XBRL Interoperability through a Multidimensional Data Model
|
|
|
- Ashley Perry
- 10 years ago
- Views:
Transcription
1 XBRL Interoperability through a Multidimensional Data Model IADIS INTERNATIONAL Conference on Internet Technologies & Society CITS Shanghai, China December. 8th-10th 2011 Ignacio Santos & Elena Castro LABDA Group Carlos III University of Madrid
2 XBRL language.... XBRL Multidimensional Data Model. and future work. 2
3 Great development in XML and Data Warehouse applications. Companies and financial institutions need more economic information. This information must be reliable and on time. extensible Business Reporting Language (XBRL) standard. This language is mainly used in accounting reports. A set of taxonomies, which define different accounting regulations of a specific report. XBRL represents business information, and is multidimensional, and therefore the logical destination is a Data Warehouse (DW). This paper proposes to automate the mapping between XBRL, and the Multidimensional data model. To provide more clarity to this complex language. Improve the interoperability. 3
4 I The accounting reports are governed by strict regulations, such as the International Financial Reporting Standard (IFRS), or the Accounting General Plan in Spain. These reports require a large amount of Information Technology (IT). These reports must be interoperable.
5 II
6 III A limitation of XBRL is the size of the document instances. This paper presents a mapping between the XBRL data model, and the Multidimensional Data Model (MDM). 6
7 IV 7
8 I Enron Corporation (December, 2001). April 1998 Charles Hoffman proposed to automate the exchange of financial information. To send balance sheets between Town Councils, and the Treasury Ministry. To send results of corporate accounts to the Association of Spanish Property and Commercial Registrars in Spain. Financial statements to Central Banks. 8
9 II Bank of Spain, National Commission of Securities Market of Spain (CNMV), Bank of Portugal, Deutsche Börse, European Bank Authority (EBA), in the UK, Companies House, Her Majesty Revenue and Customs (HMRC), in the U.S., Board of Governors of the Federal Reserve System (FED), US Securities and Exchange Commission (SEC), and other countries as Japan, India, China (Shanghai Stock Exchange (SSE)), and so on. 9
10 III A financial report is based on business rules such as IFRS, Basel II (Convention on the law and banking regulation), and others. These standards may be international, and/or national and/or local and/or company, or of financial institutions. This set of rules can be inherited or overwritten. Uses XML syntax and related technologies like XML Schema, XLink, XPath and Namespaces to provide semantic meaning 10
11 IV A report consists of an XBRL instance (XML document instance), which is the report itself. Report has a set of XML Schemas or XBRL Schemas, called Discoverable Taxonomy Set (DTS), which specify the economic concepts. 11
12 V Each XBRL Schema or XML Schema Consists of roles: - Label - Presentation - Reference - Definition - Calculation - Dimension - Formula - Rendering 12
13 VI 13
14 VII 14
15 I A specific XBRL report is analyzed. This report is the 6610, Public Sector Consolidated Balance (Bank of Spain, 2008). Concepts (items, or rows, primary items in XBRL). The columns are dimensions and dimension attributes, different contexts. 15
16 II 16
17 III 17
18 IV A primary item defines a concept, the concept type, and the measure unit. The context defines the set of dimensions of a fact. This report is only for an entity (financial institution), but it is necessary to store all entities, because of each institution has to send the same report type. A snowflake model will be obtained. 18
19 V 19
20
21 VII Schema starts by adding the necessary namespaces. The set of XML Schemas is defined. This document instance has to be validated to this set of XML Schemas. Context. Segment. The scenario shows the specific pairs of dimension and the dimension attribute of business logic. Unit. 21
