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Subject Code : BSBMKG528
Assignment Task

Assessment Information
Welcome to your Student Assessment Workbook forBSBMKG528 Mine Data to Identify Industry Directions.
This Workbook is where you will write all your responses for the knowledge questions and simulation tasks. Please refer to the Student Assessment Guide for more information.
This assessment has the following two events:
Assessment Event 1 – Knowledge Questions
There are five questions that will provide us with the evidence of your general knowledge of the current data mining concepts, applications, tools, practices, and the regulatory context within the marketing industry field. 

Assessment Event 2 – Simulation: Momentum College
You will complete a number of tasks in developing and presenting a well-structured data analysis report. These tasks will be based on your role of a Market Analystin a simulation for a digital marketing agency, DigiGeek, where you will be assistinga new client, Momentum College, an Australian registered training organisation (RTO) that offers nationally accredited courses seeking to expand its business.
To complete the Simulation, you will need to refer to the following resources:
Data Mining Policy and Procedures    

DigiGeek’s policy and procedures for data mining. You will abide these organisational requirements when performing data mining activities and producing the required reportin Assessment Event 2.   
Market Analysis Project Brief    

Document that provides background information about the agency DigiGeek, the client Momentum College, and other relevant information for the client’s data mining requirements. You will conduct their data mining project on the basis of the requirements specified in the Brief.
Please note that your responses for both assessment events can (where appropriate) use dot point format. See below for an example of a dot point response and a full sentence response:
To Achieve Competence
To be deemed competent for this unit, you will need to meet the following requirements:
• Complete all of the questions and tasks listed in this Student Assessment Workbook
• Meet all the requirements listed in the Student Assessment Guide
• Your responses to the questions and tasks must be relevant, accurate and specific 
• Submit your completed Student Assessment Workbook to your Assessor within the set timeframes
• Your work must be in your own words
• Where you use an external source of information, you must provide citation.
Pre-assessment Checklist
Your assessor will go through the assessment for this unit,BSBMKG528 Mine Data to Identify Industry Directions. It is important that you understand this assessment before taking on the questions and tasks. To confirm that you have been given this overview, we ask you to complete the following Pre-Assessment Checklist.
You are required to carefully read each checklist item provided below and tick either ‘Y’ to confirm your understanding or ‘N’ if you disagree. In case you disagree with an item, please provide your reason under the ‘Comments’ column.
When you have done this, we ask you to sign this Pre-Assessment Checklist. This acknowledges that your Trainer/Assessor has discussed all of the information with you prior to undertaking this assessment.

Task 1: Determine Purpose of Data Mining
In this task, you will review client requirements for the data mining activity and suggest which areas it can bring solution to the client. Also, you will summarise the regulatory and organisational requirements that are closely linked to the data mining activity. These will involve you to review and analyse the documents provided (see separate attachments: the ‘Market Analysis Project Brief’ and ‘Data Mining Policy and Procedures’), and conduct external research on relevant legislative requirements.
1.1Identify and review relevant client and organisational requirements for data mining
Insert your response here:
1.2 Confirm potential uses of data mining outcomes and recommendations
Insert your response here:
1.3 Recognise legislative and organisational requirements
Insert your response here: 
Task 2: Identify Data Sources
In this task, you will identify and access public and private data sources relevant to their project in compliance with privacy and copyright requirements. You will then evaluate these sources in terms of their validity, reliability, and completion rate.
2.1 Identify available data sources
Insert your response here:
2.2 Negotiate access rights and intellectual property release for relevant data sources
Write the email to the client here:
Draft the email to Austrade here:
Write the FOI request email here:

2.3 Rank and prioritise data sources for validity, reliability and completion rates
Insert your response here: 
Task 3: Apply data mining techniques
In this task, you will select and apply appropriate tools and techniques to analyse data collected in earlier tasks, then visualise the outcomes of your analysis accordingly.
3.1 Select appropriate tools and techniques for data analysis
Insert your response here:

3.2Classify data for analysis
Insert your response here:
Attach the snapshot of your final data source here:

3.3Analyse and visualise data to identify patterns, clusters and relationships
Insert your response here including your visualisations: 
Task 4: Report and Recommend on Findings
In this task, you will evaluate the outcomes of their analysis to draw insights and make recommendations to the client in accordance to their data mining objectives.You will then assess the validity and reliability of your insights and conduct an interactive session with the client to verbally report their outcomes. Finally, you will reflect on what you have experienced throughout the lifecycle of your data mining process.
4.1 Assess results of data mining to draw insights
Insert your response here:
4.2Weight insights for reliability and validity
Insert your response here:
4.3Report data mining process and outcomes
In this task, you will interact with the Marketing Manager.See your Student Assessment Guide for more information.
Printed and attachyour slideshows to your Student Assessment Workbook. 
4.4Document lessons learnt capture lessons learned for continual improvement, explaining the following:
• What went well?
• What were the critical success factors for achieving the data mining outcomes?
• What were the barriers to success?
• What should be improved for the betterment of data mining activities in future?
• How to make these suggested improvements? explanations must:
• Not be generic
• Include specific examples to reflect on your own experience word count is approximately 250 words in total.

 

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  • Posted on : October 21st, 2018
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