Maverick Strategy Consulting
Intelligent Business Moves
Data-driven game plans || Informed decision-making || Peace of mind
Simone Jackson
Founder, Maverick Strategy Consulting
Simone Jackson is an accomplished data analyst and statistician who turned her passion for precisely measuring outcomes and keen ability to extract insights from the most complex datasets into her own consulting firm. She brings 15 years of supporting executive decisions, developing analytics solutions, and constructing data engineering protocols. Moreover, Simone brings the core belief that precise KPI measurement yields precise KPI management and guiding principle that problems should be solved so they don’t happen again.
Simone’s corporate experience spans the finance, technology, healthcare, and supply chain industries. She holds both undergraduate and graduate degrees in Economics with a minor in Statistics.
Business leaders and decision makers hire Simone to translate data into insights and answers to questions they didn’t know they had. Clients rely on Simone to uncover the story behind the data and position them to make intelligent business moves.
Key Contributions
Simone has applied her expertise in decision science, quantitative methodology, and statistics to support broad-reaching strategies across various industries.
Root cause analysis to increase patient safety outcomes
Rush University Medical Group
– Designed root cause analysis methodology to identify key drivers of patient safety events.
– Created a probability model to help facilitate targeted remediation and risk prevention efforts to predict the likelihood of when and where patient safety events will occur.
– Matured the Enterprise Risk Management program by introducing a new risk identification instrument and a more comprehensive risk calculation strategy.
Statistical modeling and keen database programming to achieve performance outcomes.
Charles Schwab & Co., Inc.
– Devised a performance evaluation method to uncover outliers in business performance, resulting in a more precise way to evaluate client program alignment.
– Corrected the annual risk calculation methodology and engineered a calculator tool in Microsoft Excel to help execute a successful Corporate Risk Assessment exercise with 100% automation and 100% accuracy.
– Contributed to the 98% retention of high-value active traders during a merger by introducing new metrics/key performance indicators (KPIs) and a rigorous way to identify which accounts are at risk of attrition.
– Uncovered drivers of low trading performance by developing a correlation analysis model, which further resulted in a recommended data-driven approach to client segmentation.
– Increased operational efficiency by reducing Compliance Oversight Reporting from 50 hours of manual data collection, aggregation, and visualization to one (1) hour by constructing new data engineering protocols and building highly interactive dashboards in Tableau.
– Supported a corporate-level strategic objective by designing a research study to measure and improve the technical skill level of a targeted employee population and creating a new composite metric to benchmark and manage skill level in response to training initiatives.
Data analytics to overcome operational inefficiencies
GrubHub
United Healthcare Consortium
Banker's Life
McMaster-Carr Supply Company
Willis, N.A.
GrubHub: Remediated an inaccurate performance reporting process by designing data warehousing protocols and engineering an automated reporting tool using Microsoft Excel.
United Healthcare Consortium: Created a simulation tool to determine the expected payment client hospitals would receive under the Centers for Medicare & Medicaid Services’ Value-Based Purchasing (VBP) program.
Banker’s Life: Established a regression model to predict branch performance with 97% accuracy to support the Sales Operations resource allocation strategy.
McMaster-Carr Supply Company: Developed a correlation model and introduced a new way of reporting performance drivers that resulted in a 75% reduction in data entry errors and promoted enhanced training protocols.
Willis, N.A.: Uncovered $80,000 in missing revenue by developing database query logic.
