RESEARCH & RESOURCES

TDWI White Paper Library

TDWI maintains this library of white papers as a resource for in-depth research and commentary about the big data, business intelligence, data warehousing, and analytics industry. The content in this repository is crafted by TDWI's software and consulting partners. To find out how your company can promote its content in this library, click here.


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Top Six Considerations for a Streaming Analytics Platform

September 21, 2018

Enterprises today need a streaming analytics platform that can filter, aggregate, enrich, analyze, and visualize high-velocity data from multiple disparate live data sources in any data format and unify this insight with data from batch sources.


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Case Study: Top U.S. Airline Boosts Real-time Customer Experience Across Channels with StreamAnalytix

September 21, 2018

This major U.S. airline chose StreamAnalytix in a bid to efficiently manage, analyze, and draw actionable real-time insight from its continuously growing and complex customer and operational data.


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6 Myths of Moving from Traditional to Modern BI

September 10, 2018

In this e-book, we’ll explore common myths and misconceptions about moving from traditional to modern BI.


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3 Shifts in the Modern Data Environment

September 10, 2018

This paper seeks to outline three major thought shifts concerning the modern data environment that Information Technology leaders need to understand in order to support data-driven decision making within their organizations.


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Governed Self-Service Analytics at Scale

September 10, 2018

Download this white paper to learn the four key steps to successfully deploying governed self-service analytics across your organization.


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Evaluation Guide: How to Choose the Right Modern BI and Analytics Platform

September 10, 2018

This evaluation guide aims to support IT organizations as they evaluate and select a modern BI and analytics platform suitable for a broad, enterprisewide deployment.


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Redefining the Role of IT in a Modern BI World

September 10, 2018

How IT can evolve from producer to enabler and foster collaboration around analytics.


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