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.

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 ...

Using data driven insights to improve the decision-making process has been one of the biggest trends in the mining industry over the past few years and it will continue to be a strategic priority for ...

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’ ...

Pablo will ship with A La Carte, a solution that will add a host of new rich features to Microsoft Excel and allow users to adopt the widespread product as their standard business intelligence (BI) ...

Business intelligence software has been around for years. Many big-data analytics tools have the goal of providing actionable business insight. But data silos, vast data lakes, and the tricky ...

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 ...

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 ...

Cube, the providers of the leading universal semantic layer platform, is debuting new, expanded integrations with Microsoft Power BI and Microsoft Excel, designed to better meet customers in their ...