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.
June 22, 2016
Most definitions of operational excellence assume that localized improvements have a global impact. In that spirit, this TDWI Checklist Report provides recommendations for incrementally and continuously improving the quality of operational data, which in turn contributes to an organization’s drive toward operational excellence.
June 1, 2016
This TDWI Checklist Report provides seven steps your organization can follow to apply a balanced governance strategy as you expand your use of self-service visual analytics and discovery.
May 31, 2016
This Checklist Report focuses on helping organizations understand and employ the necessary best practices for implementing the latest in visual analytics and discovery tools.
April 13, 2016
This Checklist explores eight ways to increase data agility with end-to-end data management tools.
December 18, 2015
This Checklist discusses seven best practices for implementing data warehouse automation within an agile development framework.
December 9, 2015
This Checklist discusses seven key considerations to help organizations focus their evaluation and develop a strategy for gaining value from open source technologies to support faster, more powerful, and more flexible analytics.
December 2, 2015
This TDWI Checklist Report drills into seven recommendations and discusses many of the new vendor product types, their functionality, and user best practices that can contribute to data integration modernization. It also presents the business case and technology strengths of each recommendation.
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.