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.
June 29, 2018
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.
March 29, 2018
Businesses can only seize new data-driven opportunities if they recognize sensitive data and handle it responsibly. This report focuses on how targeted improvements to specific data management best practices and technology can contribute significantly to your success with GDPR compliance, as well as data governance and data-driven programs in general.
March 6, 2018
This TDWI Checklist Report provides seven steps your organization can follow to apply a balanced governance strategy as you expand your use of self-service visual analytics and discovery.
This Checklist Report focuses on helping organizations understand and employ the necessary best practices for implementing the latest in visual analytics and discovery tools.
This Checklist explores eight ways to increase data agility with end-to-end data management tools.
No matter the vintage or sophistication of your organization’s data warehouse (DW), it probably needs to be modernized. Download this report for a presentation of the many issues and categories of DW modernization, plus the strategies, methods, and enabling technologies that lead to success.
The gender gap in wages saw a dramatic narrowing in 2015, as women’s average salary rose by 1 percent and men’s dropped by 4 percent. Read more in the 2016 TDWI Salary, Roles, and Responsibilities Report.
Download this report for recommendations and best practices for successfully operationalizing analytics in your organization to derive business value.
This Checklist discusses seven best practices for implementing data warehouse automation within an agile development framework.
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