Silicon Valley startup Kyvos Insights today emerged from stealth mode, trumpeting a new way for ordinary business users to conduct Big Data analytics. Adding a slight twist to the dozens of similar ...

Before the era of big data, there was the era of business intelligence (BI). It was based on many of the same tenets, but focused more on formal data models and analysis of data at a summarized level.

Recent advances in OLAP query recommendations and user interaction are transforming the way data is explored and analysed. Traditional OLAP systems, long reliant on standard roll-up and drill-down ...

Most business users are already conditioned to explore data inside the context of an online analytics processing (OLAP) construct that presents them with a cube through which they can explore data.

Business intelligence is essentially a set of best practices for building models to answer business questions. However, today’s BI best practices may be suboptimal for many enterprises’ ...

MITS, a provider of online analytical processing business intelligence and operational reporting solutions, has announced the availability of two completely new OLAP cubes for its Discover analytics ...

I have a .NET application (in C#) that does some stuff and in particular loads data into a SQL Server 2005 database (into tables).<BR><BR>I'd like to automate the building of an OLAP cube based on ...

And, says Rodwick, Oracle BI has always been strong in terms of performance and scalability, with much in the architecture "to squeeze the most performance out of various databases," such as Oracle, ...

When we try to extract information from a stack of data, we need tools to help us find what’s relevant and what’s important and to explore different scenarios. A report, whether printed on paper or ...