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.
March 31, 2020
This TDWI Checklist Report drills into the many issues, design patterns, and best practices of data architectures with a focus on modernizing data lake architectures.
March 20, 2020
This checklist report explores sources of complexity and suggests steps for simplifying the management of a hybrid cloud data warehouse.
March 18, 2020
As this TDWI Checklist discusses, modernization involves using the powers of self-service capabilities, data architecture resources (such as metadata), and enterprise reporting platforms to improve overall user productivity, efficiency, and satisfaction.
February 28, 2020
This TDWI Checklist Report discusses key best practices for getting started with AI/ML and making it work across your enterprise.
February 26, 2020
This TDWI Checklist Report will drill into the kinds of data strategies that raise the business value of analytics, from reporting to machine learning.
December 20, 2019
This checklist explores ideas for determining where traditional approaches to data integration are impeding modern analytics and will guide the reader in ways to modernize.
December 13, 2019
This TDWI Checklist report drills into the business and technical requirements for preparing data for machine learning and related practices in artificial intelligence and predictive analytics.
October 30, 2019
This TDWI Checklist Report examines best practices for the modern data warehouse and the modern analytics stack.
October 30, 2019
This TDWI Checklist Report drills into the business and technical requirements of the modern DW.