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.
January 14, 2019
In this checklist, we will examine best practices for data management that support ongoing compliance with a variety of regulations.
January 3, 2019
This checklist focuses on how IoT data and analytics can be used to help drive the customer experience.
January 3, 2019
Any organization can become data-centric by taking advantage of some of the emerging trends discussed in this checklist. This report reviews some of the practices adopted by data-centric organizations and suggests ways to learn from their experiences.
December 20, 2018
This TDWI Checklist report drills down into the adjustments and optimizations in data quality practices required for big data.
December 14, 2018
This TDWI Checklist focuses on how organizations can develop strategies for improving operational intelligence, particularly by realizing value from IoT data.
December 14, 2018
This TDWI Checklist Report discusses three broad areas of best practices for helping to make machine learning, and those involved with it, successful.
December 10, 2018
In this checklist, we explore the concept of hybrid transaction/analytical processing (HTAP), an alternative architecture that enables analytics to be performed in concert with transaction processing. We will present best practices for taking advantage of this alternative architecture to enable real-time analytics.
December 7, 2018
In addition to automation using AI, next-generation data catalogs often contain new features such as crowdsourcing and collaboration. This TDWI Checklist describes five ways modern data catalogs drive business value.
October 31, 2018
Existing enterprise infrastructures are engineered in a way that complicates some types of data provisioning. In this checklist, we will consider the benefits of a platform-based approach to DataOps that addresses some of these complexities.