TDWI Best Practices Reports
TDWI’s Best Practices Reports are designed to educate technical and business professionals about new business intelligence technologies, concepts, or approaches that address a significant problem or issue. Research for the Best Practices Reports is conducted via interviews with industry experts and leading-edge user companies, and is supplemented by a survey of business intelligence professionals.
September 25, 2019
This TDWI Best Practices Report examines how organizations using AI are making it work. It looks at how those exploring the technology are planning to implement it. Finally, it offers recommendations and best practices for successfully implementing AI in organizations.
May 24, 2019
This report explains in detail what cloud data management (CDM) is and does so data professionals and their business counterparts can understand what CDM can do for them and how they might organize a successful program.
December 21, 2018
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.
September 28, 2018
To capture distributed enterprise data, big data, and other new data assets—plus leverage them fully for business advantage—user organizations are expanding and integrating their portfolios of data platforms and tools to create what TDWI calls multiplatform data architectures (MDAs). Download this report to learn what MDAs are and do.
May 29, 2018
TDWI research indicates that it is in the early mainstream stage of adoption. Yet, even as organizations continue to adopt predictive analytics, many are struggling to make it stick. The purpose of this report is to explore concrete best practices for building and deploying predictive models in organizations.
December 22, 2017
This TDWI Best Practices Report examines how organizations become data-driven, including patterns for building out infrastructure for managing data and driving analytics. It also examines the best practices of those organizations that are data-driven across three areas we believe are important: technology, analytics, and organization.
September 28, 2017
This TDWI Best Practices Report explores the new opportunities for AI, machine learning, and natural language processing presented by innovations in computing power and algorithmic efficiency.
June 29, 2017
This TDWI Best Practices Report focuses on current experiences with realizing value from BI and analytics and how organizations can accelerate the path to higher value.
March 29, 2017
One of the more popular subjects in data modernization today is the addition of data lakes to many different ecosystems. This report defines data lake types and discusses emerging best practices, enabling technologies, and real-world use cases.