2006 Gordon James
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2006 Gordon James

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    2006 Gordon James 2006 Gordon James Presentation Transcript

    • SAS Users New Zealand Proudly sponsored by…
    • What exactly do these numbers mean? Where do they come from? October 2006 Gordon James Solutions Specialist
    • Any Business Depends on Trustworthy Information for its Success These numbers must be wrong…we shipped 1000 units where?! Why doesn’t the corporate revenue report balance with the subsidiaries? Boardroom How can we make informed decisions with conflicting information? Supply Chain IT Finance Sales Marketing Where does the Customer Lifetime Value number come from? What exactly does “Target Revenue” mean? I only run the reports, I don’t decide what’s in them!
    • Data on its own is of little use What do the following mean?
      • 128
      • The quantity in the warehouse of product number P12
      • Folio num 0134548
      • ‘ Folio’ is a synonym for customer order number
      • At lunch they were 3 for 1
      • ‘ They’ are the Black Caps scoring 3 runs for 1 wicket
      • $13.35
      • Price of a taxi ride I took in Auckland
      • Bu4NPh4B
      • The chemical formula for nitrobenzine
    • “ Relationships is the stuff of which Information is made” – W.Kent Data and Reality. North-Holland, 1978
      • For information to be useful it must include:
      • The Symbols
      • The Name and Description of data
      • The Context of the data
      • … and it must be accurate and timely!
    • Where Do Business Terms Originate? 3. Common Object Data Definitions (CODDS) 2. Local Object Data Definitions (LODDS) 1. User Defined Objects Source: Jonathan Wu, Business Intelligence: Whats in a name?, DM Review, Mar 2001
    • Where are business definitions usually recorded?
      • What
        • Data models
        • Process models
        • Application models
        • Data Dictionaries
        • Glossaries of Terms
        • Technical Metadata
        • Business Metadata
      • Where
        • System Documentation
          • Paper
          • Computer
        • Metadata Repositories
        • Case Tools
        • System Tables
        • Database Schemas
        • People’s brains
      a.k.a. Metadata
    • What is Metadata?
      • “ Data about Data”
      • “ Information, documented in IT tools, that improves both business and technical understanding of data and data-related processes” - Robert S. Seiner
      • Typically broken down into 2 levels:
        • Technical
        • Business
    • Technical Metadata
      • Supports the development, maintenance and management of an Information Technology Environment.
      • Answers technical questions like:
        • What types of hardware and software are installed?
        • How and where is physical storage defined?
        • How are the data sources defined?
        • How do I integrate this change request?
      • Examples include
        • Physical storage structures, Server Systems, Installed Applications, Data Manipulation processes etc.
    • Business Metadata
      • Makes the data and services in the environment easier to understand and use
      • Less concrete than Technical, but allows the business analyst to make sound decisions based on the data
      • Answers business questions like:
        • What do the values mean?
        • Can I trust these numbers…where did they come from?
        • What reports are available reports?
        • What data can our employees view?
      • Examples include
        • Data Classification, business meaning and usage, presentation definitions, etc.
    • What do people want to see? Analysts Business Analysts Researchers Statisticians BICC Very High Interest Development & Maintenance Impact Analysis Change Management High Interest Support Business Users: Metadata/Data Origin Data Quality High Interest Definition of data Origin of data Auditability/Compliancy Reliability Little or No Interest Technical Analytics & BI Business Users Business Managers Decision Makers Info Consumers Technical Users IT Users ETL Developers DBAs ( User Focus ) ( Information Delivery System ) Business Source Data Reverse Impact/ Lineage / Pedigree Impact Analysis / Forward Lineage
      • Functional group focus
      • Information = political power
      • Departmental standards
      • Departmental tools
      • Silos of information
      Why do so many organizations struggle to provide this view? Many NZ organizations are at Level 2 on the Information Evolution Model The Information Evolution Model Level 2: Consolidate Silos of Information
    • Common Business Metadata
      • Realizing the vision of becoming an Intelligent Business depends on common business metadata .
        • Common data names ,
        • Common data definitions
        • Common data integrity rules
        • All data items in the data warehousing system must be absolutely consistent .”
