Deliverables Aspects Task. 7 Barriers , Challenges, Benefits 7-9 Very Good / Excellent compilation of Barriers, Challenges and Benefits Discussed relevant key points for each aspects. Deliverables Aspects Task. 8 Critical Evaluation, Recommend ations & Conclusions 7-9 Very Good / Excellent compilation of Critical Evaluation, Recommendation and Conclusions. Discussed relevant key points for each aspects. Deliverables Aspects Task. 9 References Proper References provided. Followed CU Harvard style.

Deliverables Aspects Task 1 Work Proposal 9-10 Mark Very Good / Excellent compilation of work proposal reflecting all key components and points Deliverables Aspects 0-1 Task 2 Introduction Poor compilation of Introduction. Relevant points not discussed 4-5 Mark Very Good / Excellent compilation of introductions. Explained organization / company business introductions Deliverables Aspects 0-3 Task 4 Comparative Study Poor discussion of comparative study Relevant points not discussed / Partial discussion done 11-15 Mark Very Good / Excellent compilation of comparative study. Explained systems and components. Necessary table provided Deliverables Aspects 0-3 Task 5 Data Analytics Framework 20-25 Mark Very Good / Excellent compilation of data analytics framework. Very Good / Excellent discussion of different types of hypothesis testing and relevant examples provided. Explained necessary framework with usages.

The assignment will be assessed out of 100 marks using the following criteria. The marks awarded would be then scaled to 70.Assessment Grading Criteria 90-100% Outstanding Focused and comprehensive engagement with the question, showing evidence of in- depthunderstanding of the issues. Extremely clearly structured and demonstrating a coherent argument throughout. Evidence of wide, independent reading. No obvious errors in referencing or grammar or syntax as appropriate. 80-89% Excellent Detailed identification of the issues with evidence of clear understanding of the issues. Well-structured with evidence of independent reading supporting the argument. Very few errors in referencing or grammar or syntax as appropriate.

• Scale down to 50 marks – Assessment marks. • This is an individual Assignment. • Submit the work proposal for this assignment on Moodle by week 8. • Submit the assignment document on Moodle by Wednesday, Week 12 Instructions for work proposal a) Submit a work proposal comprising of the following on or before the end of 8th Week Adopt academic conventions appropriate to a higher degree Avoid ‘cut & paste’ model solutions Use free and open source software for data analysis Follow MEC policies, sign and submit relevant documents for data/information collections. Don’t breach company confidentiality Pay close attention to assessment weighting and allocate your effort proportionately Use MEC LMS Moodle for peer and tutor support Try to submit coursework as a single piece, preferably in Microsoft Word or Adobe PDF format