Question

You are required to submit a Case Study Analysis report 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 theorganisation 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.

Answer 1

Data Analytics is highly used for business transformation using technology framework like Big Data Analytics, Artificial intelligence and Machine learning, Agile and Scrum Methodologies .

Rhese solutions need data from various sources which possess variety, veracity and velocity and volune. Such data us structured and unstructured in various formats and need to be transformed firstly into single format for analysis.

Data sources used for identifiable willingness to purchase vehicles can be found from combination of primary and secondary sources using:

1. Customer surveys
2. Customer discussions over face to face or Telephone
3. Customer Feedbacks
4. Secondary souces like Trade exhibition
5. Live polls and Interviews
6. Third party data which shares past purchase behaviour

For example, Verizon collects data from its customers and shoppibg websites using cookies. This type if data is then further used by analytical tools to generate insights and customer marketing strategies.

Various use cases can be developed like Customer segmentation, Fraud Detection, Customer Relations management, Preferences and Choice Segregation and Targeted Marketing.

By ineepth drill down analysis of data and providing customised solutions from preferences and geographical segementation the data can thus be an efficient sales for transforming lead into potential customer