YOUR TASK

You are required to submit a Case Study Analysis report NOT NORE THAN 750 words for topic related to business analytics.This homework will result in a survey paper examining the use of business analytics in organization transformation.

REQUIREMENTS:

• The Case study should be obtained from reputable journals, white papers, conference papers, reputable magazine articles, or any acceptable reference for academia.
• Your report should consist a summary of real-time business analytics solution implemented in industries.
• The summary should include the organizational details, the business transformation, problem and challenges endured by the organisation and how they introduced analytics.
• Write a summative report on how this organization successfully implemented analytics solution which may have improved their business processes, organizational transformation, higher productivity, business growth, enhanced competitiveness, to have more effective managerial decision making and increased globalization opportunities.

EXAMPLES OF TOPICSHere are some examples of topics that you can undertake for your case study analysis. You may choose a topic of your interest as well.

1. Data mining and social network analysis: a study of current use of data mining in social network analysis and future recommendations. How data mining can help the field of social networks?
2. Data mining and blog analysis: a study of current use of data mining in blog analysis and future recommendations. How data mining can help in finding useful information out of huge amount of blogs? What is the difference/similarities between log, Web site and blog analysis?
3. Data mining and Personalisation with user profiles: Data mining is increasingly being used for customisation and personalisation of information that are presented to users, for example, in online newspapers, e-commerce and others. How the use of user profiles and other profiles would increase the effectiveness? A study of issues, techniques and usage of data mining in this domain.
4. Data mining and monitoring alarms: Data sets pertaining to many health and manufacturing situations are analysed with data mining techniques. What data mining techniques can be used in these situations and how can they be utilised in predicting the future based on alarms deployed with the outputs?
5. Data mining and structural health monitoring: How and what data mining techniques are being used in civil engineering domain in particular to health monitoring of structures? A study of issues, techniques and usage of data mining in this domain.
6. Data mining and road asset management: How and what data mining techniques are being used in road asset management? A study of issues, techniques and usage of data mining in this domain.