Price and revenue optimization (PRO) software uses analytics to help companies maximize profitability for any targeted level of revenues. PRO utilizes data about buyer behavior to gauge individual customers’ price sensitivity and predict how they will react to prices. It enables users to charge buyers who appear to be less sensitive more than those who appear more price-sensitive. PRO is a significant departure from inward-focused, single-factor pricing strategies such as cost-plus pricing or, in the case of financial services, risk-based pricing (using a borrower’s credit score, for example). Instead it offers a multifaceted customer-centric analytic approach to pricing built on analysis of large sets of data.
I believe that one of the more important analytical applications that a company can implement is profitability management. IBM Cognos offers Profitability Modeling and Optimization as part of its Cognos 10 offering that my colleague has assessed. As I’ve noted, most people in a corporation are focused on profitability, but not necessarily in a way that optimizes results across the organization in a day-to-day, consistent fashion. Those responsible for each component piece that contributes to profitability (such as departments, product lines or divisions) have objectives, but in pursuing these individual objectives they may make decisions that degrade the overall profitability of the corporation. Moreover, companies rarely seek to maximize short-term profits. They routinely make decisions that diminish their bottom line, such as promotional pricing, warranties or services included at no additional cost, with the aim of achieving strategic objectives. The question they must answer in making these decisions is whether these moves are justified. Similarly, they also must ask what they are including in their offer that they might be able to charge more for, such as shipping or warranties.
Topics: Performance Management, Forecast, Modeling, Operational Performance Management (OPM), enterprise profitability management, Business Analytics, IBM, Business Performance Management (BPM), Cognos, Financial Performance Management (FPM), Sales Performance Management (SPM), Workforce Performance Management (WPM), financial services, optimization, Profitability, profitability optimization, segmentation
In today’s economy, all companies are contending with a dynamic business environment characterized by volatile commodity prices and exchange rates, a shaky global financial system and slow growth in many countries. Many of them rely heavily on desktop spreadsheets to support the data collection and analysis related to their capital-asset planning. However, spreadsheets have inherent limitations that make them the wrong choice.
Topics: Planning, SAP, forecasting, Operational Performance Management (OPM), Planview, Budgeting, contingency, IBM, Oracle, Business Performance Management (BPM), Financial Performance Management (FPM), agile, capital spending, optimization, volatility