Why you should attend

The time frame for tackling issues is shrinking, even as business issues become more complex. Bigger models must be built with finer levels of details – and often with the deadline of "as soon as possible."

But ease of use is almost as important as speed. It has to be easy to translate the business data into optimization model parameters so the software can solve the problem.

Building models and performing computationally intensive analysis are useless unless you act on the insights gleaned from these processes. It’s when you integrate analytics into an enterprise platform – to connect directly into your data warehouses and BI systems – that your ROI will soar!  

Learn how technology can give you both the speed and ease of use so critical to today’s analytical modeler.

Key takeaways

Find out why technologies for optimization and management science methods play a crucial role in a wide range of business issues, including:

• Resource allocation and management.
• Production and inventory planning.
• Product mix and blending.
• Staffing allocations.
• Supply chain management and optimization.
• Capital budgeting, asset allocation and portfolio selection.
• Identification of the best customer-offer-channel combinations given budgets and other constraints.

Featured presenter

Mary Grace Crissey is the Analytics Marketing Manager at SAS, where she follows her passion for applying mathematics and advanced analytics to real-world challenges. With more than 20 years of experience as a military scientific officer, she serves in leadership roles for several professional organizations, including the Institute for Operations Research and the Management Sciences (INFORMS).

Questions? Contact Buffie Silva at Buffie.Silva@sas.com or (919) 531-0345.