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 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.
August 18, 2014
Data blending isn’t simply a matter of throwing data together; issues like data quality still need to be addressed. This Checklist Report
focuses on helping organizations understand the steps and features that are part of data blending.
August 14, 2014
This Checklist Report focuses on helping organizations demystify several cloud BI issues. It examines the models emerging as
companies adopt the cloud.
August 7, 2014
This TDWI Checklist Report will help your organization prepare for in-memory computing by discussing how it improves application performance. In-memory computing enables the peaceful coexistence of transaction processing and analytics without demanding data extraction, transformations, rampant replication, and heterogeneous computing platforms.
August 1, 2014
This TDWI Checklist Report details six areas where small and midsize businesses (SMBs) should focus as they move beyond spreadsheets to improve capabilities for gaining data insights.