2014Open Journal Systems (Global Science & Technology Forum)Requires access

A Knowledge Management Approach: Business Intelligence in an Intranet Data Warehouse

Lisa Soon, Campbell Fraser

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Abstract

For contemporary businesses to stay viable, business intelligence is mission critical. Although the importance of business intelligence is recognised, there is limited research on what information contributes to business intelligence and how business intelligence is sought for use in an organisational intranet. This research discusses how business intelligence is sought, captured and used having tapped into an intranet data warehouse as a knowledge management approach. It adopts qualitative case study method using interviews and observation techniques. A case study was conducted to examine how an Intranet system was designed, how business intelligence was captured, and how it aided strategic planning and decision making in business operation. The respondents explained how structured business intelligence data was categorised and disseminated to users and how the used information empowered staff in their work performance. The intranet design successfully retains staff knowledge within the organisation. It was also successful in drawing all internal resources together, capturing resources from external sources, and forming a common repository of organisational assets for use through organisational work procedures within the intranet.

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What this paper is about

For contemporary businesses to stay viable, business intelligence is mission critical. Although the importance of business intelligence is recognised, there is limited research on what information contributes to business intelligence and how business intelligence is sought for use in an organisational intranet. This research discusses how business intelligence is sought, captured and used having tapped into an intranet data warehouse as a knowledge management approach. It adopts qualitative case study method using interviews and observation techniques. A case study was conducted to examine how an Intranet system was designed, how business intelligence was captured, and how it aided strategic planning and decision making in business operation. The respondents explained how structured business intelligence data was categorised and disseminated to users and how the used information empowered staff in their work performance. The intranet design successfully retains staff knowledge within the organisation. It was also successful in drawing all internal resources together, capturing resources from external sources, and forming a common repository of organisational assets for use through organisational work procedures within the intranet.

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Available abstract

For contemporary businesses to stay viable, business intelligence is mission critical. Although the importance of business intelligence is recognised, there is limited research on what information contributes to business intelligence and how business intelligence is sought for use in an organisational intranet. This research discusses how business intelligence is sought, captured and used having tapped into an intranet data warehouse as a knowledge management approach. It adopts qualitative case study method using interviews and observation techniques. A case study was conducted to examine how an Intranet system was designed, how business intelligence was captured, and how it aided strategic planning and decision making in business operation. The respondents explained how structured business intelligence data was categorised and disseminated to users and how the used information empowered staff in their work performance. The intranet design successfully retains staff knowledge within the organisation. It was also successful in drawing all internal resources together, capturing resources from external sources, and forming a common repository of organisational assets for use through organisational work procedures within the intranet.

Key concepts: Intranet, Data warehouse, Business intelligence, Knowledge management, Warehouse, Computer science, Business, Online analytical processing

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