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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?
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.
New version supports in-memory appliances for analyzing big data.
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?
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