Join Alan Simon for an in-depth discussion in this video What you should know, part of Business Analytics: Prescriptive Analytics.
- You only need to have prior exposure to a couple of topics to get the most out of this course. You should understand the basics of data management with a little bit of familiarity with data warehousing as well as today's new and exciting big data technology. We will cover both of these topics from a foundational perspective for prescriptive analytics so just a high level familiarity will be sufficient. Prescriptive analytics is the end point at which your organization takes recommended actions based on increasingly sophisticated analysis and modeling of data.
For our course, you won't need to know the details of those specific analytical modeling techniques though having a high-level understanding of how statistics and analytics are applied against your data will help you understand many of our concepts in this course. Finally, prescriptive analytics is built on a foundation of a formally defined workflow within your organization. You don't need to have deep exposure to business process management or specific process modeling techniques, but an understanding of the basic workflow for the business process of your organization will be helpful in seeing how data flows through our prescriptive analytics workflow and is increasingly enriched along the way.
- Exploring the analytics taxonomy
- Understanding prescriptive analytics fundamentals and workflow
- Looking at data warehousing and business intelligence
- Exploring big data
- Collecting and processing data
- Exploring triggering events
- Formulating business hypotheses
- Refining and enriching business hypotheses
- Reaching definitive conclusions
- Putting the finishing touches on prescriptive analytics