24 Jun '11, 12pm

3 Tips for Avoiding the Perils of Dirty, Messy Data

3 Tips for Avoiding the Perils of Dirty, Messy Data

1. Messy data, which is not sanitized, consistent or "organized appropriately into hierarchies that can be used either by humans or computers," she said. 2.Too much data. Though plentiful, the sheer amount of data obscures its significance and the insights needed to make good decisions. 3. Non-intuitive data, which is not understood by non-expert stakeholders or requires significant effort to parse out. This can be a big problem with public infrastructure projects, which require political and community support in order to get underway. 4. Static data, which results in decision-making based on information that can be days or months old. In management of buildings and entire real estate portfolios, this problem can lead to mounting costs and wasted energy and other resources. 5. Absent data. This can be data that is simply not available or too expensive to collect.

Full article: http://www.greenbiz.com/news/2011/06/24/3-tips-avoiding-p...

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