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BI Approach for Business Performance

机译:商业绩效的商业智能方法

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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:新的低成本数据存储技术和广泛的Internet连接便利了个人和公司访问大量数据。实时访问重要信息对于企业成功的重要性至关重要。基于Internet的发展和信息源的不断增长,其重要性不断提高。结果,企业收集了大量数据,以了解其业务发展,提高绩效并与员工,客户和合作伙伴建立牢固的关系。利用存储数据非常困难,从将其转换为有意义的数据,直到使用它以提高公司的竞争力为止。通常,在一家公司中,数据分散在各种各样的系统中,许多公司在组织和解释它们时遇到困难。这些公司拥有分散的工具和数据,最终的业务形象是不完整的。它们的可访问性带来了许多前景,并引发了一个诱人的问题:是否有可能将信息转换为决策因素可以用来帮助和改善公司和公共行政管理的信息和知识中的数据?在本文中,我们介绍了全球和本地业务智能系统的实际状态。为了支持这一论点,我们提出了一种商业智能(BI)模型,它建立了一个数据仓库并使用了一些分析工具,以便监视和统计来自潜在访客以及来自潜在访客的Web流量。我们强调了相对新的业务工具(例如BI)的重要性,并结合了一些现代绩效管理技术以提高公司的竞争力。

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