PRESENTATION TRANSCRIPT:
Learn how to combat VM sprawl and other virtualization challenges with the right management tools, and develop the proper strategies to get the best possible ROI in this expert resource.
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By implementing loyalty programs that are integrated across sales, service, and marketing - across all channels of interaction - a firm can greatly enhance the customer experience, increase customer retention, and foster development of a community of people who serve as advocates for the business.
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There is added pressure for modern contact center agents, with customers armed to the teeth with devices to connect with businesses—from tweets to texts to phone calls. But with proper metrics to gauge performance and lead to instructive training, some of that pressure can be alleviated.
WEBCAST:
This Q&A video is an in-depth look at Pentaho's BI 4 Enterprise Edition, a user-driven BI system. Watch to learn about the latest features including: interactive reporting, data discovery capabilities, and new user interface.
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What exactly is business analytics and how can it help? Business analytics is, simply put, the application of analytical techniques to resolve business issues. It provides organizations with a framework for decision making, helping organizations solve complex business problems and more.
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This quick guide from Service Desk Institute identifies the most popular industry metrics that you should be employing, considers the best ways to measure them and demonstrates how to utilise these measures to improve your service delivery.
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This guide was written to help identify or measure those critical CX measurement points that provide feedback on the health and success of a CX initiative. It is intended to familiarize you with important CX measurements and Key Performance Indicators (KPIs) along with providing a definition and a method to calculate their value.
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This brief paper will examine the differences between Agent and Agentless monitoring, so you can make the right decision based on your company’s needs.
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When developing or reengineering the enterprise architecture, implementing fundamental data quality practices can reduce the complexity of the data management framework thus reducing effort, risk, and leading to a high degree of trust in enterprise information. Read this paper to learn more about data quality practices and core data services.
