Datasets provide timely information that can transform big data into actionable information.
What's the difference between the insight and impact of big data? Facebook's director of analytics, Ken Rudin, explains how the company uses big data, the benefits it offers, and how "real time" data needs to be.
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.
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
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
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.
User acceptance and aggressive adoption of open source solutions indicate preparations under way to meet the growing demands of big data and advanced analytics
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