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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’ ...

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’ ...

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 ...

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 ...

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 ...

In order to fully understand the benefits of OLAP and the details of its effective implementation, it helps to examine the technology from two perspectives: (1) from that of the users and (2) from ...

The shift from on-premise environments to the cloud is happening at a tremendous pace. However, once enterprises move their data to the cloud and make it available to their business users, they face ...

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 ...

Why Do We Need Olap Cube? For OLAP cubes to be truly effective, they must be able to deal with millions of records at the same time. OLAP cube queries can be done with plain English, in fact. Data ...