Noha Tohamy helps companies along their journey to build a strong supply chain analytics competency. Utilizing proven frameworks, Ms. Tohamy advises companies on defining a supply chain analytics strategy and roadmap, developing the requisite talent and making appropriate technology investments. She outlines the most successful organizational models for supply chain analytics centers of excellence and assists in identifying the use cases that present the highest potential for operational improvements and business growth.
In particular, Ms. Tohamy researches the impact of advanced analytics on supply chain digitalization. She helps clients understand the true potential of techniques like machine learning, optimization, cognitive analytics and artificial intelligence for improved decision making and intelligent process automation.
Ms. Tohamy was an original author of Gartner's 5-Stage DDVN and 5-Stage S&OP Maturity Models. She has written extensively on trends, technologies and best practices in supply chain planning, network design, S&OP and risk management. In her 23-year career in supply chain, Ms. Tohamy has guided hundreds of companies through building the business case for continuous improvement and transformational initiatives, ranging from network design, collaborative planning, risk management and integrated business planning.
Before Gartner, Ms. Tohamy was a Vice President at AMR Research, leading an analyst team that researched core functional processes to plan, source, make and deliver. Before that, she was a Principal Analyst at Forrester Research, leading their supply chain research. Previously, Ms. Tohamy has held various senior technology and consulting positions at companies including The Sabre Group, i2, ProfitLogic and Syncra Systems.
The Sabre Group
Supply Chain Technology Strategy and Selection
Supply Chain Strategy, Leadership and Governance (retired)
M.S., Operations Research (with a focus on Optimization), Georgia Institute of Technology
B.S., Mathematics, Emory University
1What is the role of machine learning in supply chain decision making?
2What are the talent and organizational models required for analytics and digitalization?
3What are the trends and best practices in network modeling?
4How do companies mature in using advanced analytics?
5What are the top technologies to support analytics?