Corporate Digital Library By Anand Kumar
Digital Libraries Digital libraries represent a powerful new set of tools for preserving, disseminating, and reusing technology on a large scale within distributed corporate organizations. Drawing from disciplines including information retrieval, the Web and library science, digital libraries provide a means for capturing and preserving design, manufacturing and quality information for complex products and systems during their lifecycles. 2
How information is managed in corporate? • • • • • • • • •
Decision Support Systems Management Support Systems Visual Information Access and Analysis Data/Information Warehouses Structured Document and Imaging Databases Executive Information Systems Business Intelligence Systems On-line Analytical Processing Multidimensional databases 3
Key decision support trends • Digital information infrastructure consisting of documents and data • Better utilization of information in strategic and operational decision making, which involves effective on-line information search and retrieval in a distributed environment • Architecture for implementing decision through workflow automation and business process integration
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Corporate digital library as core of document management Customers stake-holders
Legal cases and contracts Government regulations
Sales and marketing Service and support
Human Resources Corporate Digital Library
R&D Engineering Manufacturing and production
Suppliers
Documentation, Manuals, records
Accounting And Finance 5
Digital Document management The document is the life blood of the enterprise
• Digital document is the means by which members in the organization interact with each other and customers • Ability to automate and streamline document-based processes – – – – – – –
Authoring Approving Distribution Viewing Searching Retrieving Storing
• Leverage the value of corporate informationby providing tools to access information • Wide variety of disparate functions
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Digital Document management: Issues and Concerns • Ad hoc documents – Letters, financial reports, manuals
• Process-specific documents – Invoices or purchase orders
• Knowledge-oriented documents – Technical documentation, catalogs information and design documents
of
product
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Types of Digital Documents • Document Imaging (JPEG, TIFF) – Scanning documents for storage and faxing
• Structured documents (SGML,ODA, RTF) – Structuring and encoding information using documentencoding standards
• Distributed hypertext (HTTP) – Structuring interlinked textual and information for distributed network access
multimedia
• Active or compound – Structuring applications around a document interface 8
Issues behind document infrastructure • • • • •
Variance in end user’s needs Diversity in hardware performance Information distribution Architecture for corporate digital libraries Document constituencies – End users – Developers – Document librarians
• Document oriented processes – – – –
Document creation Document media conversion Document production and distribution Document storage and retrieval
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Issues behind document infrastructure • Document based work flows – – – –
Document modelling Transformation Synthesizing Business modeling
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Corporate data warehouses • An information based approach to decision making • Involvement in highly competitive, rapidly changing markets with a large, diverse customer base for a variety of products • Data stored in many systems and represented differently • Data stored in complex, technical, difficult-to-decipher formats, making conversion for analysis difficult Functions • Allows existing transaction and legacy systems to continue operation • Consolidates data from various transaction systems into coherent set • Allows analysis of vital information about current operations for decision support
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Types of Data Warehouses • • • •
Physical data warehouses Logical data warehouses Data library Decision support systems
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Elements • Back end – Building data warehouse
• Preparing data for analysis – Preparing for business analysis
• Front end – User retrieval – Proactive delivery
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Advantages • • • •
Timely and accurate information retrieval Management of large volumes of information Solid basis for DSS Online analytic processing
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