Analyzing sales to generate strategies with IBM Cognos Analytics

Jesús Abraham Castorena-Peña, Alicia Elena Silva-Avila, Alma Jovita Domínguez-Lugo, J. Martínez-Castro
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Abstract

In recent years, with the advent of the internet of things (IOT), computers and information technology (IT), small and medium-sized enterprises (SMEs) have been immersed in a cluster of information difficult to analyze in a conventional way which provides value that can ensure its permanence and survival in the market. Therefore, it is important to make use of data mining technology tools and statistical techniques that help analyze and better understand the information generated by sales processes, through a thorough analysis of the data. For this research, the IBM Cognos Analytic tool was used, which provides a predictive data visualization and analysis service that can be used to determine patterns, relationships, associations and meaning of a large set of data quickly and in a timely manner. Likewise, statistical techniques such as correlation and simple linear regression were used to establish the behavior of the company's product demand in the marketing, manufacturing and importation of the cleaning product sector.
使用IBM Cognos Analytics分析销售以生成策略
近年来,随着物联网(IOT)、计算机和信息技术(IT)的出现,中小企业(SMEs)已经沉浸在一个传统方式难以分析的信息集群中,这些信息提供了能够确保其在市场中持久生存的价值。因此,重要的是要利用数据挖掘技术工具和统计技术,通过对数据的彻底分析,帮助分析和更好地理解销售过程中产生的信息。在本研究中,使用了IBM Cognos Analytic工具,该工具提供了预测性数据可视化和分析服务,可用于快速及时地确定大量数据的模式、关系、关联和含义。同样,统计技术,如相关和简单的线性回归被用来建立公司的产品需求的行为在营销,制造和清洁产品部门的进口。
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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