22 VIII calculation rule as: Let Z Items of a taxonomy, A i Items of the taxonomy, and w i R, where i = 1.. n, and n w i 0. Then Z = A i w i i=1. The structure of the concepts is hierarchical. The reference data. Footnotes. 22
23 IX 23
24 XBRL Multidimensional Data Model I The dynamic of the model is studied. Structure of metadata is analyzed, as fact schema, fact attributes, dimensions, dimension attributes, and hierarchies. Rules of the schema will be studied. 24
25 XBRL Multidimensional Data Model II 25
26 XBRL Multidimensional Data Model III Report Context; Context Entity. Context PeriodTime. Segment (Dimension, Dimension attributes). Scenario (Dimension, Dimension attributes). Concept name or ID, type; Concept, primary item Fact_Type, Fact_periodType. Two new dimensions are for the concept "father". One dimension is related to concepts with references, and another to concepts without reference. Primary item Concept; Dimension Concept; Dimension attribute Concept. 26
27 XBRL Multidimensional Data Model IV. Context, Primary item, Period, Entity fact. Context, Primary item, Period, Entity, Version Fact. Concept Order. Concept FatherConcept. Let P, Q, and R be predicates, and let accounting_rule(p,q,r) be a rule, where R is the result of the arithmetic operation between P, and Q. And 1 if R is true. let it be true(r). Then the rule of semantic validation 0 if R is false. is defined as P, Q, R(R, accountingrule P, Q, R True R ). Footnote Concept. 27
28 XBRL Multidimensional Data Model IV Concept Label; Concept, language Title. Concept Label. A concept has 0..N references. Hypercube (in the ) is a constraint that defines the set of dimensions permitted or prohibited. 28
29 and future work Clarify the XBRL data model in a Multidimensional data model. Map both data models. Automation of this mapping is proposed. Each report is a fact, but this fact is composed of other facts, the data of the report. Each fact is determined by a basic concept and a set of dimensions. In general, the reports contain different data, and these data have different meanings in space and time, but the report has a meaning by itself. 29
30 and future work We have published a proof of concept of mapping a XBRL report to a RDBMS in Tools Proof of concept, XBRL reports vs. RDBMS. Rules and semantic constraints that haven t been analyzed in this paper. Is possible to automatize the mapping between the XBRL and the MDM. We map to a commonly used Conceptual Model that is MDM. 30
31 XBRL Interoperability through a Multidimensional Data Model Ignacio Santos, [email protected] Elena Castro, [email protected] LABDA Group Carlos III University of Madrid 31
XBRL, UML and Databases: State of art
XBRL, UML and Databases: State of art XIII European Banking Supervisors XBRL Workshop 24th - 25th November 200, Luxembourg Ignacio Santos & Elena Castro LABDA Group Carlos III University of Madrid Summary
MAPPING BETWEEN DPM AND MDM
MAPPING BETWEEN DPM AND MDM CEN WS XBRL XBRL week in Luxembourg, December 10 th, 2013. Ignacio Santos Bank of Spain Madrid, December 10 th, 2013. 1 SUMMARY Introduction. Introduction to the Multidimensional
Improving transparency in financial and business reporting Harmonisation topics Part 5: Mapping between DPM and MDM
CEN/TC XBRL Date: 2013-11 TC XBRL WI XBRL001 CEN/TC XBRL Secretariat: NEN Improving transparency in financial and business reporting Harmonisation topics Part 5: Mapping between DPM and MDM Einführendes
XBRL Analytics that Just Makes Sense
XBR Analytics that Just Makes Sense Haiko Philipp 25th XBR conference, Japan, 08.11.2012 Introduction Why does analytics and data modelling belong together? How is data analysed? Through semantics / characteristics
WhitePaper. Extensible Business Reporting Language (XBRL) An overview for technical users
WhitePaper Extensible Business Reporting Language (XBRL) An overview for technical users Altova, Inc. 900 Cummings Center, Suite 314-T Beverly, MA, 01915-6181, USA Tel: 978-816-1600 Fax: 978-816-1606 Web:
Schneps, Leila; Colmez, Coralie. Math on Trial : How Numbers Get Used and Abused in the Courtroom. New York, NY, USA: Basic Books, 2013. p i.
