Data Strategy: Improve how your company collects, uses, manages, and publishes data.
Business Intelligence and Reporting Strategy: Improve the way data is organized and presented.
Operational Analytics and Metrics: Measure performance against goals.
Predictive Analytics and Machine Learning: Improve forecasting and planning.
Strategic Workforce Planning and Scheduling: Predict and plan future workforce needs.
Executive Analytics Training/Coaching: Develop and enhance the analytics capabilities of managers and executives
Business Intelligence: Power BI, Power Query, Tableau
Programming Languages: Python, R, SQL
Analysis and Modeling: Statistical Analysis, Machine Learning, Simulation Modeling, Spatiotemporal Modeling, Network modeling
Companies Call Us When They Need…
An analytics expert for data intensive projects
Advice on data strategy: how to find or collect data, assess data needs for a project, evaluate data quality, and address data cleaning (Data Strategy)
Conduct or oversee data analysis, statistical analysis, survey analysis, or modeling and report on findings and recommendations (Data Analytics)
To increase profitability by improving the productivity of core operations functions
Better data insights into their sales pipeline and business development process, including cross-product and cross-market line accounts, to increase revenue and margins (Business Development/ Sales Pipeline Analytics)
Better data insights into their talent acquisition, management, and training processes to improve retention, engagement, and productivity (People Analytics)
Better data insights into product and services delivery to improve quality, efficiency and effectiveness and reduce cost/increase margins (Product/Services Analytics)
Automation of manual reporting processes (Report Automation and Optimization)
To augment the analytics knowledge and skills of managers and executives
Customized in person analytics training to build on the existing business knowledge, subject matter expertise, and analytical potential of executives and managers so they can oversee and provide feedback on analytics initiatives (Executive Analytics Training)
Industrial sector analytics insights (transportation/ supply chain/ manufacturing/ utilities)
Better data insights into transportation systems and distribution networks to optimize service delivery (Transportation and Supply Chain Analytics)
Better data insights into physical infrastructure asset management to improve uptime, availability, and reduce cost (Enterprise Asset Management Analytics)