When it comes to data analysis, companies often have a long project list with each project having it's own set of specific needs - the net result is a lengthy and growing project backlog. Since the late 1980s, business intelligence (BI) vendors have been attempting to address this backlog through various "ease of use" enhancements. We've seen big improvements with the latest generation of cloud-based BI solutions. But how can companies evaluate which analysis projects will work well with a cloud-based solution?
Posted September 10, 2014
"Big data" and analytics have become the rage within the executive suite. The promise is immense - harness all the available information within the enterprise, regardless of data model or source, and mine it for insights that can't be seen any other way. In short, senior managers become more effective at business planning, spotting emerging trends and opportunities and anticipating crises because they have the means to see both the metaphorical trees and the forest at the same time. However, big data technologies don't come without a cost.
Posted January 11, 2012