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.
Three recommendations for improving customer intelligence and engagement.
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.
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.
Knowing how to get started is key to building a successful project -- and obtaining the funding to get the project off the ground.
QlikTech's Donald Farmer discusses how mobile technologies are fundamentally changing BI, sometimes in ways you might not expect.
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.
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.
This three-step approach will help you establish or reenergize your DI development projects.
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?