Corporate Digital Library

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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.

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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

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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 work-flow automation and business process integration

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Corporate digital library as core of document management

Corporate Digital Library

Customers stake-holders

Sales andmarketing

Service and support

Suppliers

Accounting And Finance

Manufacturing and production

R & DEngineering

Human Resources

Government regulations

Legal cases and contracts

Documentation,Manuals, records

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Digital Document managementThe 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 of product

information and design documents

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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 document-

encoding standards

• Distributed hypertext (HTTP)– Structuring interlinked textual and multimedia

information for distributed network access

• Active or compound– Structuring applications around a document interface

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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 difficultFunctions• 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