About Storm.

Wendy Brotherton has worked in multiple technical and analytical roles for within several industries including: transportation, healthcare, automotive engineering, website technology, casino gaming, merchandising, and Department of Defense/NAVY government contracting for over 25 years.  This experience has resulted in a diverse background in data science, statistical analysis, project management, process improvement, and automation.

She possesses a diverse mastery of relevant technical solutions and a natural curiosity for problem solving.  She has lead several successful modernization projects for organizations providing them new and innovative reporting and analytics environments:  West Cancer Center & Research Institute, FedEx, Harrah’s Entertainment, Autozone and the U.S. Navy (Office of Naval Research).

Wendy is effective in providing data-driven insights for decision support and possesses a full understanding of key performance metrics development.  She has mastery of AGILE development, design thinking, use case development, data architecture and project management. 

She was recognized for her leadership at FedEx where she won multiple awards including: Global Marketing Shining Star, Leadership Impact Award, Leadership Rising Star and Global Marketing Team Award.

She is active in the Memphis technology community serving as a Collaborator at the UMRF Research Park.  She leads the Memphis Tableau Users Group and Data Science Community informing others of trends and innovation within data science.  She also volunteers her expertise to assist CodeCrew with data analytics to help positively impact technology and computer science education for youth across Memphis. The BI and visualization tools she utilizes include: Alteryx, Tableau, Cognos, SAS, SPSS and R.  

Wendy founded Storm Analytics to help organizations gain insight from their data, and use those insights to change business processes to bring value. She does this through a blend of statistical analysis, data visualization, machine learning, optimization, and data engineering techniques.

Storm employs data science consultants who enjoy doing the hard, mathematical work behind the scenes and using these data-driven insights to change the way decisions are made.

Our relationship with a customer often starts with identifying and analyzing a data science opportunity, working with customer stakeholders to develop a business case for pursuing it, and presenting the business case to key decision makers. This can be a Proof of Concept, Rent a Data Scientist, or Analytics Assessment engagement. We often perform the role of Advanced Analytics team for our customers, or can work with an existing Analytics team depending on the need. Our consultants bring cutting edge methods from statistics, operations research, machine learning, artificial intelligence, decision science, cognitive science, software engineering, business intelligence, human factors, and organizational behavior to produce the most appropriate model or suite of models to bring value, not just a pretty chart.

When we deploy models into a production decision-support or decision-automation system, we follow the customer’s design and development methodology (agile/lean, waterfall, hybrid, etc.) and include quality testing at every level, to ensure the most reliable and scalable solution possible. We collaborate with customer executives and staff at all times to make sure we bring business value.