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.
The proliferation of chief “something” officer (CxO) titles over the past decades recognizes that there’s value in having a single individual focused on a specific critical problem. A CxO position can be strategic or it can be the ultimate middle management role, with far more responsibilities than authority. Many of those handed such a title find that it’s the latter. This may be because the organization that created the title is unwilling to invest the necessary powers and portfolio of responsibilities to make it strategic – a case of institutional inertia. Or it may be that the individual given the CxO title doesn’t have the skills or temperament to be a “chief” in a strategic sense.
Topics: Business Analytics, Business Collaboration, Business Performance, Chief Risk Officer, Cloud Computing, compliance, CRO, Data, Data Governance, ERM, Financial Performance, financial services, FPM, GRC, IBM, OpenPages, Operational Performance, Risk, Office of Finance
Integrated risk management (IRM) was a major theme at IBM’s recent Smarter Risk Management analyst summit in London. In the market context, IBM sees this topic as a means to differentiate its product and messaging from those of its competitors. IRM includes cloud-based offerings in operational risk analytics, IT risk analytics and financial crimes management designed for financial institutions and draws on component elements of software that IBM acquired over the past five years, notably from Algorithmics for risk-aware business decisions, Open Pages for compliance management, SPSS for sophisticated analytics, Cognos for reports, dashboards and scorecards, and Tivoli for managing all of this in a Web environment. Putting its software in the cloud enables IBM to streamline integration and maintenance, offer more flexible deployment and consumption options and potentially lower the total cost of ownership.
Topics: Business Analytics, Business Collaboration, Business Performance, Chief Risk Officer, Cloud Computing, compliance, CRO, Customer & Contact Center, Data, Data Governance, ERM, financial services, FPM, Governance, Risk & Compliance (GRC), GRC, IBM, Information Applications, Information Management, IT Performance, OpenPages, Operational Intelligence, Operational Performance, Risk, Supply Chain Performance, Office of Finance
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, credit, financial analytics, Financial Performance, financial services, Nomis Solutions, Operational Performance, PRO, Sales Performance, 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, financial services, Nomis Solutions, Operational Performance, PRO, Sales Performance, Supply Chain Performance, Sales, Office of Finance