Big data isn’t just about growing data volumes or integrating new data sources. Human beings need to interpret the results of big data and build trust in the data. We look at how big data begins and ends with people.
An emerging trend -- "on-demand" ETL -- augurs a big shift in the way analysis and BI are performed and results disseminated.
- By Stephen Swoyer
- April 2, 2013
The visual representation of business intelligence is making BI more accessible to a broader audience, says industry analyst Lyndsay Wise, who discusses where data visualization is headed and how to get the best value from it.
- By Linda L. Briggs
- April 2, 2013
Is ROI for BI projects practical or even do-able? Is there a science to calculating ROI, or should we just use gut feel? Consultant, author, and speaker William McKnight explains what you need to know about BI ROI.
Hadoop promises to assist with the toughest challenges in BI today, including big data, advanced analytics, and multi-structured data. Download this TDWI Best Practices Report to learn how to integrate Hadoop into your business intelligence, analytics, data integration, and data warehousing technology stacks.
- By Philip Russom, Ph.D.
- April 1, 2013
User acceptance and aggressive adoption of open source solutions indicate preparations under way to meet the growing demands of big data and advanced analytics
Finding the skills to support big data on the mainframe is tough and getting tougher. What organizations need to do to address the big data skills shortage.