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Pegasystems' new BPM Offers Unified, Predictive Decision Power

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June 07, 2011

Pegasystems' new BPM Offers Unified, Predictive Decision Power

By Mandira Srivastava, TMCnet Contributor

In order to improve business productivity by focusing on revenue, cost structure, and resource velocity, Pegasystems (News - Alert) Inc., a company in business process management (BPM) and software solutions for customer centricity, has introduced the latest version of Pega BPM.

According to a press release, Pega BPM applications will enable business users to leverage a unified environment of BPM and business rules with advanced analytics to predict and act on customer needs. It dynamically adapt to customer-facing business processes to optimize business outcomes.

Alan Trefler (News - Alert), Founder and CEO of Pegasystems said, "Organizations need to be able to Build for Change in today's global economy to differentiate themselves, drive revenue growth and improve the customer experience. Customer centricity has become a key strategic goal for the majority of our clients. Pega was the first and only BPM solution to offer a truly unified platform for business rules and business process. Adding proven and business-friendly predictive analytics makes the solution an even more unique and compelling choice for those who need to delight customers and dynamically adapt to meet their needs, all while improving efficiency."

Pega BPM solution offers advanced business analytics with real-time adaptive self-tuning to help guide intelligent conversations with customers for retention, cross-sell/up-sell, and risk management. It provides business users the tools they need to build complete process models on the Web, along with enhanced tools to handle advanced UI, integration and business events to provide much faster time-to-market with reduced training. It enables business users to define and trigger time or pattern-driven changes to forms, reports, or cases.

James Kobielus, Senior Analyst at Forrester Research (News - Alert) said, “CRM professionals should integrate recommendation-engine technologies into all customer-facing processes. This will drive next best actions and enable companies to maximize the return on sales, marketing, and customer-service initiatives in a multichannel CRM environment.”

The predictive and adaptive decision making components enable organizations to optimize customer-facing processes to provide a better overall customer experience.

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Mandira Srivastava is a TMCnet contributor. She works as a full-time writer, ghostwriter and blogger, and has more than two years of experience in print and Web media. She has also worked on company brochures, website content and product descriptions, as well as proofreading and editing content. To read more of her articles, please visit her columnist page.

Edited by John Lahtinen

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