Brief review questions:
1. What is a key difference between predictive analysis and descriptive analytics?
2. Explain how both cluster and association analysis provide future insight and enable market predictions for business leaders. What key insights could they provide to certain industries?
3. Justify why an organisation would invest further to visualise their analysis. What value does this process add?
4. Describe two different dimensions of visualisation representation.
5. Write a sample job posting for a data artisan you are looking to recruit. What skills and requirements should they have and why?
6. Explain the consequences of poor data quality to a business.
Answer here.
References
Minelli, M., Chambers, M., & Dhiraj, A. (2012). Big data, big analytics: emerging business intelligence and analytic trends for today’s businesses. John Wiley & Sons.
Ohlhorst, F. J. (2012). Big data analytics: turning big data into big money. John Wiley & Sons.
Saragoza, A. (2013) ‘Why Data Artisans are the new Data Scientists’, Fast Company, [Online] https://www.fastcompany.com/3020211/why-data-artisans-are-the-new-data-scientists
Schmarzo, B. (2013). Big Data: Understanding how data powers big business. John Wiley & Sons.
Schmarzo, B. (2015). Big Data MBA: Driving Business Strategies with Data Science. John Wiley & Sons.
