We typically partner with clients to deliver earnings improvements of 20-30% over a nine months time frame. Our track record is unmatched in the consulting industry: 20 years and over 2,000 projects around the globe that have delivered documented performance improvements of well over 20%.
“Most often today the difference between a company and its competitor is the ability to execute. If your competitors are executing better than you are, they’re beating you in the here and now, and the financial markets won’t wait to see if your elaborate strategy pays out.”
- Larry Bossidy, Execution: The Discipline of Getting Things Done
We believe that the fastest and most sustainable path to higher earnings and cash flow is solid execution. The Mitchell Madison Group starts with a company’s existing strategy and focuses on execution excellence with innovative approaches, detailed analytics, creativity and highly trained staff.
Our no-nonsense approach to earnings improvement takes the existing strategy as a given and reduces cost via strategic sourcing, outsourcing and globalization, increases revenue realization via pricing optimization and sales effectiveness and extracts working capital via process improvement and inventory management. We like to help you execute and then exit.
Our strategy combines our broad global perspective and economic insight with executive experience ranging from operations optimization to corporate and business unit strategy. Our recommendations are practical and grounded in actual operating experience of many of our consultants.
The power of Big Data lies in uncovering actionable and profitable insights by combining company internal data with public and social media and purchased databases and applying sophisticated machine learning technology. Most companies have only scratched the surface of this vast opportunity.
Some clients require ongoing, “light-touch” analytical support to make important initiatives work. Because we partner with our client to achieve lasting success, we often supplement client resources for analytically intensive tasks in a low-cost onshore / offshore model.