      • Source: Mike Ferguson, Common Metadata The Foundation Stone for Intelligent Business, www.b-eye-network.com , July 2006
      • Lack of common business nomenclature and definitions for information objects
      • Disparate business and technical Metadata stored in product specific metadata models and repositories
      • User interfaces surface only their own metadata.
      Why do so many organizations struggle to provide this view?
      • EAI, EII, CDI, MDM
      • Staging Databases
      • Operational Data Stores
      • Enterprise Data Warehouses
      • Data Marts
      • OLAP Cubes
      • Virtual Data Sources
      Why do many organizations struggle to provide this view? Architectural options for designing Information Delivery Systems are numerous and complex
      • Stored Processes
      • Portals
      • Q&R Tools
      • Analytics Tools
      • Desktop productivity tools
      • Spreadsheets
      • Intranet, Extranet, Internet
      How did they get so complex?
    • Transactional Source Data Technical User Analytical User Business User Database Schema Data Dictionary Metadata Environment Physical Environment 1. Reporting from Operational Databases Models Analysis Projects Q&R Queries/Reports
    • 2. Reporting via a Data Warehouse Transactional Source Data Technical User Analytical User Business User Database Schema Data Dictionary Subject Model Logical Model Data Warehouse ETL Physical Schema Metadata Environment Physical Environment Models Analysis Projects Q&R Queries/Reports Process Model ETL
    • 3. Reporting via Data Marts Transactional Source Data Technical User Analytical User Business User Database Schema Data Dictionary Subject Model Logical Model Data Warehouse ETL Physical Schema Data Marts Dimensional Model ETL Metadata Environment Physical Environment ETL Star Schema Models Analysis Projects Q&R Queries/Reports Process Model ETL
    • 4. Reporting from OLAP Cubes Transactional Source Data Technical User Analytical User Business User Database Schema Data Dictionary Subject Model Logical Model Data Warehouse ETL Physical Schema Data Marts Dimensional Model ETL Metadata Environment Physical Environment ETL Star Schema OLAP Cubes Multi-dimensional Model Models Analysis Projects Q&R Queries/Reports Process Model ETL
    • 5. Reporting via Virtual Data Sources Transactional Source Data Technical User Analytical User Business User Database Schema Data Dictionary Subject Model Logical Model Data Warehouse ETL Physical Schema Data Marts Dimensional Model ETL Metadata Environment Physical Environment ETL Star Schema OLAP Cubes Multi-dimensional Model Information Map Virtual Data Source Models Analysis Projects Q&R Queries/Reports Process Model ETL
    • 6. Reporting via Alternative Channels Transactional Source Data Technical User Analytical User Business User Database Schema Data Dictionary Subject Model Logical Model Data Warehouse ETL Physical Schema Data Marts Dimensional Model ETL Metadata Environment Physical Environment ETL Star Schema OLAP Cubes Multi-dimensional Model Information Map Virtual Data Source Models Analysis Projects Q&R Queries/Reports Process Model ETL Personal Marts Informal Channels Q&R Models ETL Data
    • How SAS addresses the Business Metadata Problem?
      • Information Maps to capture common business nomenclature and definitions for all information objects
      • Open Metadata Server that fully integrates business and technical Metadata spanning the entire information delivery system
      • Surfaces business metadata in user interfaces tailored to the needs of different users across the enterprise
    • Information Maps – create reports self-sufficiently SAS Information Maps hide complex business queries and enable business users to self-sufficiently create BI content They support the use of common business nomenclature and definition across the business.
    • Access Information Maps from everywhere Ease of use without having to understand SQL or MDX from all BI clients Standardized access to data SAS ® Web Report Studio SAS ® Add-In for Microsoft Office SAS ® Enterprise Guide SAS ® BASE
      • Consolidates metadata into one location:
        • Business Metadata
        • Technical Metadata including environment configuration
        • Security
      • Map physical data structures to understandable business terms
      • Access data from virtually any data source
      • Define consistent business views for relational tables
      • Create and manage IT controlled securities and business rules
      Fully Integrated Metadata Centralized, Integrated Metadata Repository
    • OneBox finds SAS Intelligence
      • Google Search connects business users directly to the SAS Enterprise Intelligence Platform
      • Google OneBox connects to the SAS Metadata Server to search for relevant information within the platform.
      • Business users access SAS intelligence within the familiar interface of Google Search.
    • SAS Users New Zealand Proudly sponsored by…