Revenue Analytics: Price Optimization

Revenue Analytics: Price Optimization is designed to give participants hands-on experience in using data-analytics tactical tools for successful revenue-optimization strategies in a variety of business scenarios. The program is ideal for: Mid-to-senior management in business development, general management, and sales who are seeking new strategies for driving up business revenue and profitability Category managers, product managers, and marketing managers who are challenged to develop new competitive strategies for revenue planning and management Finance and revenue-planning managers who want to hone their forecasting of market trends and changes to support a more effective marketing strategy Pricing analysts and business analysts who are challenged to design an elegant pricing approach for a product or service portfolio Identify and understand the key problems solved by revenue-management analytics Solve revenue-management problems using various models for revenue forecasting, statistical estimation, and optimization Understand the economic and mathematical concepts of revenue management in different business contexts Make business decisions and develop an optimal pricing strategy based on estimation data Determine optimal pricing strategies to maximize business revenue Drive product revenue by applying sales strategies such as discounting and bundling Use analytics to forecast trends, risks, and challenges in existing and new markets and create strategies to manage them