Why data modeling is important in cloud-based BI.
Why is agile so important to organizations, and how does an organization get to an agile state?
Informatica Marketplace is similar to Salesforce.com's AppExchange (or Apple's App Store) -- but many unique aspects set it clearly apart.
Far from being a complementary or nonessential data management option, third-party data can become a competitive differentiator.
The current debate about social media in the context of BI presages its inevitable acceptance, Lyza officials argue. Five years from now, they claim, social BI will be a reality -- and Lyza 2.0 aptly demonstrates its promise.
A consultant offers BI basics for executives, project managers, and developers.
Thanks to aggressive service enablement and the efforts of DI vendors, another integration paradigm -- call it Integration-as-a-Service -- has emerged.
What does SAP's acquisition of Sybase foretell? IBM strategy in acquiring another prominent 1990s data management leader -- the former Informix Software -- might hold some answers.
A new report breaks the hard problem of data integration down into an easily-digestible checklist of ten DI recommended practices.
We explore the difference “agile” makes in your data warehouse.
What role does BI architecture play in an agile environment?
Microsoft positions Visual Studio for developing business intelligence applications
The what, who, and why behind the move to agile BI.
Vertica says the latest revision of its analytic database is easier to deploy, manage, and scale.
Officials say IBM's new MapReduce-based offering permits customers to tackle Big Data projects that involve petabytes of information.
IT must become more responsive to the needs of business users. If it doesn't, it runs the risk of becoming irrelevant.
High-quality operational data is possible.
Why don't agile development methods when applied to BI always yield success? It comes down to understanding that agile is really about behaviors, attitudes, and values.
A new survey identifies a strong correlation between doing DW and successfully pursuing MDM.
Faster, more iterative BI projects promising, but take effort.