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
A lake or cloud can breathe new life into established enterprise data architectures (data warehouses, marketing channel data, digital supply chains) or create new and different ones (analytics labs and sandboxes, ecosystems of cloud-based operational applications). This report discusses the leading data management (DM) best practices you need for data lakes to be successful when deployed in the cloud.
February 21, 2018
To help user organizations prepare, this TDWI Checklist Report canvasses eight of the leading data warehouse modernization scenarios, discussing many of the new product types, functionality, and user best practices (as well as the business case and technology strengths) of each.
To help the reader select data-driven applications (DDAs) and prepare for their use, this Checklist Report drills down into their desirable characteristics, best practices, and use cases.
Average salaries rose 3.5 percent in 2014 for full-time U.S. BI professionals. Read more in the 2015 TDWI Salary, Roles, and Responsibilities Report.
To solve business problems, develop new products and services, and optimize processes, organizations increasingly need analytics insights produced by data science teams with a diverse set of technical skills and business knowledge who are also good communicators. This TDWI Checklist Report describes seven steps to achieve a successful data science strategy.
By reflecting on the trajectory of big data adoption, this TDWI Checklist Report examines how selecting the right components will guide your transition and integration strategy to realize a mature big data platform that can be integrated within a production information technology environment.
This Checklist Report defines broad and unlimited data exploration best practices, with an emphasis on the roles of SQL and Hadoop.
This checklist provides practical guidelines to nascent data storytellers. It describes some important principles of data and analysis—the supporting characters in a story—as well as some tips for making a story engaging.
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