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 ...

Unlike the name implies, the cube represents data across some measure of interest. Even if it is called a “cube”, it can have 2 dimensions, 3 dimensions, or even higher dimensions. With an OLAP cube, ...

Unlike the name implies, the cube represents data across some measure of interest. Even if it is called a “cube”, it can have 2 dimensions, 3 dimensions, or even higher dimensions. With an OLAP cube, ...

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’ ...

The Challenges of Gaining Useful Insight into Data Most business users are already conditioned to explore data inside the context of an online analytics processing (OLAP) construct that presents them ...

The popularity of Microsoft Excel has never waned. Today, a whopping 1.1 billion users globally rely on it for multidimensional analysis in areas such as "scenario planning, supply chain optimization, ...

Excerpt from Microsoft SQL Server 2008 Analysis Services Unleashed by Irina Gorbach, Alexander Berger, Edward Melomed Chapter 1: Introduction to OLAP and Its Role in Business Intelligence Excerpt from ...

In the fog of the Big Data era, OLAP (On-line Analytical Processing) gets little mention from the press or the industry analysts. The reality is, OLAP is quite vital today for a simple reason: most ...

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 ...