New York, NY, USA: Basic Books, 2013. p i. http://site.ebrary.com/lib/mcgill/doc?id=10665296&ppg=2 New York, NY, USA: Basic Books, 2013. p ii. http://site.ebrary.com/lib/mcgill/doc?id=10665296&ppg=3 New
Building Views and Charts in Requests Introduction to Answers views and charts Creating and editing charts Performing common view tasks
Oracle Business Intelligence Enterprise Edition (OBIEE) Training: Working with Oracle Business Intelligence Answers Introduction to Oracle BI Answers Working with requests in Oracle BI Answers Using advanced
EIOPA XBRL Filing Rules for Preparatory Phase Reporting
EIOPA-15-253 13 05 2015 EIOPA XBRL Filing Rules for Preparatory Phase Reporting with the Solvency II Preparatory XBRL Taxonomy Ver 1.2 for preparatory phase email: [email protected]; Website: www.eiopa.europa.eu
Databases in Organizations
The following is an excerpt from a draft chapter of a new enterprise architecture text book that is currently under development entitled Enterprise Architecture: Principles and Practice by Brian Cameron
CHAPTER 4: BUSINESS ANALYTICS
Chapter 4: Business Analytics CHAPTER 4: BUSINESS ANALYTICS Objectives Introduction The objectives are: Describe Business Analytics Explain the terminology associated with Business Analytics Describe the
UNLOCKING XBRL CONTENT
UNLOCKING XBRL CONTENT An effective database solution for storing and accessing XBRL documents An Oracle & UBmatrix Whitepaper September 2009 Oracle Disclaimer The following is intended to outline our
The Future of Global Financial Analysis extensible Business Reporting Language
The Future of Global Financial Analysis extensible Business Reporting Language Nazik S. Roufaiel and Magdy S. Roufaiel Abstract extensible Business Reporting Language (XBRL) is expected to have a profound
Big Data Analytics. Rasoul Karimi
Big Data Analytics Rasoul Karimi Information Systems and Machine Learning Lab (ISMLL) Institute of Computer Science University of Hildesheim, Germany Big Data Analytics Big Data Analytics 1 / 1 Introduction
QUALITY CONTROL PROCESS FOR TAXONOMY DEVELOPMENT
AUTHORED BY MAKOTO KOIZUMI, IAN HICKS AND ATSUSHI TAKEDA JULY 2013 FOR XBRL INTERNATIONAL, INC. QUALITY CONTROL PROCESS FOR TAXONOMY DEVELOPMENT Including Japan EDINET and UK HMRC Case Studies Copyright
Standard Business Reporting
Standard Business Reporting IFRS AU Taxonomy 2014 Guide Program name: Standard Business Reporting Date: 19 th June 2014 Production Release suitable for use This document and its attachments are Unclassified
Mapping Analyst for Excel Guide
Mapping Analyst for Excel Guide Informatica PowerCenter (Version 8.6.1) Informatica Mapping Analyst for Excel Guide Version 8.6.1 March 2009 Copyright (c) 1998 2009 Informatica Corporation. All rights
Data Modeling Basics
Information Technology Standard Commonwealth of Pennsylvania Governor's Office of Administration/Office for Information Technology STD Number: STD-INF003B STD Title: Data Modeling Basics Issued by: Deputy
1. OLAP is an acronym for a. Online Analytical Processing b. Online Analysis Process c. Online Arithmetic Processing d. Object Linking and Processing
1. OLAP is an acronym for a. Online Analytical Processing b. Online Analysis Process c. Online Arithmetic Processing d. Object Linking and Processing 2. What is a Data warehouse a. A database application
Using XBRL and Quantrix Modeler to Analyze Financial Statements Part 1
Using XBRL and Quantrix Modeler to Analyze Financial Statements Part 1 by Luca Erzegovesi Department of Computer and Management Sciences, University of Trento ([email protected]) This version: December
How To Improve Performance In A Database
Some issues on Conceptual Modeling and NoSQL/Big Data Tok Wang Ling National University of Singapore 1 Database Models File system - field, record, fixed length record Hierarchical Model (IMS) - fixed
Leveraging the power of UNSPSC for Business Intelligence
Paper No. Satyam/DW&BI/00 6 A Satyam White Paper Leveraging the power of UNSPSC for Business Intelligence Author: Anantha Ramakrishnan [email protected] Introduction The Universal Standard Products
Table of Contents. Testimonials from the MDM Alliance Group... Introduction to MDM...
Testimonials from the MDM Alliance Group... Foreword... xiii xxv Preface... xxix Acknowledgements... xxxix Introduction to MDM... xli PART ONE: THE MDM APPROACH... 1 Chapter 1. A Company and its Data...
