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...
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| Published in: | Оптико-електронні інформаційно-енергетичні технології |
|---|---|
| Date: | 2009 |
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
2009
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| Subjects: | |
| Online Access: | https://nasplib.isofts.kiev.ua/handle/123456789/32216 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | 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. |
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Digital Library of Periodicals of National Academy of Sciences of Ukraine| _version_ | 1862556308906967040 |
|---|---|
| author | Danubianu, Mirela Stanica, Anca Maria |
| author_facet | Danubianu, Mirela Stanica, Anca Maria |
| 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. |
| collection | DSpace DC |
| container_title | 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.
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| first_indexed | 2025-11-25T22:40:41Z |
| format | Article |
| fulltext | |
| id | nasplib_isofts_kiev_ua-123456789-32216 |
| institution | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| issn | 1681-7893 |
| language | English |
| last_indexed | 2025-11-25T22:40:41Z |
| publishDate | 2009 |
| publisher | Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України |
| record_format | dspace |
| spelling | Danubianu, Mirela Stanica, Anca Maria 2012-04-14T18:33:00Z 2012-04-14T18:33:00Z 2009 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 https://nasplib.isofts.kiev.ua/handle/123456789/32216 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. en Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України Оптико-електронні інформаційно-енергетичні технології Методи та системи оптико-електронної і цифрової обробки зображень та сигналів Study of improving the customer relationship management by data mining applications Article published earlier |
| spellingShingle | 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 |
| title | 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_short | Study of improving the customer relationship management by data mining applications |
| title_sort | study of improving the customer relationship management by data mining applications |
| topic | Методи та системи оптико-електронної і цифрової обробки зображень та сигналів |
| topic_facet | Методи та системи оптико-електронної і цифрової обробки зображень та сигналів |
| url | https://nasplib.isofts.kiev.ua/handle/123456789/32216 |
| work_keys_str_mv | AT danubianumirela studyofimprovingthecustomerrelationshipmanagementbydataminingapplications AT stanicaancamaria studyofimprovingthecustomerrelationshipmanagementbydataminingapplications |