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Research Enquiry for Managers Assessment - Sublime Delight Case Analysis

Background

'Sublime Delight' is a small, but rapidly growing, coffee roaster, coffee supplier, and outlet operator. It began 5 years ago when David Geoffs decided to turn his passion for high quality coffee into a business. He started small with what would best be called a 'micro' roasting setup. He sourced organically grown coffee beans from ethically operated sources which he would then ship to his site in Australia where they were carefully stored under rigorously controlled conditions. He experimented with various mixes of beans, moisture levels, and roasting patterns, selling each batch to local coffee shops. Gradually he developed three main products - Espresso Delight, Mocha Delight, and Sublime Delight. The products are consistent in flavour, easy to grind, and have a good shelf life, which offers the coffee shops both an identifiable and repeatable coffee product, and a more manageable and cost effective production process.

Overview

You are provided with a number of datasets and some information about them. You are to use the BADIR methodology to investigate the datasets and use appropriate descriptive, and where possible inferential, techniques to discuss and present your findings to the board. Your submission should be in the form of a business report that should include an Executive Summary, Introduction, Background and Context, Methodology, Sections discussing each area, and a Summary. The report should be referenced appropriately.

TASKS -

TASK 1 -

In general, the board would be interested in how sales are distributed across outlets, how profits are distributed, and where the major growth areas are? However, you are encouraged to address other questions where appropriate.

TASK 2 -

The board would be interested in whether there is any significant difference between the outlets in terms of service quality and coffee quality.

TASK 3 -

You need to address following questions:

a) Does the prediction regarding the mix proportions hold for January?

b) Does the prediction hold for December?

c) Has the taste mix changed overall between January and December?

d) What would be the new expected market mix based on the December data?

Attachment:- Assignment Files.rar

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