With spring upon us, it's time to dive into "spring cleaning" your data by following these top 5 tips for leveraging the value of your dirty data.
Cindi Howson examines what's ahead for this fast-growing vendor.
If consolidation activity and new product pushes are any indication, data replication is finally getting the respect it deserves.
Startups know that what customers say they want isn’t necessarily what they want. The same principle is critical to the success of your BI project.
What's new and forthcoming from Oracle? Cindi Howson takes us inside Oracle's annual analyst conference.
Yellowfin benefits from a few core design decisions -- or "fortuitous mistakes," as CEO Glen Rabie puts it -- that make it a surprisingly adaptable BI platform.
How can the principles of branding be applied to BI to help multiple groups in large organizations work collaboratively across departmental boundaries?
With SAP Predictive Analysis, the company says it wants to bring predictive analytic capabilities to as many users as possible.
Predictive analytics and big data "make perfect sense together," says analyst Fern Halper, even as some vendors are struggling to catch up with users.
MPP databases have to scale out and scale up. According to analytic database specialist Calpont, they don't. Most focus on MPP to the detriment of SMP.
The increased interest in predictive analytics points to its power and possibilities, says analyst Fern Halper. Vendors are eagerly jumping on board, and open source is becoming increasingly important.
Three recommendations for improving customer intelligence and engagement.
Successful project opportunities share five features so developers can achieve business success.
Modern predictive analytics tools and solutions are no longer restricted to IT specialists. Don’t let these five myths impede your adoption of this powerful technology.
Don't just deliver bad data faster. Improve data in real time.
QlikTech's Donald Farmer discusses how mobile technologies are fundamentally changing BI, sometimes in ways you might not expect.
Knowing how to get started is key to building a successful project -- and obtaining the funding to get the project off the ground.
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.
Why are so many data integration players selling enterprise service buses of their own? Is it just a matter of vendor opportunism?
Data governance is more than just managing data in order to optimize outcomes.