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I do think the void between "Closed World" and "Open World" technologies played a vital part re. the inability to "connect the dots" by all key players (government officials and executives).
Standard BI doesn't solve the problem, neither do the plethora of conventional "Closed World" MDM (Master Data Management) or EII (Enterprise Information Mangement) Tools. The reason for my assertion is simply this: traditional "Closed World" enterprise applications aren't capable of transperently exploiting "Open World" data sources (relevant data outside the enterprise e.g., on the Web).
Sadly, as the Semantic Web vision continues to appear to most, as a technology solution looking for a problem; we continue to incur the opportunity costs of not being able to "connect the dots" across "Closed World" and "Open World" realms.
24 months ago their was more than enough chatter in financial blog spaces about the impending problems associated with sub-prime loans, mortgage backed securties, and credit default swaps etc.. Unfortunately taking the chatter and translating that vital information into actionable data (i.e asset and portfolio reevaluations) across existing systems was, and is, a challenge that requires a different approach to data access, integration, and management.
Like all things, a combination of technology and people could have alleviated the problem
Links:
1. http://en.wikipedia.org/wiki/Closed_World_Assumption
2. http://en.wikipedia.org/wiki/Open_world_assumption
Kingsley Idehen