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BI Approach for Business Performance

机译:BI方法进行商业绩效

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New low-cost data storage technologies and the vast availability of Internet connection facilitated access at large quantities of data for both individuals and firms. The importance of real time access to important information for the success of a business is crucial. Its importance has continually risen, based on Internet development and growing sources of information. As a result, firms collected huge quantities of data in their effort to understand their business evolution, enhance their performance and create a strong relationship with the employees, clients and partners. Exploiting that storage data is difficult, from transforming it into meaningful data, until its use in order to increase firm's competitiveness. Usually, in a firm, data are dispersed in a large variety of systems, many companies having difficulties in organizing and interpreting them. These companies own fragmented tools and data, the final image of the business being an incomplete one. Their accessibility promises the opening of many prospects and raises a tempting question: is it possible to convert data in information and knowledge which that the decision factor can use in order to help and improve firms and public administrations management? In this paper we present the actual state of business intelligent systems, global and local. Sustaining this argument, we propose a model of business intelligence (BI), building a data warehouse and using some analysis tools, in order to monitor and count the web traffic from both the visitor prospective, as well as from the website's prospective. We underline the importance of relative new business tools (such as BI), combined with some modern performance management techniques in order to increase a firm's competitiveness.
机译:新的低成本的数据存储技术与互联网连接的巨大可用性在大量的为个人和企业数据的便利访问。实时获取重要信息,一个企业的成功的重要性是至关重要的。它的重要性不断提高,基于Internet的发展和信息不断增长的来源。其结果是,企业在他们的努力,以了解他们的业务发展,提高其性能,并创建与员工,客户和合作伙伴提供强有力的关系,收集大量的数据。利用这样存储的数据是困难的,从将其转化为有意义的数据,直到其以增加企业的竞争力的使用。通常,在一个企业中,数据分散在大量不同的系统,很多企业具有组织和解释他们的困难。这些公司拥有零散的工具和数据,企业的是一个不完整的一个最终图像。他们的无障碍承诺许多潜在的开启和提出了一个诱人的问题:是否有可能把数据转换在信息和知识的决定因素可以使用以便帮助和提高企业和公共管理部门的管理?在本文中,我们提出的业务智能系统,全球和本地的实际状态。维持这样的说法,我们提出了商业智能(BI),构建数据仓库,并使用一些分析工具,模型,以前瞻性,以及来自该网站的前瞻性监控和计数来自访问者的网络流量。我们强调以增加企业的竞争力相对较新的业务工具的重要性(如BI),用一些现代的绩效管理技术相结合。

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