When it comes to data mining, there are big advantages of XBRL search over traditional document search.

For example, try to search “Goodwill Impairment” on Microsoft’s 2012 annual financial statements (Click here: 10-K) in HTML.

With document search, you could be lost because “Goodwill Impairment” is scattered around in this 1.8 MB document (95 pages).

With XBRL search, you would see instantly how the matching results are organized by XBRL concepts:

us-gaap:IncomeTaxDisclosureTextBlock
us-gaap:FairValueOfFinancialInstrumentsPolicy
us-gaap:ScheduleOfEffectiveIncomeTaxRateReconciliationTableTextBlock
us-gaap:DescriptionOfNewAccountingPronouncementsNotYetAdopted
us-gaap:GoodwillAndIntangibleAssetsGoodwillPolicy
us-gaap:QuarterlyFinancialInformationTextBlock
us-gaap:GoodwillDisclosureTextBlock
us-gaap:SignificantAccountingPoliciesTextBlock
us-gaap:UseOfEstimates
us-gaap:ScheduleOfQuarterlyFinancialInformationTableTextBlock

Now you have better idea where to look for your data.

Exporting is easier too. Check this Excel file (.xls, 17 KB): Microsoft Goodwill Impairment

For members, please go to “Text Search -> Advanced”, then copy the following:

DATA:”goodwill impairment”~10
AND FORM:10-K
AND SYMBOL:msft
AND REPORT_FISCAL_YEAR:2012

Please check back next Friday morning for more on data mining.

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