Improving your Data Warehouse s IQ
Improving your Data Warehouse s IQ Derek Strauss Gavroshe USA, Inc. Outline Data quality for second generation data warehouses DQ tool functionality categories and the data quality process Data model types
PowerDesigner WarehouseArchitect The Model for Data Warehousing Solutions. A Technical Whitepaper from Sybase, Inc.
PowerDesigner WarehouseArchitect The Model for Data Warehousing Solutions A Technical Whitepaper from Sybase, Inc. Table of Contents Section I: The Need for Data Warehouse Modeling.....................................4
How to Define Authorizations
SAP Business One How-To Guide PUBLIC How to Define Authorizations Applicable Release: SAP Business One 8.8 All Countries English September 2009 Table of Contents Introduction... 3 Authorizations Window...
How To Write A Report In Xbarl
XBRL Generation, as easy as a database. Christelle BERNHARD - [email protected] Consultant & Deputy Product Manaer of ADDACTIS Pillar3 Copyriht 2015 ADDACTIS Worldwide. All Rihts Reserved
HYPERION MASTER DATA MANAGEMENT SOLUTIONS FOR IT
HYPERION MASTER DATA MANAGEMENT SOLUTIONS FOR IT POINT-AND-SYNC MASTER DATA MANAGEMENT 04.2005 Hyperion s new master data management solution provides a centralized, transparent process for managing critical
Master Data Services Training Guide. Modeling Guidelines. Portions developed by Profisee Group, Inc. 2010 Microsoft
Master Data Services Training Guide Modeling Guidelines Portions developed by Profisee Group, Inc. 2010 Microsoft MDM: A Multifaceted Discipline Master Data Management is a multi-faceted discipline that
CHAPTER 5: BUSINESS ANALYTICS
Chapter 5: Business Analytics CHAPTER 5: BUSINESS ANALYTICS Objectives The objectives are: Describe Business Analytics. Explain the terminology associated with Business Analytics. Describe the data warehouse
Model-Driven Data Warehousing
Model-Driven Data Warehousing Integrate.2003, Burlingame, CA Wednesday, January 29, 16:30-18:00 John Poole Hyperion Solutions Corporation Why Model-Driven Data Warehousing? Problem statement: Data warehousing
XBRL Processor Interstage XWand and Its Application Programs
XBRL Processor Interstage XWand and Its Application Programs V Toshimitsu Suzuki (Manuscript received December 1, 2003) Interstage XWand is a middleware for Extensible Business Reporting Language (XBRL)
Table of Contents. CHAPTER 1 Web-Based Systems 1. CHAPTER 2 Web Engineering 12. CHAPTER 3 A Web Engineering Process 24
Table of Contents CHAPTER 1 Web-Based Systems 1 The Web 1 Web Applications 2 Let s Introduce a Case Study 3 Are WebApps Really Computer Software? 4 Are the Attributes of WebApps Different from the Attributes
Data Warehouse design
Data Warehouse design Design of Enterprise Systems University of Pavia 11/11/2013-1- Data Warehouse design DATA MODELLING - 2- Data Modelling Important premise Data warehouses typically reside on a RDBMS
MS-50401 - Designing and Optimizing Database Solutions with Microsoft SQL Server 2008
MS-50401 - Designing and Optimizing Database Solutions with Microsoft SQL Server 2008 Table of Contents Introduction Audience At Completion Prerequisites Microsoft Certified Professional Exams Student
European Archival Records and Knowledge Preservation Database Archiving in the E-ARK Project
European Archival Records and Knowledge Preservation Database Archiving in the E-ARK Project Janet Delve, University of Portsmouth Kuldar Aas, National Archives of Estonia Rainer Schmidt, Austrian Institute
Relational Database Basics Review
Relational Database Basics Review IT 4153 Advanced Database J.G. Zheng Spring 2012 Overview Database approach Database system Relational model Database development 2 File Processing Approaches Based on
IBM Cognos 8 Business Intelligence Analysis Discover the factors driving business performance
Data Sheet IBM Cognos 8 Business Intelligence Analysis Discover the factors driving business performance Overview Multidimensional analysis is a powerful means of extracting maximum value from your corporate
