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Plenoptic Reporting Systems and Big Data Analytics Light-Field Business Reporting.

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Presentation on theme: "Plenoptic Reporting Systems and Big Data Analytics Light-Field Business Reporting."— Presentation transcript:

1 Plenoptic Reporting Systems and Big Data Analytics Light-Field Business Reporting

2 Big Data – The stuff your systems today can’t store or process like it does traditional structured data Big data – Collecting and using a lot more information from many more sources than we do today Plenoptic – of or relating to all the light, travelling in every direction in a given space. Plenoptic Reporting Systems – Capturing and making available all of the relevant information without a prior knowledge of expected use or user – A corollary to Quantum Reporting (WCARS 2006)

3 Taking a Page from Photography Lytro – https://pictures.lytro.com/lytroweb/pictures/431 131 https://pictures.lytro.com/lytroweb/pictures/431 131 Theta – https://theta360.com/spheres/147 https://theta360.com/spheres/147

4 Adding Intelligence to Accounting Business Reporting http://www.datacoalition.com/content/files/lebryk.pdf

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7 Did You Catch That? Intelligent Data Based on standards Without knowing what the future use or who the future users are

8 Right Decision Requires Full Context 1 Case of Clove, 1 Case of Horehound The Swinger We’re out of that, do you want anything else? “Of course, we sold that, do you know what else was happening at the time?”

9 Delving into Data

10 Now’s the Time for Real-time SEC. 409. REAL TIME ISSUER DISCLOSURES – Section 13 of the Securities Exchange Act of 1934 (15 U.S.C. 78m), as amended by this Act, is amended by adding at the end the following: ‘‘(l) REAL TIME ISSUER DISCLOSURES.—Each issuer reporting under section 13(a) or 15(d) shall disclose to the public on a rapid and current basis such additional information concerning material changes in the financial condition or operations of the issuer, in plain English, which may include trend and qualitative information and graphic presentations, as the Commission determines, by rule, is necessary or useful for the protection of investors and in the public interest.’’ “[W]e need to move toward a dynamic model of current disclosure of unquestionably material information.” Harvey Pitt, Pre-”E” http://www.sec.gov/news/speech/spch523.htm

11 Deliver real-time XML data stream; On demand Web- services available data using secure and not-so-secure links Bring together information from various sources with all version control, security, etc. “in plain English, which may include trend and qualitative information and graphic presentations”

12 XBRL GL Fills the GAPS between GAAPS BUSINESS Investors Aggregators RegulatorsCreditorsLendersTaxWebsite Transaction Creation ERP G/L Packages CRM Orders A/P Delivery Customers Orders A/R Delivery 2-way Suppliers One way One way XBRL BUSINESS REPORTING (e-)Trx X12, UBL, CEFACT, OTHER XML XBRL GL Global Ledger Detail Accounting recognition/ classification Intra system Detail to summary Financial Reporting * Tax Reporting * ANY Kind of Reporting

13 Scope and role of XBRL External Reporting Business Operations Internal Reporting Investment, Lending, Regulation Processes Participants Auditors Trading Partners Investors Financial Publishers and Data Aggregators Regulators Software Vendors Management Accountants Companies Economic Policymaking Central Banks XBRL Global Ledger Taxonomy Framework XBRL External Reporting

14 The Great Reconciler Frictionless Data Seamless Audit Trail Unambiguous links to end reporting Interoperability and integration to the source Cooperation with the detail

15 Change? Probabilistic/stochastic Data provides comfort to data

16 Resources XBRL’s Global Ledger Taxonomy Framework – http://www.xbrl.org/GLTaxonomy http://www.xbrl.org/GLTaxonomy – http://gl.iphix.net http://gl.iphix.net Data Transparency 2013 – http://Datatransparency2013.com http://Datatransparency2013.com – David Lebryk speech http://www.datacoalition.com/content/files/lebryk.pdf


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