Towards an information warehouse digging for gold

Wim Scholten
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引用次数: 3

Abstract

With computerized systems like LIMS a lot of data is gathered to support the day to day work in laboratories. Those data contain a lot of information which could be used to analyze working processes in laboratories and to take better based decisions. However the accessibility of the data is poor. A fair amount of technical automation know how is a must. Mostly the support of people from the EDP-department is necessary to get the data available. In practice it means the available information is not really used. The existence of more business needs is known. What about the possibilities to get information from the combined data from LIMS, purchasing systems and logistical systems. The analysis of chains of business processes, improving those chains and to be able to take decisions based upon facts on this chains have an even higher added value than the information hidden within the technical secrets of LIMS. The use of the principles of an Information Warehouse promises to be a solution for this kind of business needs. The paper discusses the different types of Information Warehouses and shows how an Information Warehouse can be realized.

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走向挖掘黄金的信息仓库
通过像LIMS这样的计算机化系统,可以收集大量数据来支持实验室的日常工作。这些数据包含大量信息,可用于分析实验室的工作过程,并做出更好的决策。然而,数据的可访问性很差。必须具备相当数量的技术自动化技术。大多数情况下,EDP部门人员的支持是获得可用数据所必需的。在实践中,这意味着可用信息没有被真正使用。更多商业需求的存在是众所周知的。从LIMS、采购系统和物流系统的综合数据中获取信息的可能性如何。对业务流程链的分析,改进这些链,并能够根据这些链上的事实做出决策,比LIMS技术秘密中隐藏的信息具有更高的附加值。信息仓库原则的使用有望成为此类业务需求的解决方案。本文讨论了不同类型的信息仓库,并展示了如何实现信息仓库。
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Preface Publisher's note Data acquisition, analysis and processing Optimization of laboratory experiments Author index volume 34
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