This paper explores the top seven must-have features in a Real-Time Streaming Analytics (RTSA) platform in order to help you choose a platform that meets the needs of your organization.

This white paper explores strategies to leverage the steady flow of new, advanced real-time streaming data analytics (RTSA) application development technologies. It defines a thoughtful approach to capitalize on the window of opportunity to benefit from the power of real-time decision making now, and still be able to move to new and emerging technologies as they become enterprise ready.

Streaming analytics platforms provide businesses a method for extracting strategic value from data-in-motion in a manner similar to how traditional analytics tools operate on data-at rest. Instead of historical analysis, the goal with streaming analytics is to enable near real-time decision making by letting companies inspect, correlate and analyze data even as it flows into applications and databases from numerous different sources. Streaming analytics allows companies to do event processing against massive volumes of data streaming into the enterprise at high velocity.

Improving contact center efficiency remains a top priority for most service professionals. Yet, the impetus for doing so has shifted from a conversation about cost toward a greater focus on the customer experience. The reason is simple: contact center efficiency costs are intertwined with the customer experience. Increasingly, controlling cost in the contact center depends on the extent to which an organization can meet the growing demand for A+ customer self-service experiences. When I have a question, customers now ask, is it quick and easy to find an answer? Three important pillars of contact center efficiency now depend on the answer to this question.

This White Paper discusses the challenges companies may face while moving to big data solutions such as Hadoop and/or NoSQL.