With dual goals of helping telecommunications companies improve customer loyalty and maximize profits, SAS, the leader in business intelligence, will deliver new software to help these companies create and price effective service bundles. SAS® Price Plan Optimization for Telecommunications enables service providers to address declining profit margins and expanding customer requirements, thus, to overcome competitive pricing strategies while improving customer satisfaction.
With explosive growth in products and services increasing the competition for the communications wallet share, services and offers bundling has become increasingly effective for customer acquisition, retention and profitability. The "2007 Telecommunications Market Review and Forecast" for the global telecommunications industry, conducted by Wilkofsky Gruen Associates, predicts that 77 percent of residential telecom service subscriptions will be part of a broader service bundle in 2010, up 275 percent over 2006.
SAS is the first enterprise software provider to empower service providers with predictive analytics for building effective bundle offerings and meaningful price plans also referred to in some markets as bill plans, rate plans, tariff plans or call plans. Shipping in December, SAS Price Plan Optimization for Telecommunications allows pricing analysts and managers to surface insights hidden in disparate data sources such as billing systems, CRM systems and activity-based costing systems.
Given the volatility in the communications industry across customers, competitors and the business environment, reducing time to market is critical. SAS Price Plan Optimization for Telecommunications brings integrated price plan strategy, performance analysis and forecasting, price plan migration propensity and interactive simulation to business managers needing powerful yet user-friendly software to answer questions about both market segments and individual customers, such as:
- Are existing price plans across targeted customer segments fulfilling the organization's strategic objectives?
- What is the comparative value (revenue, profits, subscriber counts, and churn/loyalty) for different price plans?
- Which customers are likely to migrate to new price plans or switch to a competitor?
- How would introducing new price plans affect revenues and profitability targets?
Answering these questions helps managers to proactively segment customers and prospects into manageable sets for presenting tailored services bundles and offers. The performance analysis functionality of SAS helps close this "analyze, plan, act, evaluate" loop and ensure continuous improvement in pricing strategy to support achieving business objectives.
Built on the SAS Enterprise Intelligence Platform, the new offering brings the best in data integrationbusiness intelligenceanalytics capabilities along with documentation and methodology for best practices.
Today's announcement was made at The Premier Business Leadership Series, a business conference in Las Vegas that brings together more than 1,000 attendees from the public and private sectors to share ideas and knowledge on critical business management issues.
About SAS
SAS is the leader in business intelligence and analytical software and services. Customers at 43,000 sites use SAS software to improve performance through insight from data, resulting in faster, more accurate business decisions; more profitable relationships with customers and suppliers; compliance with governmental regulations; research breakthroughs; and better products and processes. Only SAS offers leading data integration, storage, analytics and business intelligence applications within a comprehensive enterprise intelligence platform. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. www.sas.com
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2007 SAS Institute Inc. All rights reserved.
