This article suggests a new approach to analyzing enterprise systems using the "small-world" property of complex systems. Based on recent research, this property is found in a diversity of situations and leads to several surprising conclusions and tactics for managing complex systems. Part 2 of this article will outline a methodology, called Associative Link Analysis, which exploits this approach within the enterprise data warehousing environment.

Business intelligence (BI) professionals, particularly those of us involved with data warehousing (DW), are missing a huge opportunity for exploiting enterprise data. We have selected and projected our data, aggregated and pivoted, and correlated and mined. However, we have not "linked" and "hubbed" our data.

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