Michael Mcadoo Email & Phone Number

Shawnee, Ks, Us

Kirkland, Wa, Us

Kirkland, Wa, Us

Columbus, Oh, Us

Directed a global team of 26 in delivering sales data and analysis to leadership. Established guiding principles and best practices for analytics function. Utilized quarterly insights and ad hoc analysis to establish sales quotas. Kept executives informed of progress toward key analytics objectives and reviewed priorities to ensure rapid response to priority shifts. - When customer data was preventing the business from effectively setting quotas, we took over customer master data management responsibilities from IT and improved customer parent-child mapping from 70% to 85% of revenue in the first six months while reducing customer setup times from an average of 5 days to 2.5 days.- When an internal survey determined significant salesforce time was being spent reconciling commissions statements, led an improvement effort that resulted in a reduction in post-transaction adjustment of 90% for a total line reduction of 40% (follow up survey to be conducted in Q4 2020).- In an effort to provide data driven insights that could drive channel market strategy, built an interactive PowerBI dashboard that tracked market penetration by geography, resale partner, and product line. As a result of the analysis, reseller program discount levels were consolidated and adjusted and the sales team was realigned to focus on key areas. Channel sales increased 8% 2H 2018 vs 2H 2019 after the changes were implemented.

Columbus, Oh, Us

Led team of 5 subject matter experts and business partners in preparing reports on sales and manufacturing operations and in performing complex analytics to answer key business questions. Met with sales and operations leadership to identify top analytics priorities and deliver updates and findings. Established vision and process for each team member to deliver quarterly field sales analytics projects that provided insights to field sales leadership and enhanced their ability to sell. - Forecasting was a highly manual process and required large amounts of man hours to deliver a product that was frequently off by large percentages. I developed a data driven forecast that incorporated historic patterns and pipeline data to give operations a more reliable estimate of demand. Forecast accuracy improved to better than 80% for all product families.- Quotas were determined based on leadership decision. In an effort to provide them with better data, created forecasts of office level performance by product segment, using historic data and market intelligence to produce growth by metropolitan area. 70% of offices met quota the following year (up from 50% previous three years).

Remote-First Organization , Us

Implemented and oversaw customer experience measurement (CEM) programs for approximately 20 retail, restaurant, and grocery clients. Assigned, coordinated, and reviewed research, technical, and support staff functions for client projects. Delivered data analysis presentations in person and by webinar to client executive and operations teams.

Arlington, Va, Us

Managed, updated, and revised Microsoft Excel/Visual Basic simulation model of future price increases based on cost allocation of financial impact of audit initiatives. Advised audit teams and mentored Operations Research Analyst.

Arlington, Va, Us

Advised audit teams regarding statistics, sampling techniques, monetary impact calculation and logic, cost-benefit analysis, cause/effect analysis, and additional quantitative analysis.

Master Of Science, Industrial And Manufacturing Systems Engineering

Bachelor Of Science, Industrial And Manufacturing Systems Engineering