How can you measure the success of your enterprise data warehouse initiative? Ralph Hughes has devised a concise set of seven factors to evaluate.
- By James E. Powell
- January 13, 2015
What is data wrangling and why does it matter? Think of it as data preparation taken to the next level. To learn more, we turned to data-wrangling upstart Trifacta.
- By Stephen Swoyer
- January 13, 2015
Although voters and consumers may often act the same, the analytics used to examine their behavior is vastly different.
Unlike more traditional systems development, BI projects are driven by data. This requires a distinctly different approach to requirements gathering, as TDWI faculty member Jonathan Geiger explains in this two-part interview.
- By Linda L. Briggs
- January 13, 2015
BI vendors sometimes overlook mid-market firms in favor of large enterprises, though smaller organizations wrestle with many of the same issues.
- By Linda L. Briggs
- January 6, 2015
Take these three steps to achieve mature enterprise-strength Hadoop.
Data science is an exciting area that promises real benefits to organizations in nearly all industries. It should not be stuck in a frustrating pursuit of imaginary heroes of folklore.
- By David Stodder
- January 6, 2015