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 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.
July 15, 2014
Big data analytics is about applying advanced methods and technologies to derive insights from very large and diverse data sets that often include varied data types and streaming data. This TDWI Checklist Report discusses steps for realizing value from big data and analytics for better customer intelligence.