.5 CPE No one has the ability to capture and analyze data from the future. However, there is a way to predict the future using data from the past. It’s called predictive analytics, and organizations do it every day.
Has your company, for example, developed a customer lifetime value (CLTV) measure? That metric involves using predictive analytics to determine how much a customer will buy from the company over time. Do you have a service or product recommendation capability? That’s an analytical prediction of the product or service that your customer is most likely to buy next. Have you made a forecast of the upcoming quarter’s sales? Or used digital marketing models to determine what ad to place on what publisher’s site? All of these are forms of predictive analytics.
This course covers a few basics so you become more comfortable working with and communicating with others in your organization about the results and recommendations from predictive analytics.
Learning Objectives
- Explore what predictive analytics are
- Explore how predictive analytics work on a theoretical basis
- Discover the broad advantages and disadvantages of predictive analytics
- Recognize how to explain in general terms how predictive analytics are used in major companies today
- Identify areas where predictive analytics can help a company make better decisions
Last updated/reviewed: March 11, 2024
46 Reviews (274 ratings)
Reviews
Neil Hewko
(Tax Director at Grant Thornton)
This was a very good course for an introduction into predictive analytics. As always, the real world examples are extremely valuable into understanding the applicability. The example of Target knowing when their customers are pregnant is terrific.
Anonymous
(Manager)
This course was very interesting. It provides further insight into how to actually use BI. The analysis part is interesting as the business objective can guide it.
Roger Cluff
(Finance Director at A-dec)
Basic Introduction to Predictive Analytics - just as advertised. Did not include any demonstration of the techniques, but gave a good overview of the process.
Daniel Potter
(Managing Director at Grant Thornton LLP)
good background discussion. in depth to the best point at this stage in the learning process. really appreciated the pace at which the instructor proceeded.
Anonymous
(CFO)
Good quick review of the components of predictive analytics. Helpful step by step discussiono f the steps in building towards predicitve analytics.
Anonymous
(CONTRACT ACCOUNTANT)
Engaging teacher. Course provides a good overview of later courses offered by teacher. Let’s one know if they would be interested in the subject.
Anonymous
(Tax Manager)
Great use of examples and real world companies and how they have effectively used predictive analysis to benefit the company and the customers.
Anonymous
(Partner)
fine
Lindsay Velez
(President at Thomas Ho Company Ltd)
Very high level course. Would be nice to have a more detailed (down to the analytics level) course that highlights application and theory.
Anonymous
(Tax Director)
Again easy to listen to the videos, interesting, and relevant. I can see on a daily basis how companies are already using these analytics.
Rahman Ullah
(Senior Accountant at Cardtronics)
1. Interesting subject
2. Concise Presentation
3. Presenter has good tone, pace, no accent issues
4. Must for marketing professionals
Anonymous
(Sr Accountant Lead)
Basic introduction of Predictive analysis. Looking forward to taking additional classes going into greater detail of forecasting.
Eugene Rura
(Manager Finance at Saputo DF USA)
Very basic overview of Predictive analytics, mostly reviewing the high-level process steps in developing regression-based analysis
scott thompsett
(Managing Tax Director at Grant Thornton)
This course wasn't very helpful for our business here at Grant Thornton - too esoteric and not enough real life examples.
Anonymous
(Senior Manager)
Instructive course on predictive analysis and how it may be used, as well as the potential and power behind same.
Anonymous
(Managing Director)
meaningful and informative review. I thought the Target example was helpful. Perhaps, an invasion of privacy.
Elizabeth Benson
(Director of Finance at JAFRA Cosmetics)
Looking forward to classes with more details so that I can start applying this to my work environment
Raveendran Madappattu
View Instructor Profile
Excellent coverage on Artificial Intelligence, Data Analysis, etc that leads to predictive analysis.
Anonymous
(Senior Financial Analyst)
Great introduction to predictive analysis course. Looking forward to taking other courses offered.
Anonymous
(Director)
interesting to learn the uses of data analytics and how companies have used the predictive power.
Anonymous
(Associate Director, CFCC Assurance)
Great introduction to business forecasting. The presenter does a good job explaining everything.
Anonymous
(Manager)
Seeing how it is used by businesses is interesting. Would like to see more of "how" it is done.
Anonymous
(Admin Assistant)
This course is a good introduction. I need to expand on the topic to obtain additional skills.
Deborah Tabacco
( at Transcend Technology, LLC)
This course is a solid foundation (or refresher) of what Predictive Analytics can be used for.
Anonymous
(CFO)
This seems like a good high level overview. Looking for more substance in the other courses.
Anonymous
(Risk Management Analyst)
I think the course could be more interactive. With more visual data instead of just talking.
Anonymous
(Managing Director)
good overview for PA. I enjoyed the discussion and the level at which it was presented.
Anonymous
(Senior Manager, Business Analytics)
This course is a nice starting point for predictive analysis and how it can be used.
Anonymous
(Controller)
This was a very good summary and to the point on the topic of predictive analytics.
Anonymous
(Controller)
Great introduction to the material. I appreciate how it is broken down into steps.
Anonymous
(Manager)
Very useful course. The instructor was able to apply this to real life examples.
Peter Poulos
(Managing Director at Grant Thornton LLP)
Good course but some of the questions on the exam could have been written better.
Martin Williams
(Finance Manager at think global Milengo GmbH)
Nice overview of the subject. More details are needed to implement though.
Anonymous
(Managing Director)
Very helpful overview of predictive analytics and the benefits.
Anonymous
(Tax Director)
This sessions was a good basic session on business forecasting.
Michael Zomber
( at MOCFS)
Brief but very informative and comprehensive course. Well done!
Anonymous
(Director)
A great overview of predictive analysis! Highly recommended.
Stephen Webster
(Manager at Grant Thornton LLP)
Thanks for putting the course together. It was very helpful.
Eric Coombs
(Partner at Grant Thornton)
I liked how the class was broken up into different modules.
Anonymous
(CFO)
Great introduction to PA. Willing to continue learning more
Anonymous
(Director)
This course was easy to follow along with the instructor.
Peter Dewan
(Tax Associate at Grant Thornton)
The instructor did a good job of explaining the concepts
Anonymous
()
Presenter was well-spoken and provided good insight.
Anonymous
(Director)
This training is a good intro to predictive analytics
John Cross
( at Greystone)
Good use of case studies. Very interesting topic.
Adam Hargett
(Vice President of Finance at Randolph Electric Membership Corporation)
Good overview
Prerequisites
Course Complexity: Foundational
Viewers should be familiar with basic financial and accounting concepts.
In addition, viewers should be familiar with Big Data and Business Intelligence, or review my existing courses on the topic.
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
.
Michael McDonaldPresident
About Illumeo
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