Modern Business Intelligence: Big Data Analytics and Artificial Intelligence for Creating the Data-Driven Value

A. A. Gad-Elrab
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引用次数: 2

Abstract

Currently, business intelligence (BI) systems are used extensively in many business areas that are based on making decisions to create a value. BI is the process on available data to extract, analyze and predict business-critical insights. Traditional BI focuses on collecting, extracting, and organizing data for enabling efficient and professional query processing to get insights from historical data. Due to the existing of big data, Internet of Things (IoT), artificial intelligence (AI), and cloud computing (CC), BI became more critical and important process and received more great interest in both industry and academia fields. The main problem is how to use these new technologies for creating data-driven value for modern BI. In this chapter, to meet this problem, the importance of big data analytics, data mining, AI for building and enhancing modern BI will be introduced and discussed. In addition, challenges and opportunities for creating value of data by establishing modern BI processes.
现代商业智能:创造数据驱动价值的大数据分析和人工智能
目前,商业智能(BI)系统广泛应用于许多基于决策创造价值的业务领域。BI是对可用数据进行提取、分析和预测业务关键洞察的过程。传统的BI侧重于收集、提取和组织数据,以实现高效和专业的查询处理,从而从历史数据中获得见解。由于大数据、物联网(IoT)、人工智能(AI)和云计算(CC)的存在,商业智能(BI)变得更加关键和重要,受到了工业界和学术界的极大关注。主要问题是如何使用这些新技术为现代BI创造数据驱动的价值。在本章中,为了解决这个问题,将介绍和讨论大数据分析、数据挖掘、人工智能对构建和增强现代商业智能的重要性。此外,通过建立现代BI流程来创造数据价值的挑战和机遇。
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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