Business intelligence in small and midsize enterprise shops is an anecdotally tough nut to crack. A new report claims to offer up a nutcracker of sorts.
Company says the OLAP status quo has got to go.
Streamline BI admin costs to save money, but don’t forget to keep the pressure on your software vendors, too.
This pair of modern techniques will help you succeed in your enterprise data quality initiative.
A pair of recent announcements offers fresh -- and refreshing -- insight into the new Vertica four months after its acquisition by HP.
Predixion proposes to take data mining -- long the province of statisticians and complex predictive models -- and make it pervasive.
What's it take to be a Microsoft-centric BI player? It may be a matter of picking up where Redmond leaves off.
It's time to consider data warehousing in the clouds as a viable option.
When you recruit business analysts, what traits should you look for?
We explore three aspects of agile that form a synergy that doubles a team's development velocity.
DI storefronts provide a context in which ISVs, partners, or developers can list assets or solutions. They should be of some help to customers, too.
Agile data modeling calls for a new set of practices that enable the safe evolution of models, even those in production.
Data governance survey shows what works, what doesn't.
Optimizing data integration is key to successful business intelligence.
BI is both sexy and mainstream: last year, spending on BI increased at a double-digit rate, easily outpacing spending in other IT areas.
Studies have consistently highlighted the persistence of hand-coded DI. Why won't homegrown DI go away?
Even if users are getting poor results out of their existing business intelligence (BI) tool, why might they prefer to stay put, and how does the next wave of BI interfaces propose to change things?
Unstructured data holds essential business insights. How can you get to that insight?
Data integration needs are shifting, but vendors, many content with their market share and revenues, simply aren't keeping up with the needs imposed by new data types.