Proceedings of the International MultiConference of Engineers and Computer Scientists 2013 Vol I, IMECS 2013, March 13-15, 2013, Hong Kong
, March 13-15, 2013, Hong Kong Risk Assessment for Relational Database Schema-based Constraint Using Machine Diagram Kanjana Eiamsaard 1, Nakornthip Prompoon 2 Abstract Information is a critical asset
Oracle Data Integrator: Administration and Development
Oracle Data Integrator: Administration and Development What you will learn: In this course you will get an overview of the Active Integration Platform Architecture, and a complete-walk through of the steps
THE ROLE OF TECHNOLOGY IN PRIMARY REPORTING 1 December 2004
THE ROLE OF TECHNOLOGY IN PRIMARY REPORTING 1 December 2004 The primary reporting streamlining is a requirement represented by the European banking system in many fora. The role of technology in the development
XBRL SOFTWARE REQUIREMENTS
XBRL SOFTWARE REQUIREMENTS Considerations for Development of XBRL Taxonomy Editor and Instance Document Creator Software May 2003 AICPA XBRL Implementation Task Force AICPA XBRL Implementation Task Force:
Data Vault and The Truth about the Enterprise Data Warehouse
Data Vault and The Truth about the Enterprise Data Warehouse Roelant Vos 04-05-2012 Brisbane, Australia Introduction More often than not, when discussion about data modeling and information architecture
Extracting Your Company s Data with the New Audit Data Standard
Extracting Your Company s Data with the New Audit Data Standard Written by Kristine Hasenstab and Eric E. Cohen Have you ever been responsible for meeting an internal or external auditor's request for
Business Intelligence Tutorial
IBM DB2 Universal Database Business Intelligence Tutorial Version 7 IBM DB2 Universal Database Business Intelligence Tutorial Version 7 Before using this information and the product it supports, be sure
On the general structure of ontologies of instructional models
On the general structure of ontologies of instructional models Miguel-Angel Sicilia Information Engineering Research Unit Computer Science Dept., University of Alcalá Ctra. Barcelona km. 33.6 28871 Alcalá
BIG DATA COURSE 1 DATA QUALITY STRATEGIES - CUSTOMIZED TRAINING OUTLINE. Prepared by:
BIG DATA COURSE 1 DATA QUALITY STRATEGIES - CUSTOMIZED TRAINING OUTLINE Cerulium Corporation has provided quality education and consulting expertise for over six years. We offer customized solutions to
MDM and Data Warehousing Complement Each Other
Master Management MDM and Warehousing Complement Each Other Greater business value from both 2011 IBM Corporation Executive Summary Master Management (MDM) and Warehousing (DW) complement each other There
Using Database Metadata and its Semantics to Generate Automatic and Dynamic Web Entry Forms
Using Database Metadata and its Semantics to Generate Automatic and Dynamic Web Entry Forms Mohammed M. Elsheh and Mick J. Ridley Abstract Automatic and dynamic generation of Web applications is the future
By: Peter K. Mulwa MSc (UoN), PGDE (KU), BSc (KU) Email: [email protected]
SPREADSHEETS FOR MARKETING & SALES TRACKING - DATA ANALYSIS TOOLS USING MS EXCEL By: Peter K. Mulwa MSc (UoN), PGDE (KU), BSc (KU) Email: [email protected] Objectives By the end of the session, participants
Chapter 2. Data Model. Database Systems: Design, Implementation, and Management, Sixth Edition, Rob and Coronel
Chapter 2 Data Model Database Systems: Design, Implementation, and Management, Sixth Edition, Rob and Coronel 1 In this chapter, you will learn: Why data models are important About the basic data-modeling
Microsoft SQL Server for Oracle DBAs Course 40045; 4 Days, Instructor-led
Microsoft SQL Server for Oracle DBAs Course 40045; 4 Days, Instructor-led Course Description This four-day instructor-led course provides students with the knowledge and skills to capitalize on their skills
Talend Metadata Manager. Reduce Risk and Friction in your Information Supply Chain
