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.

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.

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 ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

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 ...

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 ...