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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.


Tableau white paper cover image

The Do's and Don'ts of Marketing Analytics Dashboards

October 11, 2019

An overabundance of consumer and audience touchpoints means more information to collect and consume. But it’s worthless when not analyzed properly. That’s where marketing analytics dashboards come in.


white paper cover

3 Shifts in the Modern Data Environment

October 7, 2019

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.


Syncsort white paper

Real-Time Legacy Data Use Cases

October 1, 2019

Download this white paper to explore four real-time legacy data use cases.


Syncsort white paper

Best Practices for Data Integration in Hybrid Cloud

October 1, 2019

Download this e-book to learn more about data integration challenges and three best practices for data integration in hybrid cloud.


Oracle eBook

What Is Augmented Analytics? Powering Your Data with AI

September 30, 2019

In this report, we precisely define what augmented analytics is, explain best practices for deploying augmented analytics, and show how you can use augmented analytics practically within real-world case studies.


TIBCO Data Virtualization: A Security Layer for Analytics

September 27, 2019

This white paper provides information about how data virtualization can be used as a security layer for analytics.


Enterprise Dimension and Hierarchy Management for BI and Big Data

September 27, 2019

When it comes to understanding the rationale behind managing enterprise dimensions, attributes, and hierarchies, many people are at a loss. This is a problem because neglecting the management of enterprise dimensions, attributes, and hierarchies will result in erroneous analysis.


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