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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.


SAS white paper

MIT SMR: Data, Analytics & AI: How Trust Delivers Value

January 1, 2019

The annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights.


SAS white paper

CIO Perspective: Tech Views from Top IT Leaders

January 1, 2019

In this e-book, you’ll meet fellow CIOs and technology innovators, and you’ll see how organizations of all sizes encounter many of the same daily challenges.


white paper cover

DataOps: Industrializing Data and Analytics

January 1, 2019

For large organizations with big development teams, DataOps is an antidote to many of the woes that beset IT and development organizations


SAS white paper

The Secret of IT Success? Enabling Choice and Control

January 1, 2019

In today’s crowded analytics marketplace, who can you trust? What’s needed to deliver on the promise of transforming data into real value?


Best Practices Report

Best Practices Report | BI and Analytics in the Age of AI and Big Data

January 1, 2019

This TDWI Best Practices Report focuses on the emerging world of BI and analytics in the age of AI and big data. The research explores organizations’ satisfaction with current technologies and the issues driving interest in newer solutions that enable organizations to exploit advances in AI and big data.


Tableau whitepaper cover image

7 Ways Finance Teams Are Driving ROI with Tableau

January 1, 2019

Here are seven ways leading Finance departments are driving return on investment with Tableau.


Syncsort White Paper

How to Build a Modern Data Architecture with Legacy Data

January 1, 2019

Explore these four steps to learn how to build a modern data architecture with legacy data today.


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