementation: Adopt an agile approach for decision making, encouraging cross-functional cooperation and accelerating the provision of solutions for rapidly changing IT issues (Mastos et al., 2021).
- Cross-functional Training Programs: Invest in cross-disciplinary training programs designed to narrow skill gaps among employees. Provide the workforce with updated skills in terms of technological know-how, fostering a spirit of continuous learning and innovation (Jansson et al., 2020).
b) Justification of proposed solutions
The proposed solutions are based on advanced concepts and theories in various fields. Cloud integration is an enabler of scalability and agility associated with the transformative capability of cloud computing. A recommended framework for Data Management Platform combines notions from the field of data science and AI, thus providing a unified approach to ensure that the required data ecosystem is analytically rich. Regulatory Compliance Automation leverages LegalTech and AI principles to maintain flexibility in changing legal horizons (Dussart et al., 2021). The concept borrows from Agile Methodologies, using iterative, collaborative and adaptive approaches in the implementation of an agile framework. The integration of AI and Automation supports Industry 4.0 thinking with improved decision support and performance in the operations process. Cross-functional Training engages ideas from Human Resource Development to establish a competent and dynamic workforce. Collectively, these solutions comprise an integrated multi disciplinary approach to respond to GlobalTech’s multifaceted IT challenges (Mastos et al., 2020).
5. Critical Evaluation and Feasibility
a) Effectiveness and Feasibility
The suggested interdisciplinary IT solutions demonstrate efficacy in resolving GlobalTech’s issues. Cloud Integration promotes scalability, agility and cost-efficiency in line with current technological paradigms. Data Management Platform eliminates data silos, helping in achieving enhanced analytics and better decision making. Ethical responsibility is shown by ensuring compliance with international data regulations through Regulatory Compliance Automation. Agile Framework Implementation fosters an agile organizational atmosphere, improving adjustment (Alharahsheh et al., 2020). AI and Automation bring efficiency advantages; Cross-functional Training focuses on the human dimension for a competent labour force. First of all, the feasibility is high given GlobalTech’s industry leadership and available resources. However there are challenges such as potential resistance to cultural inertia, data privacy issues and the initial cost of implementing advanced technologies.
b) Impact and Risks
The proposed reforms if implemented effectively could revolutionize GlobalTech thus positioning itself as an industry trailblazer. Risk includes potential receptivity to change, data security vulnerabilities and the requirement for significant upfront investments. The importance of phased implementation, robust cybersecurity measures and continuous monitoring to mitigate risks is emphasized with critical thinking; thereby ensuring a balanced and innovative approach towards IT transformation (Alharahsheh et al., 2020).
6. Conclusion
Overall, the research points out a variety of complex IT problems faced by GlobalTech due to old systems; data silos and regulatory changes. In contrast, the proposed multi-disciplinary execution of cloud integration that focuses on data management and agility provides a more subtle approach to resolving these problems. These recommendations support the client’s mission of innovation and growth. Although the solutions make clear feasibility and effectiveness, organizational resistance issue as well as some cybersecurity risks should be carefully examined (Cao et al., 2021). Further studies should focus more on change management approaches and emerging cybersecurity systems so that the IT transformational journey of GlobalTech can maintain proper effectiveness in the long run.
7. References
Alharahsheh, H.H. & Pius, A., (2020) ‘A review of key paradigms: Positivism VS interpretivism’, Global Academic Journal of Humanities and Social Sciences, vol. 2. No. 3, pp.39-43. DOI: 10.36348/gajhss.2020.v02i03.001
Cao, S., Nie, L., Sun, H., Sun, W. and Taghizadeh-Hesary, F., 2021. Digital finance, green technological innovation and energy-environmental performance: Evidence from China's regional economies. Journal of Cleaner Production, 327, p.129458.
Çelik, H., Baykal, N.B. and Memur, H.N.K., 2020. Qualitative data analysis and fundamental principles. Journal of Qualitative Research in Education, 8(1).
Dussart, P., van Oortmerssen, L.A. and Albronda, B., 2021. Perspectives on knowledge integration in cross-functional teams in information systems development. Team Performance Management: An International Journal, 27(3/4), pp.316-331.
Ivanov, S.H., Webster, C., Stoilova, E. and Slobodskoy, D., 2022. Biosecurity, crisis management, automation technologies and economic performance of travel, tourism and hospitality companies–A conceptual framework. Tourism Economics, 28(1), pp.3-26.
Jain, N. (2023) Sources of data collection, GeeksforGeeks. <https://www.geeksforgeeks.org/sources-of-data-collection/> (Accessed: 29 July 2023).
Jansson, T. and Persson, D., 2020. Management of cross-functional teams: The impact of motivation and Human Resources on efficiency in Swedish organizations.
Khera, O. (2022) Illustration of the technology acceptance model (TAM). <https://www.researchgate.net/figure/Illustration-of-the-Technology-Acceptance-Model-TAM_ fig1_228631114> (Accessed: 23 November 2023).
Lochmiller, C.R., (2021). Conducting Thematic Analysis with Qualitative Data. Qualitative Report, vol. 26, no. 6. DOI: https://doi.org/10.46743/2160-3715/2021.5008
Makri, C. & Neely, A., (2021) ‘Grounded theory: A guide for exploratory studies in management research’, International Journal of Qualitative Methods, vol. 20, p.16094069211013654. DOI: https://doi.org/10.1177/16094069211013654
Mastos, T.D., Nizamis, A., Terzi, S., Gkortzis, D., Papadopoulos, A., Tsagkalidis, N., Ioannidis, D., Votis, K. and Tzovaras, D., 2021. Introducing an application of an industry 4.0 solution for circular supply chain management. Journal of Cleaner Production, 300, p.126886.
Mastos, T.D., Nizamis, A., Vafeiadis, T., Alexopoulos, N., Ntinas, C., Gkortzis, D., Papadopoulos, A., Ioannidis, D. and Tzovaras, D., 2020. Industry 4.0 sustainable supply chains: An application of an IoT enabled scrap metal management solution. Journal of cleaner production, 269, p.122377.
Mezmir, E.A., 2020. Qualitative data analysis: An overview of data reduction, data display, and interpretation. Research on humanities and social sciences, 10(21), pp.15-27.
O’Kane, P., Smith, A. and Lerman, M.P., 2021. Building transparency and trustworthiness in inductive research through computer-aided qualitative data analysis software. Organizational Research Methods, 24(1), pp.104-139.
Poudel, K. (2022) 13 challenges faced by customers and clients in IT industry, The Dev Post. <https://thedevpost.com/blog/challenges-faced-by-customers-it-industry/> (Accessed: 23 November 2023).
Would you like to schedule a callback?
Send us a message and we will get back to you
Highlights
Earn While You Learn With Us
Confidentiality Agreement
Money Back Guarantee
Live Expert Sessions
550+ Ph.D Experts
21 Step Quality Check
100% Quality
24*7 Live Help
On Time Delivery
Plagiarism-Free
81 Isla Avenue Glenroy, Mel, VIC, 3046 AU
