Engineered system for in-memory decision support, online analytical processing, forecasting, and planning.
IBM asks the not-so-obvious question: If you already have a mainframe in-house, why not make it the centerpiece of your business intelligence and data warehouse efforts?
There’s no doubt that customers will continue their migration from in-house BI to BI in the cloud. We explore best practices for cloud BI and the limitations this technology imposes.
Composite Software VP Robert Eve has co-written a new book on data virtualization. In this interview, he describes going beyond traditional data virtualization and discusses some of the lessons from the book's 10 high-profile case studies.
The role of data analyst has struggled for clarity on standards this year as the importance of analytics advances.
How your BI team can communicate your focus on delivering solutions rather than the use of tools and technology.
The enterprise data model (EDM) has failed. We explore a new way of using EDMs -- one in which an EDM can more directly affect the management of data than as merely a paper reference model.
Unified information access platform with full SQL and ODBC connectivity seamlessly adds context from unstructured content to big data, business intelligence, and analytics.
IBM helps users gain actionable insight on big data.
The lack of well-qualified business analysts dampens the value of data. A Stanford University professor has found keys to help.