QlikTech's Donald Farmer discusses how mobile technologies are fundamentally changing BI, sometimes in ways you might not expect.
Why are so many data integration players selling enterprise service buses of their own? Is it just a matter of vendor opportunism?
The search for BI insight already has a game-like feel to it. Advocates of "gamification" want to amplify this effect and immerse BI users in their task.
Data governance is more than just managing data in order to optimize outcomes.
This three-step approach will help you establish or reenergize your DI development projects.
There are many traps to rolling out an enterprise-wide BI project. We show you how to avoid those problems.
How are BI maturity assessments implemented and how can their value be marginalized? We explore the impact and scope of such assessments and what to expect from the process.
Technology changes are helping us analyze growing data volumes. Our data warehousing architecture must remain flexible, and frequent validation of user requirements and data usage will help us achieve this goal.
What new technologies are affecting BI professionals, and how can we be prepared for these changes and the innovations they bring?
Host Analytics says its cloud pedigree gives it advantages relative to its on-premises competitors in corporate performance management.
Predixion's goal was to develop a solution that makes data mining and predictive analytics consumable and usable by rank-and-file workers. Has it succeeded?
Which key BI trends matter most? Cindi Howson explains the top seven innovations she and co-presenter Dave Stodder will discuss at the Cool BI Forum in Chicago in May.
How do organizations effectively handle the inevitable challenges in human dynamics to ensure project success?
Three catalysts that are changing BI and data warehousing.
A decade ago, using spreadsheets to manage ETL source mappings might've made sense. Today, an upstart BI vendor claims, it isn't just inelegant -- it's anachronistic.
Microsoft bids "adios" to OLE-DB.
Thanks to a combination of social, mobility, cloud, Big Data, and other forces, business intelligence and data warehousing are on the cusp of profound transformations. The question is: which way are these technologies headed?
Huge data sets can reveal hidden patterns, analyst explains.
A long-time tech observer delves into why some companies succeed and others fail.
Line-of-business analysts are advancing on IT's old territory. Five thoughts on what it means for both parties.