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.
November 4, 2015
To help the reader understand the ongoing evolution of data management—in response to new requirements around big data and analytics—this report provides a checklist of data management practice areas that are most affected. In addition, the report relates new practices to existing ones, indicating when to use which one.
November 2, 2015
This Checklist Report discusses what your enterprise should consider before diving into a data lake project, no matter if it’s your first or second or even third major data lake project. Presumably, adherence to these principles will become second nature to the data lake team and they will even improve upon them at some point.
October 9, 2015
This Checklist offers seven best practices for formulating a strategy to derive and deliver actionable customer intelligence. The practices are aimed at helping organizations turn their increasingly voluminous data riches into competitive business advantage.
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.