Prescriptive Analytics – Smarter Decisions Through Optimization
Prescriptive analytics differs from descriptive and predictive analytics in that prescriptive models yield a course of action to follow. That is, the output from a prescriptive model is a plan for management to follow. Applications in business including production planning, location analysis, supply chain design, transportation, marketing/product design and financial portfolio analysis will be discussed. This module will include hands-on experience using open-source software (Open Solver) in Microsoft Excel.
What You’ll Learn
In this one-day program, we will discuss prescriptive analytics including rule-based systems, heuristics and optimization, with an emphasis on optimization modeling of real business problems.
Key program takeaways include:
- Introduce analytics techniques in the context of real-world applications
- Improve your ability to view business processes and relationships systematically and analytically.
- Techniques for using data to generate new ideas, experimenting with solutions, and evaluating alternatives
- Optimization with Linear & Discrete Models
- Business Applications of Linear Models with Open Solver
Who Should Attend?
This program is designed for analysts who want to learn more about predictive, descriptive, and prescriptive analytics and how making decisions with data can be enhanced through optimization models. This module is highly relevant for anyone seeking advanced knowledge in optimization modeling.
This course assumes prior knowledge of algebraic notation and Excel.
|7:45 – 8:30||Continental Breakfast|
|8:30 – 10:00||Introductions and agenda|
|What makes decision making difficult?|
|Analytics: Descriptive, Predictive and Prescriptive|
|From Mess to Model|
|10:00 – 10:15||Break|
|10:15 – 11:00||Optimization: Linear Models|
|11:00 – 12:00||Business Applications of linear Models|
|Excel Solver / Open Solver|
|12:00 – 12:45|
|1:45 – 2:45||Optimization: Discrete Models|
|2:45 – 3:00|
|3:00 – 3:30|
Hands-on Case Study: Linear Model
|3:30 – 4:30|
Optimization Modeling: Nonlinear Models
Hands-on Case Study: Nonlinear Model
|4:30 – 5:00|
Program begins promptly at 8:30 and will wrap-up no later than 5:00.
Wake Forest University Charlotte Center
200 N. College Street, Suite 150
Charlotte, NC 28202
Parking is available in the Wake Forest Charlotte Center parking deck, which is adjacent to the Wake Forest Charlotte Center on 5th Street.
The cost of the program is $925 and includes materials, continental breakfast and lunch, and is due in full at time of registration. Additionally, Wake Forest University alumni, faculty, and staff receive a 10% tuition discount. Please contact Debbie Anderson, email@example.com, for more details.
Course materials are included in the cost of tuition. Course materials will be distributed electronically in advance of the program start date. Participants must have a laptop or tablet computer to access course materials.
Registration and Payment
This is an open enrollment program. Application is not required. Course registration is complete when payment is processed. Upon registration, a representative of Wake Forest will contact you to validate the registration information and to assist in fee payment. Please click the link below to begin the registration process.
Cancellation of Program
This course is offered contingent upon sufficient enrollment. If a course must be cancelled, all registered participants will be notified at least five (5) calendar days before the course’s start date. All registered participants will receive a 100% tuition refund. No fees will be charged for cancelled courses.
Prospective participants who withdraw at least 15 days prior to the start of a course will receive a full refund of tuition paid.
For More Information
For more information or to speak with a program adviser, please send an email to Debbie Anderson at firstname.lastname@example.org or call 336-758-4181