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.
At this year’s Global Pricing Forum, host Nomis Solutions announced the availability of its Discretion Manager software, which supports dynamic price negotiations. The annual event brings together thought leaders and practitioners interested in pricing. Nomis currently has 17 of the largest 100 banks as customers. With more customers, this year’s event had larger attendance than last year’s.
Topics: Analytics, banking, Big Data, Business Analytics, Business Performance Management (BPM), credit, financial analytics, Financial Performance Management (FPM), financial services, Nomis Solutions, Operational Performance Management (OPM), PRO, Sales Performance Management (SPM), Sales, Office of Finance
I recently attended the 2012 Global Pricing Forum hosted by Nomis Solutions, a provider of software and services to banking and finance companies. This annual event brings together thought leaders and practitioners in the area of pricing and revenue optimization (PRO). This technique uses analytics to sift through large data sets to tease out customer behavior characteristics, identify customer segments and quantify their price sensitivities. These complex calculations require software designed for the purpose, but most in the financial services industry rely on older methods that produce less-than-optimal results. Analytics can help organizations more carefully manage the process of defining offers to customers (especially the levels of discretion offered to account managers and sales people) and the terms and conditions.
Topics: Analytics, banking, Business Analytics, credit, financial analytics, Financial Performance Management (FPM), financial services, Nomis Solutions, Operational Performance Management (OPM), PRO, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Sales, Office of Finance
Doing one’s homework is vital in buying business software. However, unless you’re replacing a relatively simple application, it’s hard to know exactly what to evaluate. Indeed, if people in a company given this task don’t have experience in using a specific type of business application or don’t understand how new or improved functionality will help execute business processes better, they may do a poor job of assessing the available alternatives. Third-party consultants may be helpful, but their prejudices and familiarity with a vendor’s products may cloud their objectivity. In the end, a buyer might agree with their point of view, but this agreement should be an informed decision.
Topics: Analytics, Business Analytics, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Model N, Navetti, Nomis Solutions, Operational Performance Management (OPM), Oracle, Performance Management, Price Optimization, Profitability, PROS Pricing, Sales Performance Management (SPM), Servigistics, Signal Demand, Software, Vendavo, Vistaar Technologies, Zilliant, Human Capital Management, Sales, Office of Finance