Talend Metadata Manager Reduce Risk and Friction in your Information Supply Chain Talend Metadata Manager Talend Metadata Manager provides a comprehensive set of capabilities for all facets of metadata
Keywords : Data Warehouse, Data Warehouse Testing, Lifecycle based Testing
Volume 4, Issue 12, December 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com A Lifecycle
SQL Server 2012 Business Intelligence Boot Camp
SQL Server 2012 Business Intelligence Boot Camp Length: 5 Days Technology: Microsoft SQL Server 2012 Delivery Method: Instructor-led (classroom) About this Course Data warehousing is a solution organizations
MOC 20467B: Designing Business Intelligence Solutions with Microsoft SQL Server 2012
MOC 20467B: Designing Business Intelligence Solutions with Microsoft SQL Server 2012 Course Overview This course provides students with the knowledge and skills to design business intelligence solutions
THE DATA WAREHOUSE ETL TOOLKIT CDT803 Three Days
Three Days Prerequisites Students should have at least some experience with any relational database management system. Who Should Attend This course is targeted at technical staff, team leaders and project
Common Warehouse Metamodel (CWM): Extending UML for Data Warehousing and Business Intelligence
Common Warehouse Metamodel (CWM): Extending UML for Data Warehousing and Business Intelligence OMG First Workshop on UML in the.com Enterprise: Modeling CORBA, Components, XML/XMI and Metadata November
Sizing Logical Data in a Data Warehouse A Consistent and Auditable Approach
2006 ISMA Conference 1 Sizing Logical Data in a Data Warehouse A Consistent and Auditable Approach Priya Lobo CFPS Satyam Computer Services Ltd. 69, Railway Parallel Road, Kumarapark West, Bangalore 560020,
Architectural, Training. Guidance Manual. for XBRL FORMAT
Architectural, Training & Guidance Manual for Filing of Cost Audit Report & Compliance Report in XBRL FORMAT November 2012 CMA RAKESH SINGH PRESIDENT THE INSTITUTE OF COST ACCOUNTANTS OF INDIA (Statutory
A Model-based Software Architecture for XML Data and Metadata Integration in Data Warehouse Systems
Proceedings of the Postgraduate Annual Research Seminar 2005 68 A Model-based Software Architecture for XML and Metadata Integration in Warehouse Systems Abstract Wan Mohd Haffiz Mohd Nasir, Shamsul Sahibuddin
Enabling Better Business Intelligence and Information Architecture With SAP Sybase PowerDesigner Software
SAP Technology Enabling Better Business Intelligence and Information Architecture With SAP Sybase PowerDesigner Software Table of Contents 4 Seeing the Big Picture with a 360-Degree View Gaining Efficiencies
DETAILS ABOUT XBRL CONVERSION SOFTWARE
DETAILS ABOUT XBRL CONVERSION SOFTWARE Name of Company/Firm: Skorydov Systems Private Limited Name & Designation of contact Person: Dileep Singh (Manager) Anshal Thakur (Manager) Contact Details Registered
The. Interactive XBRL Viewer
The Interactive XBRL Viewer Please find the initial XBRL documents for your SEC report data. The goal of this review is to provide feedback on/verify the following: 1. XBRL tags are correct and represent
EFFECTIVE STORAGE OF XBRL DOCUMENTS
EFFECTIVE STORAGE OF XBRL DOCUMENTS An Oracle & UBmatrix Whitepaper June 2007 Page 1 Introduction Today s business world requires the ability to report, validate, and analyze business information efficiently,
OBIEE 11g Data Modeling Best Practices
OBIEE 11g Data Modeling Best Practices Mark Rittman, Director, Rittman Mead Oracle Open World 2010, San Francisco, September 2010 Introductions Mark Rittman, Co-Founder of Rittman Mead Oracle ACE Director,
Enabling Better Business Intelligence and Information Architecture With SAP PowerDesigner Software
SAP Technology Enabling Better Business Intelligence and Information Architecture With SAP PowerDesigner Software Table of Contents 4 Seeing the Big Picture with a 360-Degree View Gaining Efficiencies
Creating an Enterprise Reporting Bus with SAP BusinessObjects
September 10-13, 2012 Orlando, Florida Creating an Enterprise Reporting Bus with SAP BusinessObjects Kevin McManus LaunchWorks Session : 0313 Learning Points By consolidating people, process, data and
