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.
May 28, 2010
The guidelines listed in this TDWI Checklist Report can help you achieve more modern, high-value, diverse, independent, well-designed, far-reaching, green, collaborative, and well-governed uses of data integration tools and techniques.
May 14, 2010
This TDWI Checklist Report provides recommendations for improving the quality of operational data, which in turn contributes to an organization’s drive toward operational excellence.
November 1, 2009
Data federation is an important tool in today’s data integration portfolio. Data and application architects use the middleware to query and join data from multiple sources on the fly and deliver the results to data-hungry decision makers. It makes a lot of sense to use data federation tools when it takes too long or costs too much to create a persistent store of consolidated data, such as a data warehouse or data mart.
October 1, 2009
There is no question that IBM System z mainframes continue to serve a wide range of organizations by providing a secure, high-performance, and scalable computing platform that’s hard to match on other systems. The issue comes when you attempt to extend mainframe data or applications to participate in new business applications on so-called open systems (servers running Linux, UNIX, or Windows) and Web environments (whether Internet, intranet, or extranet).
October 1, 2009
Download this TDWI Checklist Report to learn more about enterprise data management (EDM), a best practice for unifying diverse data management disciplines.
September 1, 2009
According to a survey from TDWI Research, 38% of organizations surveyed are practicing advanced analytics today, whereas 85% say they’ll be practicing it within three years. These organizations will face challenges as they move into advanced analytics. Many don’t understand that reporting and analytics are different practices, often with different data requirements. Most of these organizations are experienced in data integration, data quality, data modeling, and so on; yet, they don’t know how to adjust these data management practices to fit the needs of advanced analytics.
July 1, 2009
This TDWI Checklist Report outlines several techniques that can help your organization successfully implement self-service BI.
May 1, 2009
The amount of operational and transactional data being integrated and synchronized across enterprise applications continues to grow. As a consequence, tools and techniques for data synchronization are used today at an unprecedented level. The practice of data synchronization—or simply "data sync"—is driven up by leading trends in data-driven business activities.