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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd">
<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2518-1092</journal-id><journal-title-group><journal-title>Research result. Information technologies</journal-title></journal-title-group><issn pub-type="epub">2518-1092</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2518-1092-2017-2-4-21-29</article-id><article-id pub-id-type="publisher-id">1262</article-id><article-categories><subj-group subj-group-type="heading"><subject>SYSTEM ANALYSIS AND PROCESSING OF KNOWLEDGE</subject></subj-group></article-categories><title-group><article-title>ALGORITHM FOR CHOICE OF CRM SYSTEM TO IMPROVE CUSTOMER INTERACTION</article-title><trans-title-group xml:lang="en"><trans-title>ALGORITHM FOR CHOICE OF CRM SYSTEM TO IMPROVE CUSTOMER INTERACTION</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Chmireva</surname><given-names>Elena Vladimirovna</given-names></name><name xml:lang="en"><surname>Chmireva</surname><given-names>Elena Vladimirovna</given-names></name></name-alternatives><email>chmireva@bsu.edu.ru</email></contrib></contrib-group><pub-date pub-type="epub"><year>2017</year></pub-date><volume>2</volume><issue>4</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/information/2017/4/IT_3.pdf" /><abstract xml:lang="ru"><p>Practical experience shows that today, both in Russia and abroad, there is no perfect way to help&amp;nbsp;choose the optimal system for managing customer information. Manufacturing companies CRM&amp;nbsp;create their own methods and techniques, ultimately aimed at using CRM, which they are&amp;nbsp;developed. As a result, there are a lot of systems and methods, and choosing the best option for&amp;nbsp;the organization is more and more difficult.&amp;nbsp;For today in Russia and abroad there is no perfect way, helping to choose the optimum ready&amp;nbsp;system of information management about clients. An obligatory and necessary condition for&amp;nbsp;choosing the optimal CRM-system is clarity and understanding of the tasks that the company&amp;nbsp;wants to solve. The article examines the algorithm for choosing a CRM-system using qualitative&amp;nbsp;and quantitative analysis methods to obtain a concrete justification for making a decision.&amp;nbsp;Qualitative analysis will identify possible criteria for selecting a CRM-system. Quantitative&amp;nbsp;analysis allows you to determine the quantitative ratio of components in the analyzed object. At&amp;nbsp;the final stage of choosing a CRM system, based on the selected criteria, you can use the&amp;nbsp;hierarchy analysis method to compare previously selected systems.</p></abstract><trans-abstract xml:lang="en"><p>Practical experience shows that today, both in Russia and abroad, there is no perfect way to help&amp;nbsp;choose the optimal system for managing customer information. Manufacturing companies CRM&amp;nbsp;create their own methods and techniques, ultimately aimed at using CRM, which they are&amp;nbsp;developed. As a result, there are a lot of systems and methods, and choosing the best option for&amp;nbsp;the organization is more and more difficult.&amp;nbsp;For today in Russia and abroad there is no perfect way, helping to choose the optimum ready&amp;nbsp;system of information management about clients. An obligatory and necessary condition for&amp;nbsp;choosing the optimal CRM-system is clarity and understanding of the tasks that the company&amp;nbsp;wants to solve. The article examines the algorithm for choosing a CRM-system using qualitative&amp;nbsp;and quantitative analysis methods to obtain a concrete justification for making a decision.&amp;nbsp;Qualitative analysis will identify possible criteria for selecting a CRM-system. Quantitative&amp;nbsp;analysis allows you to determine the quantitative ratio of components in the analyzed object. At&amp;nbsp;the final stage of choosing a CRM system, based on the selected criteria, you can use the&amp;nbsp;hierarchy analysis method to compare previously selected systems.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>CRM system</kwd><kwd>interaction with customers</kwd><kwd>the business criteria</kwd></kwd-group><kwd-group xml:lang="en"><kwd>CRM system</kwd><kwd>interaction with customers</kwd><kwd>the business criteria</kwd></kwd-group></article-meta></front><back /></article>