Oracle BI Suite Enterprise Edition For Discoverer Users. Mark Rittman, Rittman Mead Consulting http://www.rittmanmead.com
Oracle BI Suite Enterprise Edition For Discoverer Users Mark Rittman, Rittman Mead Consulting http://www.rittmanmead.com Who Am I? Oracle BI&W Architecture & Development Specialist The Rittman of Rittman
! " # The Logic of Descriptions. Logics for Data and Knowledge Representation. Terminology. Overview. Three Basic Features. Some History on DLs
,!0((,.+#$),%$(-&.& *,2(-$)%&2.'3&%!&, Logics for Data and Knowledge Representation Alessandro Agostini [email protected] University of Trento Fausto Giunchiglia [email protected] The Logic of Descriptions!$%&'()*$#)
SAP Disclosure Management Document Version: 10.0 SP08-2014-03-13. Report Builder Help
SAP Disclosure Management Document Version: 10.0 SP08-2014-03-13 Table of Contents 1 Getting Started... 5 1.1 Overview...5 1.2 Features....5 1.3 Compliance with XBRL Specifications...7 1.4 Intended Users....7
Master Data Management. Zahra Mansoori
Master Data Management Zahra Mansoori 1 1. Preference 2 A critical question arises How do you get from a thousand points of data entry to a single view of the business? We are going to answer this question
Online submission of account of receipts and utilization of Foreign Contribution for the year in FC-6 Form
Online submission of account of receipts and utilization of Foreign Contribution for the year in FC-6 Form Instructions for online filing of annual account in FC-6 Form 1. For online filing of annual accounts,
Hyperion Master Data Management 9.0 Administration Student Guide
Hyperion Master Data Management 9.0 Administration Student Guide D50739GC10 Edition 1.0 June 2007 D50924 Copyright 2006, 2007, Oracle. All rights reserved. Disclaimer This document contains proprietary
Lost in Space? Methodology for a Guided Drill-Through Analysis Out of the Wormhole
Paper BB-01 Lost in Space? Methodology for a Guided Drill-Through Analysis Out of the Wormhole ABSTRACT Stephen Overton, Overton Technologies, LLC, Raleigh, NC Business information can be consumed many
6NF CONCEPTUAL MODELS AND DATA WAREHOUSING 2.0
ABSTRACT 6NF CONCEPTUAL MODELS AND DATA WAREHOUSING 2.0 Curtis Knowles Georgia Southern University [email protected] Sixth Normal Form (6NF) is a term used in relational database theory by Christopher
The Benefits of Data Modeling in Business Intelligence
WHITE PAPER: THE BENEFITS OF DATA MODELING IN BUSINESS INTELLIGENCE The Benefits of Data Modeling in Business Intelligence DECEMBER 2008 Table of Contents Executive Summary 1 SECTION 1 2 Introduction 2
DATA WAREHOUSE BUSINESS INTELLIGENCE FOR MICROSOFT DYNAMICS NAV
www.bi4dynamics.com DATA WAREHOUSE BUSINESS INTELLIGENCE FOR MICROSOFT DYNAMICS NAV True Data Warehouse built for content and performance. 100% Microsoft Stack. 100% customizable SQL code. 23 languages.
Data Warehouse Design
Data Warehouse Design Modern Principles and Methodologies Matteo Golfarelli Stefano Rizzi Translated by Claudio Pagliarani Mc Grauu Hill New York Chicago San Francisco Lisbon London Madrid Mexico City
LINKED DATA EXPERIENCE AT MACMILLAN Building discovery services for scientific and scholarly content on top of a semantic data model
LINKED DATA EXPERIENCE AT MACMILLAN Building discovery services for scientific and scholarly content on top of a semantic data model 22 October 2014 Tony Hammond Michele Pasin Background About Macmillan
Oracle Architecture, Concepts & Facilities
COURSE CODE: COURSE TITLE: CURRENCY: AUDIENCE: ORAACF Oracle Architecture, Concepts & Facilities 10g & 11g Database administrators, system administrators and developers PREREQUISITES: At least 1 year of
Oracle Data Integrator Overview and Demo. Maria Mundrova ETL Developer/DW Consultant
Oracle Data Integrator Overview and Demo Maria Mundrova ETL Developer/DW Consultant BGOUG Spring Conference, 2009 Presentation Agenda Oracle Data Integrator What is ODI? ELT Approach Architecture Oracle
