Study of improving the customer relationship management by data mining applications
Companies must survive in a market, where are a lot of products and competitors which compete to gain the customers. In a such market there are some factors which influences the growing of the complexity of customer relationships. Some of these factors are: the compression of the marketing cycle tim...
Збережено в:
| Дата: | 2009 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
2009
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| Назва видання: | Оптико-електронні інформаційно-енергетичні технології |
| Теми: | |
| Онлайн доступ: | http://dspace.nbuv.gov.ua/handle/123456789/32216 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | Study of improving the customer relationship management by data mining applications / Mirela Danubianu, Anca Maria Stanica // Оптико-електронні інформаційно-енергетичні технології. — 2009. — № 1 (17). — С. 55-58. — Бібліогр.: 12 назв. — англ. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| id |
irk-123456789-32216 |
|---|---|
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dspace |
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irk-123456789-322162012-04-15T12:13:29Z Study of improving the customer relationship management by data mining applications Danubianu, Mirela Stanica, Anca Maria Методи та системи оптико-електронної і цифрової обробки зображень та сигналів Companies must survive in a market, where are a lot of products and competitors which compete to gain the customers. In a such market there are some factors which influences the growing of the complexity of customer relationships. Some of these factors are: the compression of the marketing cycle times, the increasing of marketing costs, the avalanche of new products offering and the existence of niche competitors. The companies must react quickly to the challenges of these factors, reaction which consist in the right offer to the right person at the right time trough the right channel. CRM involves new ways of interacting with the customers which promises higher returns on investments for businesses by enhancing customer-oriented processes such as sales, marketing, and customer service. Data mining- techniques for automate detecting of relevant patterns in databases- helps companies build personal and profitable customer relationships by identifying and anticipating the needs of customers throughout the customer lifecycle. 2009 Article Study of improving the customer relationship management by data mining applications / Mirela Danubianu, Anca Maria Stanica // Оптико-електронні інформаційно-енергетичні технології. — 2009. — № 1 (17). — С. 55-58. — Бібліогр.: 12 назв. — англ. 1681-7893 http://dspace.nbuv.gov.ua/handle/123456789/32216 en Оптико-електронні інформаційно-енергетичні технології Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України |
| institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| collection |
DSpace DC |
| language |
English |
| topic |
Методи та системи оптико-електронної і цифрової обробки зображень та сигналів Методи та системи оптико-електронної і цифрової обробки зображень та сигналів |
| spellingShingle |
Методи та системи оптико-електронної і цифрової обробки зображень та сигналів Методи та системи оптико-електронної і цифрової обробки зображень та сигналів Danubianu, Mirela Stanica, Anca Maria Study of improving the customer relationship management by data mining applications Оптико-електронні інформаційно-енергетичні технології |
| description |
Companies must survive in a market, where are a lot of products and competitors which compete to gain the customers. In a such market there are some factors which influences the growing of the complexity of customer relationships. Some of these factors are: the compression of the marketing cycle times, the increasing of marketing costs, the avalanche of new products offering and the existence of niche competitors. The companies must react quickly to the challenges of these factors, reaction which consist in the right offer to the right person at the right time trough the right channel. CRM involves new ways of interacting with the customers which promises higher returns on investments for businesses by enhancing customer-oriented processes such as sales, marketing, and customer service. Data mining- techniques for automate detecting of relevant patterns in databases- helps companies build personal and profitable customer relationships by identifying and anticipating the needs of customers throughout the customer lifecycle. |
| format |
Article |
| author |
Danubianu, Mirela Stanica, Anca Maria |
| author_facet |
Danubianu, Mirela Stanica, Anca Maria |
| author_sort |
Danubianu, Mirela |
| title |
Study of improving the customer relationship management by data mining applications |
| title_short |
Study of improving the customer relationship management by data mining applications |
| title_full |
Study of improving the customer relationship management by data mining applications |
| title_fullStr |
Study of improving the customer relationship management by data mining applications |
| title_full_unstemmed |
Study of improving the customer relationship management by data mining applications |
| title_sort |
study of improving the customer relationship management by data mining applications |
| publisher |
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України |
| publishDate |
2009 |
| topic_facet |
Методи та системи оптико-електронної і цифрової обробки зображень та сигналів |
| url |
http://dspace.nbuv.gov.ua/handle/123456789/32216 |
| citation_txt |
Study of improving the customer relationship management by data mining applications / Mirela Danubianu, Anca Maria Stanica // Оптико-електронні інформаційно-енергетичні технології. — 2009. — № 1 (17). — С. 55-58. — Бібліогр.: 12 назв. — англ. |
| series |
Оптико-електронні інформаційно-енергетичні технології |
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AT danubianumirela studyofimprovingthecustomerrelationshipmanagementbydataminingapplications AT stanicaancamaria studyofimprovingthecustomerrelationshipmanagementbydataminingapplications |
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2023-10-18T17:34:14Z |
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