The business reporting supply chain
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XBRL. XBRL. XBRL. The business reporting supply chain. Business Operations. Internal Financial Reporting. External Financial Reporting. Investment, Lending, and Regulation. Processes. Companies. Financial Publishers and Data Aggregators. Investors. Participants. Trading

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The business reporting supply chain

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The business reporting supply chain

XBRL

XBRL

XBRL

The business reporting supply chain

Business

Operations

Internal

Financial

Reporting

External

Financial

Reporting

Investment,

Lending, and

Regulation

Processes

Companies

Financial

Publishers

and Data

Aggregators

Investors

Participants

Trading

Partners

Management

Accountants

Auditors

Regulators

Software Vendors


Content and context

Thousands of companies release financial results quarterly

The contents are not organized. The data must be re-entered into computer applications for interpretation.

What if financial documents included both

Content (75,044,453) and

Context (¥75,044,453=net income for Q1/2001)

Content and Context


Xml markup what does it look like

XML Markup: What Does it Look Like?

Michael M. Miller

8080 Hill Circle

Lincoln, MA 01738

+1 (617) 515-1424

Birthdate: 19 October 58

<name>Michael M. Miller</name>

<address>

<street>8080 Hill Circle</street>

<city>Lincoln</city>

<state>Massachusetts</state>

<country>United States of America</country>

<postcode>01738</postcode>

</address>

<telephone>6175151424</telephone>

<birthdate>19/10/1958</birthdate>

Ordinary information

Metadata:

Information about information


Structured content allows data reuse comparability aggregation

Structured Content allowsData reuse, comparability, aggregation

Regulatory filings

Explantory text

Tax Return

Bank filings

Document

(Data with Metadata)

Accounting system

Website

Other information

sources

Printed

Schemas

(Standard Definitions)

Financials


Structured content allows data reuse comparability aggregation1

Structured Content allowsData reuse, comparability, aggregation

Regulatory filings

Explantory text

Tax Return

Bank filings

XBRL

Instance

Accounting system

Website

Other information

sources

Printed

XBRL

Taxonomies

Financials

Investor

Analytics


Die supply chain f r finanzdaten

Erstellung

Qualität und Prüfung

Verteilung

Konsum

Banken / Ver-sicherungen

Berichtendes Unternehmen

Börsen

Behörden

Medien, Presse undFinanzportale

Wirtschaftsprüfer und Steuerberater

Analysten /Investoren

Source:

XBRL Deutschland

Die Supply-Chain für Finanzdaten


Demo april 2000

Demo – April, 2000


Raw xbrl

Raw XBRL

<gaap:lb.noncur.crd numericContext="rg.cy00.jpy">-310000000.</gaap:lb.noncur.crd>

<gaap:lb.noncur.crd numericContext="rg.cy00.usd">-449000.</gaap:lb.noncur.crd>

<gaap:lb.noncur.crd numericContext="rg.cy01.jpy">-344000000.</gaap:lb.noncur.crd>

<gaap:lb.noncur.crd numericContext="rg.cy01.usd">-499000.</gaap:lb.noncur.crd>

<gaap:lb.provisions numericContext="rg.cy00.jpy">-112000000.</gaap:lb.provisions>

<gaap:lb.provisions numericContext="rg.cy00.usd">-163000.</gaap:lb.provisions>

<gaap:lb.provisions numericContext="rg.cy01.jpy">-212000000.</gaap:lb.provisions>

<gaap:lb.provisions numericContext="rg.cy01.usd">-307000.</gaap:lb.provisions>

<gaap:opc numericContext="rg.cy00.jpy">-3181000000.</gaap:opc>

<gaap:opc numericContext="rg.cy00.usd">-4613000.</gaap:opc>

<gaap:opc numericContext="rg.cy01.jpy">-3583000000.</gaap:opc>

<gaap:opc numericContext="rg.cy01.usd">-5196000.</gaap:opc>

<gaap:opc.acq numericContext="rg.cy00.jpy">0.</gaap:opc.acq>

<gaap:opc.acq numericContext="rg.cy00.usd">0.</gaap:opc.acq>

<gaap:opc.acq numericContext="rg.cy01.jpy">-35000000.</gaap:opc.acq>

<gaap:opc.acq numericContext="rg.cy01.usd">-50000.</gaap:opc.acq>

<gaap:opc.cnt numericContext="rg.cy00.jpy">411000000.</gaap:opc.cnt>

<gaap:opc.cnt numericContext="rg.cy00.usd">595000.</gaap:opc.cnt>

<gaap:opc.cnt numericContext="rg.cy01.jpy">337000000.</gaap:opc.cnt>

<gaap:opc.cnt numericContext="rg.cy01.usd">488000.</gaap:opc.cnt>

<gaap:opf numericContext="ins.cy00.jpy">157000000.</gaap:opf>

<gaap:opf numericContext="ins.cy00.usd">228000.</gaap:opf>

<gaap:opf numericContext="ins.cy00h1.jpy">84000.</gaap:opf>

<gaap:opf numericContext="ins.cy00h2.jpy">73000.</gaap:opf>

Rock Gravel Corporation

Calendar Year 2001

Operating Costs

According to some GAAP

in Yen = 3,583 m


Raw xbrl1

Raw XBRL

<numericContext id="rg.cy00.jpy" cwa="false" precision="4">

<entity>

<identifier scheme=“Ticker">rg</identifier>

</entity>

<period>

<startDate>2000-01-01</startDate>

<endDate>2000-12-31</endDate>

</period>

<unit>

<measure>iso4217:jpy</measure>

</unit>

</numericContext>

Rock Gravel Corporation

Period from 1 Jan 2000 to

31 Dec 2000

In Yen

Precise to 4 digits


The problem

The problem

  • From one producer to one consumer

    • Proprietary, custom data format for specific data is fine.

  • From many producers to one consumer

    • How does consuming party achieve consistency of formats, meanings, and methods of transmission?

  • From one producer to many consumers

    • How does the producing party avoid unnecessary preparation costs, duplications, delays and inconsistencies?

  • A many to many solution benefits all parties

    • It takes a consortium of producers, consumers, and software vendors with a free, open specification to crack this problem

    • XBRL International helps parties adopt its solution in the confidence that other parties will adopt it as well


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