TDWI White Paper Library
TDWI maintains this library of white papers as a resource for in-depth research and commentary about the big data, business intelligence, data warehousing, and analytics industry. The content in this repository is crafted by TDWI's software and consulting partners. To find out how your company can promote its content in this library, click here.
January 1, 2016
Download this white paper for insightful research demonstrating how businesses with the most effective BI programs tend to have a significantly higher degree of distributed, self-service elements.
Sponsored by Qlik®
January 1, 2016
It’s hard to deny that big data is changing the world as we know it. Download this white paper for a discussion of the most useful aspects of big data.
Sponsored by Cloudera
January 1, 2016
Download this e-book to learn how you can take advantage of external data to contextualize your analysis.
Sponsored by Qlik®
January 1, 2016
Download this white paper to learn how OpenText Analytics and Reporting technology allows healthcare organizations to pull large amounts of information from multiple sources for comprehensive and predictive analysis, while ensuring the quality, security, and availability of data for better decision making and optimal patient care.
Sponsored by OpenText
January 1, 2016
In 2015, dashboards, end-user self-service, advanced visualization, and data warehousing lead the list of technologies and initiatives strategic to business intelligence (fig. 10). As in our 2014 study, the data show ongoing focus on fundamental and traditional BI functionality. Operational integration and data discovery also represent fundamental BI focus; only after these do “newer” initiatives including data mining, embedded BI, mobile device support, and in-memory analysis begin to emerge. Complex event processing, Internet of Things, and cognitive BI are the lowest ranked priorities in 2015.
Sponsored by OpenText
January 1, 2016
This white paper focuses on how to avoid the top five most common mistakes enterprises make when approaching big data integration initiatives. Understanding and fixing these mistakes will kick-start your big data integration project.
Sponsored by Oracle
January 1, 2016
As traditional BI functionality (e.g., reporting and OLAP) becomes commoditized, buyers need to look for other differentiation, such as in the area of big data capabilities. BI on Hadoop; predictive, streaming, and text analytics; data exploration; and other features related to big data are now key strategic enterprise BI platform selection criteria.
Sponsored by OpenText