1 CPE This course introduces advanced analytics and the business value it can add. It begins by introducing data mining, predictive analytics and machine learning in the context of the overall analytic landscape. The challenges of adopting advanced analytics and the role of a focus on improving decision-making are explored. The focus on decision-making is extended to discuss the differences between decision support and decision management or automation.
This decision-centric framework can be used to find business opportunities for advanced analytics. This course will allow business professionals to make the case for, and frame the successful use of, advanced analytics in their business operations.
Learning Objectives
- Define data mining, predictive analytics, machine learning and related terms.
- Identify challenges (and mitigations) in successful adoption of predictive analytics.
- Recognize the value of predictive analytics in terms of improved decision-making.
- Differentiate between decision support and decision management.
- Identify opportunities for predictive analytics in business operations.
Last updated/reviewed: March 28, 2024
14 Reviews (57 ratings)
Reviews
Anonymous
(Internal Audit Manager)
What a fantastic course! This course was chock full of great tips and general ideas. Definitely a ton of "a ha" kind of moments and very helpful for those of us at the middle management level who would like to try to convince the Executive level that moving even at least to data mining would be helpful. Also, really appreciated the presenter's use of helpful visuals as well.
Tyler Whitlock
(Director of IT at Christensenarms)
We're just starting to implement some more predictive analytics at our firm and one of my questions has been what is best area and situations where smarter models could have the most benefit. I thought this lesson gave some good insight into where decision modeling has the most leverage for change in the organization.
Anonymous
(Accountant)
Good high level explanation of some challenges that occur in using predictive analytics and how to make them effective. Not so many specific examples of tools or methods that explain how to use it.
Anonymous
(Senior Manager, Finance)
A great introduction into the topic. I wish Mr. Taylor would develop a certification program on business/predictive analytics.
David Lee
(Finance Director at Comexposium)
Good overview of a complex subject presented in a clear, easy to follow way. It would be even better with real world examples.
Anonymous
(CFO)
This was a great course for those of you looking to learn how to apply business analytics to your decision-making strategies!
Don Myers
(Finance & Operations Executive at -)
The course provided a good review of analytics and how best to use in your organization to improve decisions. Great course.
Anonymous
(Management Consultant)
Strong speaker, great content, informative and insightful. Engaging presentation, looking forward to more.
Erik Schendel
(Controller at Harry & David)
This is a great overview on predictive analytics and where they are applicable to decision making.
Sam Grosoff
(Associate at RSM)
I enjoyed learning more about advanced analytics and the business opportunities that can arise.
Anonymous
(CFO)
Clear distinctions on the analytics spectrum and purpose of the techniques.
Great insights. Quick course that offers some real world tangible ideas.
Anonymous
(Controller)
This course effectively covered the stated learning objectives.
Craig Scanlon
(Owner at BST)
Well presented overview by instructorod overview and intro
Prerequisites
Course Complexity: Advanced
Prerequisite: Previous experience in finance
Advanced Preparation: None
Education Provider Information
Company:
Illumeo, Inc., 75 East Santa Clara St., Suite 1215, San Jose, CA
95113
Contact:
For more information regarding this course, including complaint and
cancellation policies, please contact our offices at (408) 400- 3993 or send an e-mail to
.
Course Questions and Answers1 Question
James TaylorCEO and Principal Consultant
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- Email: info@illumeo.com
- Phone: 408-400-3993
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This has been a great presentation. Interesting insights on best uses of predictive analytics.