With so much written about cloud and BI in the last year, it would seem the intersection of these two hot IT trends must be a winner -- but is it?
Vendors appear to be making an effort to address concerns about how they price their data integration tools. Will their efforts result in meaningful savings?
What's behind the increasing popularity of data mining, and what is its relationship to predictive analytics?
Facebook's IPO has drawn attention to the importance of social media data.
There's plenty of competition in the fractious data integration market.
Semantics helps bring data management down to the user level.
Open source business intelligence player Pentaho has had a lot to crow about.
A new report from TDWI helps users understand the basics of Hadoop and MapReduce.
IBM asks the not-so-obvious question: If you already have a mainframe in-house, why not make it the centerpiece of your business intelligence and data warehouse efforts?
BI teams need to focus on what business users want most.
Sophisticated e-mail archiving solutions can generate business intelligence from stored e-mail messages.
Phasic Systems touts a combination of software, services, and even naysaying as an effective solution for effective enterprisewide governance.
HP's Chris Carney explains how a business intelligence competency center can help align BI efforts and needs across the enterprise, bringing real business value.
Big data offers BI professionals new ways of making information work for the business.
A new report from The Data Warehousing Institute discusses the how and the why of mobile BI.
The traditional BI stack has failed. What's next?
The beauty of the BI mashup is that it makes it easy to expose any kind of information -- including data you wouldn't typically want to bring into a data warehouse.
What are the common misperceptions about unstructured data are explored, and how can this data be exploited for game-changing insights?
There’s no doubt that customers will continue their migration from in-house BI to BI in the cloud. We explore best practices for cloud BI and the limitations this technology imposes.
Success with enterprise business goals demands strategies for enterprise data.