Case study: Australasian Information Services Assessment

Assignment

The case study is based on a fictitious company. As you read through the assignment activities you will realise that you will need to do some additional research into the various knowledge management concepts, methods and techniques we have discussed during our classes. This is part of the assignment discovery process. A key part of problem-based learning is identifying the skills and knowledge you need in order to complete a task. This is typical of the skills required of an IT Systems Analyst, as they seek to make sense of the project they are working on and to identify the most appropriate tools for completing the task.

• Conduct an in-depth case analysis of AIS to identify current (as is state) strategies and processes for managing knowledge at AIS and the technology and processes they have in place to support these.
• In so doing, report on the range of knowledge management challenges and issues confronting AIS,
• Evaluate the potential for organisational innovation and development (the strategic imperatives and vision) that could result from the effective deployment of a new KM and Analytics solution for AIS,
• Identify and describea KM and Analytics solution for AIS that incorporates a small mix (i.e., no more than 1 or 2 of each) of both tacit and explicit approaches to KM,
• Your analysis and solution must include a 2 rich picture diagrams of the KM challenge at AIS as you define it: a KM-as-is and a KM-target-destination diagram,
• Your analysis and solution must include a supporting explanation describing how a KM and Analytics solution could be realised for AIS, that includes at least one, “stretch” or “next-gen” idea for KM into the future for AIS.

Proposed KM and Analytics Solution (600 words)

• Main purpose of the new KM and Analytics service solution.
• Strategic imperatives, drivers, and vision for the new solution.
• Activities and functions supported by the new KM service.
• Description of the main users (customers and stakeholders) and their roles in knowledge transformation.
• Detailed proposal of the KM and Analytics service, focusing on a mix of tacit and explicit knowledge approaches.
• Justification for choosing this specific approach and its relevance to future KM needs at AIS.

Benefits of the Proposed Solution 

• Discussion on how the proposed KM solution facilitates organizational innovation and development.
• Advantages of the proposed design and its alignment with learning organization principles.

Brief Summary of the Assessment Requirements

The assignment requires students to conduct an in-depth case analysis of a fictitious company, AIS, focusing on its current and future Knowledge Management (KM) and Analytics capabilities. The key requirements include:

1. Understand the “As-Is” KM State at AIS

• Analyse AIS’s existing KM strategies, tools, and processes.
• Identify the technology currently used for capturing, storing, and sharing knowledge.
• Highlight challenges, limitations, and knowledge-flow issues.

2. Evaluate KM Challenges and Strategic Opportunities

• Identify KM-related problems AIS is facing.
• Assess the potential for organisational improvement, innovation, and strategic growth through better KM and analytics systems.

3. Propose a New KM & Analytics Solution

• Design a future-oriented KM system combining 1 2 tacit and 1 2 explicit KM approaches.
• Articulate the purpose, scope, and functions of the new system.
• Describe primary users and how each stakeholder contributes to knowledge transformation.

4. Include Rich Picture Diagrams

• Create two diagrams:
  KM-As-Is diagram
  KM-Target-State diagram
• These should visually show challenges and the future direction.

5. Provide a Supporting Explanation

• Explain how the proposed KM & analytics solution will be implemented.
• Include at least one “next-gen” or stretch KM idea that modernises AIS.
• Discuss how the proposed solution enhances innovation and aligns with learning-organisation principles.

6. Benefits & Strategic Alignment

• Present the organisational benefits of the new KM solution.
• Show alignment with AIS’s long-term strategy, digital transformation needs, and innovation goals.

How the Academic Mentor Guided the Student (Step-by-Step Process)

The mentor supported the student through a structured, systematic approach to ensure every section of the assignment met academic expectations.

Step 1: Understanding the Case Study and KM Concepts

The mentor first clarified:

• What the AIS case represents
• Why additional independent research on KM techniques is essential
• How real IT Systems Analysts identify the knowledge required to analyse a system
  This helped the student understand the problem-based learning nature of the task.

Step 2: Analysing the “As-Is” State

The mentor guided the student to:

• Break down AIS’s current workflows and systems
• Identify where knowledge is stored and how it is shared
• Map out problems such as silos, outdated tools, or informal knowledge sharing

This formed the foundation for the KM-As-Is diagram.

Step 3: Identifying Challenges and Strategic Issues

The student was encouraged to:

• Categorise KM issues into people, process, and technology
• Connect challenges with broader organisational goals
• Recognise gaps between current practices and best-practice KM standards

This helped frame AIS’s strategic needs.

Step 4: Exploring Innovation Opportunities

With mentor guidance, the student analysed:

• How new KM tools and analytics capabilities could improve AIS
• Opportunities for innovation, automation, and knowledge-sharing culture
• How KM links with organisational development and decision-making

This created a transition from problem identification to solution design.

Step 5: Designing the Proposed KM & Analytics Solution

The mentor ensured the student:

• Combined tacit approaches (e.g., communities of practice, mentoring)
• With explicit approaches (e.g., knowledge repositories, document management systems)
• Clarified users, roles, and activities supported by the system
• Justified the design based on AIS’s challenges and future needs

This directly contributed to the main 600-word proposal.

Step 6: Creating the KM-Target-State Rich Picture

The mentor helped the student visualise:

• Improved knowledge flows
• Integrated systems
• Stakeholder interactions
• The future culture of knowledge-sharing

This demonstrated the gap between present and desired states.

Step 7: Adding a “Next-Gen KM Idea”

The mentor introduced possibilities such as:

• AI-driven search
• Predictive analytics
• Intelligent knowledge recommendation systems
  This elevated the quality of the assignment and ensured originality.

Step 8: Final Benefits and Strategic Alignment

Finally, the mentor guided the student to explain:

• How the solution increases innovation
• How it supports continuous learning and organisational development
• Why the new KM design is future-ready and strategically valuable

Final Outcome

By following this structured process, the student produced a comprehensive case analysis and a well-justified KM & Analytics proposal. The submission effectively:

• Met all assignment requirements
• Included both KM diagrams
• Provided a clear KM-As-Is and KM-Target-State evaluation
• Presented a forward-looking KM design incorporating tacit and explicit elements
• Addressed strategic alignment, innovation potential, and organisational benefits

The work demonstrated both analytical depth and practical understanding of KM systems.

Learning Objectives Achieved

Through mentor-supported guidance, the student successfully learned to:

1. Conduct a structured case analysis using KM frameworks
2. Identify organisational knowledge gaps and challenges
3. Apply both tacit and explicit KM techniques
4. Design an innovative KM and analytics solution
5. Create and interpret rich-picture diagrams
6. Align KM solutions with organisational strategy and learning principles
7. Present findings in a clear, logically organised academic format.

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