Web Mining and Business Intelligence: A Key Factor for Success

TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery Pub Date : 2022-11-15 DOI:10.36647/ttidmkd/02.04.a004

H. M, D. G

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Abstract

The world is evolving with a robust pace which has been an increase the competition and implication of various technological and system-oriented practices and gadgets within business. Web mining and business intelligence are the key examples of the digital tools and practice which helps a business company to analyse data about phenomenon and go with most suited corporate strategy and decisions in business. A huge number of business companies have been already applied the usages of web mining and BI in their business to meet a higher business growth in the worldwide market. Hence, this particular study has been kept its concentration on evaluating role of web mining and BI in the performance and success rate of a company in global periphery. Various definition and concepts of BI and web manning have been discussed within the study. Inductive approach and qualitative data have been taken to perform the overall study while the secondary data collection method has been used to gather various qualitative data within the entire study. The entire study has been found BI and web mining mostly enhance the growth of a company and increase the success rate of a company in the global market. Lastly, the study has been evaluated with sheer amount of insights and all of the discussed extension have been summarized within a certain manner.

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网络挖掘和商业智能:成功的关键因素

世界正在以强劲的步伐发展，这是商业中各种技术和面向系统的实践和小工具的竞争和影响的增加。网络挖掘和商业智能是数字工具和实践的关键例子，它们帮助商业公司分析有关现象的数据，并在商业中采用最适合的公司战略和决策。大量的商业公司已经在他们的业务中应用了web挖掘和BI的用法，以满足全球市场上更高的业务增长。因此，这项特别的研究一直集中在评估网络挖掘和商业智能在全球边缘公司的绩效和成功率中的作用。在研究中讨论了各种BI和web人员的定义和概念。采用归纳法和定性数据进行整体研究，而采用二次数据收集法收集整个研究中的各种定性数据。整个研究发现，BI和web挖掘大多增强了公司的增长，增加了公司在全球市场上的成功率。最后，该研究已经被评估了大量的见解，所有讨论的扩展都以某种方式进行了总结。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery

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