Panorama Business Intelligence

Business intelligence has been the top priority for most CIOs for the last five years. Their customers, the business users, always want to get more and more information at their fingertips in order to support them in their decision-making processes. As the amount of information grows exponentially, and as the business landscape changes at a faster pace, business users are eager for more and more aggregated, filtered, focused information to help them run the business.

What an ideal situation for the CIO — customers who want more and more. But the fact of life is that the demand for more analytics places CIOs in a tough spot.

Traditionally, in order to provide fast responses to almost random questions coming from various users, the CIO had to set up a data warehouse (or at least a data mart), define the parameters that are relevant to the business users, define the metrics they wish to measure, and create a “Cube” — a multidimensional data warehouse with enough pre-aggregations that can provide complex responses at lightning speed. The process just described requires professional skills, server capacity and processes. So as more and more users queued up to get their analytics done, CIOs found it hard to deliver so many solutions concurrently.

Read the full article at CIOZone: Reconciling In-Memory and Server-Based Analytics