TDWI Checklist Reports
TDWI Checklist Reports provide an overview of success factors for a specific project in business intelligence, data warehousing, or a related data management discipline. Companies may use this overview to get organized before beginning a project or to identify goals and areas of improvement for current projects.
July 27, 2015
To help readers succeed in their cloud
data warehousing projects, this checklist identifies the benefits the
cloud offers, offers potential use cases, and presents key criteria for
using and choosing a cloud solution for data warehousing.
June 29, 2015
Our objective in this Checklist Report is to share best practices that will position the reader to take advantage of a cloud-based data warehousing solution.
May 15, 2015
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.
March 20, 2015
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.
January 21, 2015
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.
January 12, 2015
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.
December 22, 2014
This Checklist Report defines broad and unlimited data exploration best practices, with an emphasis on the roles of SQL and Hadoop.
November 7, 2014
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.
September 29, 2014
This Checklist Report explores the leading business reasons for modernizing a data warehouse, plus the common technical measures taken today for data warehouse modernization.