TDWI Data Points/Pulse Reports
January 15, 2021
TDWI feels confident that data warehouse professionals can rise to the challenge of accelerating data warehouse development as long as they have the right tools and the right skills.
November 17, 2020
This TDWI Pulse Report discusses how organizations can leverage the flexibility and scalable and elastic processing power of the cloud to solve business problems and grow revenue through new, data-rich products and services.
September 21, 2020
This TDWI Pulse Report examines how data and analytics professionals would like to see the analyst role change as well as how to measure analytics value.
May 5, 2020
This TDWI Pulse Report examines the rise of “citizen data professionals” and recommendations for supporting them.
December 20, 2019
This TDWI Pulse Report examines five areas that organizations need to address to ensure business value and ROI as they increase the role of the cloud in data life cycles.
December 13, 2019
This TDWI Pulse Report examines the move to open source, the benefits of both open source and commercial products, and how to strike a balance between the two.
September 30, 2019
This TDWI Pulse Report focuses on operationalizing analytics models in order to help organizations take action and gain value.
August 30, 2019
This report drills into four critical success factors for the modernization of the data warehouse.
June 14, 2019
This TDWI Pulse Report discusses how some of these newer technologies—machine learning (ML), natural language processing (NLP), the Internet of Things (IoT), and blockchain—have the potential to help organizations innovate and digitally transform. It discusses the trends and highlights activities and uses. It also includes best practices for getting started.
June 29, 2018
This TDWI Pulse Report discusses some best practices for developing an IoT data strategy. It examines the organizational as well as the data and analytics aspects of such a strategy. This includes organizational alignment, understanding the unique nature of IoT, and other issues at play when managing and analyzing this “new” kind of data.