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Is an Open Source BPM Solution Right For You?

If you are considering deploying business process management (BPM) solutions, but have been daunted by the cost, footprint, risk, lack of flexibility, or complexity of proprietary options, an enterprise open source approach may be just what you are looking for.

Behavior Driven Development and BRMS

Behavior-driven development is an agile application life-cycle management framework that helps developers and business experts communicate effectively. Red Hat Consulting helps clients improve speed-to-market, reduce risk, and sustain quality by implementing agile development techniques with proven business rules management products, including Red Hat JBoss BRMS. Download this white paper to learn more about these approaches and see how organizations can keep pace with the demands of our rapid global marketplace with a combination of professional services and software from Red Hat.

The Business Value of Red Hat Integration Products

Read this white paper to learn about the six organizations that IDC interviewed that report achieving significant business value by using Red Hat JBoss Fuse, in particular, and making their application integration and development efforts more effective and productive. These six organizations are achieving a 3-year average return on investment (ROI) of 488%, and earning back their investments in Red Hat JBoss Fuse in 8.2 months.

The Forrester Wave

Read this report to compare 14 of the most significant middleware providers and their fit for hybrid scenarios between the cloud and on-premises, as well as across the different traditional on-premises integration capabilities to help you select the right partner for your hybrid integration endeavors.

Re-Think Data Integration

Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in BI systems with simpler and more agile architectures that can confront the new challenges much easier.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

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The Intelligent Integrated Enterprise Advantage

Read this paper to learn how you can create an intelligent, integrated enterprise that dramatically increases both customer satisfaction and profitability. By leveraging business intelligence to integrate and manage widely distributed systems, your organization can meet and exceed enterprise commitments to customers.