Reference no: EM134016321

Assessment - Task Sheet

Professional Analytics Pitch Presentation

Subject: Data Analytics, Artificial Intelligence and Decision Making

Assignment Overview

In modern organisations, data analytics is not only used to generate insights but also to support strategic decision making and drive organisational change. However, the value of analytics depends not only on technical quality, but also on how effectively it is communicated to decision-makers.

In this final assessment, you will take on the role of a data analytics consultant and deliver a professional pitch presentation. You will propose a data-driven initiative for an organisation and justify its value from business, technical, and organisational perspectives.

Unlike previous assignments, this task focuses on your ability to:
• translate analytical thinking into business value
• communicate recommendations persuasively
• demonstrate feasibility and real-world impact

This assignment builds on your learning from earlier assessments by requiring you to integrate analytics knowledge, business understanding, and communication skills.

Learning Objectives

By completing this assignment, students will be able to:
• apply data analytics concepts to real organisational problems
• design a practical BI or analytics initiative
• evaluate business implications of analytics solutions
• communicate insights effectively to a non-technical audience
• present a structured and persuasive business pitch

Assignment Task

You are required to deliver a professional pitch presentation recommending a data-driven initiative.

Organisation Selection

You must:
• Select one real organisation (this must be a new organisation, not used in previous assignments)
• The organisation may be:
o your current workplace
o a previous employer
o a well-known company with sufficient public information

Pitch Content Requirements

Your presentation should address the following components:

1. Problem Identification
• Clearly define a business problem, challenge, or opportunity
• Explain why it is important for the organisation
• Link the problem to decision-making needs

2. Proposed Analytics Initiative
• Recommend a specific BI or analytics solution
• This may include:
o dashboards / BI systems
o predictive or prescriptive analytics
o data mining applications
o AI or GenAI-enabled solutions
• Explain:
o what the solution does
o how it works at a high level
o what type of output it generates (insights, predictions, recommendations)

3. Evaluation of Implications

You must critically evaluate your proposal from three perspectives:

Costs
• technology and tools
• data requirements
• implementation and training

Benefits
• efficiency improvements
• better managerial decision making
• financial or strategic value

Organisational Impact
• impact on employees and roles
• process changes
• risks (e.g., data privacy, bias, adoption challenges)

4. Implementation Roadmap

Provide a realistic implementation plan, including:
• short-term (pilot / proof of concept)
• medium-term (deployment and scaling)
• long-term (optimisation and integration)

5. Future Outlook

Briefly discuss:
• how the solution could evolve over time
• the role of emerging technologies (e.g., real-time analytics, automation, GenAI)

Presentation Requirements
• Duration: 20 minutes
• Format: Video presentation with slides
• You must:
o appear on camera (face visible)
o speak clearly and professionally
o use slides effectively (not text-heavy)
• Upload your video to YouTube (public or unlisted)
• Submit the video link via LMS
Late or email submissions will not be accepted.

Assessment Criteria and Weighting

1. Research and Analysis
• depth and quality of research
• understanding of business context
• quality of cost, benefit, and impact analysis

2. Problem and Solution Design
• clarity of problem definition
• relevance and feasibility of proposed solution

3. Presentation Structure and Content
• logical flow of the pitch
• clarity and effectiveness of visuals
• adherence to time limit

4. Delivery and Engagement
• professionalism and persuasiveness
• audience engagement
• effective use of presentation techniques