Background
Unstructured data has typically been difficult to manage, since it has no predefined data model, is not
always organised, may comprise multiple types. For example, data from thermostats, sensors, home
electronic devices, cars, images, sounds and pdf files.
Given these characteristics, special collection, storage, and analysis methods, as well as software, have
been created to take advantage of unstructured data.
Assessment Instructions
Given the considerations above, select one of the following industries for your assessment.
• Healthcare
• Retail – clothing
• Social Media
• Education
• Motor vehicles
• Fast Foods

1. Read relevant articles on the industry you have chosen.
2. Choose one application from that industry.
   Page 2 Kaplan Business School Assessment Outline
3. Introduce the industry and application, e.g., healthcare and image reconstruction (300 words, 6
   marks)
4. Explain what sort of unstructured data could be used by an AI or Machine Learning algorithm in
   the area you chose. (300 words, 6 marks)
5. Discuss best practice and options for accessing/collecting, storing, sharing, documenting and
   maintenance of the data. (800 words, 15 marks)
6. Propose a question that could be asked in relation to your unstructured data and what software
   might help you to run AI and answer the question. (100 words, 3 marks)