Microsoft OLAP solutions
Decision Support Systems - Special issue on WITS '97
Data mining: concepts and techniques
Data mining: concepts and techniques
Data Warehousing, Data Mining, and Olap
Data Warehousing, Data Mining, and Olap
Microsoft Olap Unleashed
Professional SQL Server 2000 Dts
Professional SQL Server 2000 Dts
McGraw-Hill's Encyclopedia of Networking and Telecommunications
McGraw-Hill's Encyclopedia of Networking and Telecommunications
Building the Data Warehouse,3rd Edition
Building the Data Warehouse,3rd Edition
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Competitive advantage is gained through operational excellence strategy while quality decisions, reviews and plans facilitate the production of quality products through the adoption of best practice as well as reduction of minimal waste and downtime. Efficient data collection with high accuracy is one of the key success factors to generate quality information, which has sufficient ability to transform data into economic value. However, inefficiency and ineffectiveness in the information life-cycle, including activities such as collect, store, use, analyse and share data, are often the common sick symptoms for most organisations. In general, the enterprises spend too much unnecessary resource on data collection and storage, and less on facilitating data analysis and sharing. This paper demonstrates how to analyse, design and develop an object-oriented information management system to re-engineer and improve the existing problems of inefficient data and information flow. In addition, it supports the data and information analysing technique to facilitate the decision-making and manufacturing process improvement. A case study on a manufacturing small and medium-sized enterprise has been conducted with promising results to validate the feasibility of the approach.