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.
June 7, 2019
Today, businesses of all sizes can connect to and analyze data (even big data) to educate each other and drive better business decisions.
Sponsored By Tableau Software
June 7, 2019
Every day millions of finance professionals extract data from different platforms and reporting systems into spreadsheets to ask and answer thousands of questions. The primary hardship with this ingrained manual routine is, of course, time.
Sponsored By Tableau Software
June 7, 2019
While Excel comes equipped with many features that help you get started with data, Tableau takes your analysis to the next level with flexible and responsive analytics.
Sponsored By Tableau Software
June 7, 2019
Despite years of vetting and advances in media measurement, analytics, models and attribution, Forbes research—with over 800 CMOs and 50 subject matter experts—revealed that most CMOs still struggle to quantify and communicate the value marketing creates to their leadership, peers and partners.
Sponsored By Tableau Software
May 8, 2019
In the Harvard Business Review webinar summary, Dr. Tom Redman explains that to derive the maximum benefit from data assets, employees throughout the organization must build data skills.
Sponsored By Qlik
May 7, 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.
Sponsored By SAS
May 1, 2019
For quite some time, AI has had an allure for improving processes, raising productivity and making both top- and bottom-line impacts on organizations. Advances in data and analytics have enabled early adopters of AI globally across industries to grow beyond experiments and quick hits and provide examples for paths to success with AI.
Sponsored By SAS