This TDWI Pulse Report focuses on operationalizing analytics models in order to help organizations take action and gain value.
This report drills into four critical success factors for the modernization of the data warehouse.
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.
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.
This first in a new series of reports offers focused research and analysis of trending analytics, business intelligence, and
data management issues facing organizations. TDWI Pulse Reports are designed to educate technical and business professionals and aid them in developing strategies for improvement.
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