Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)
ÇѱÛÁ¦¸ñ(Korean Title) |
¼º°øÀûÀÎ eCRM£¬ CRMÀ» À§ÇÑ µ¥ÀÌÅÍ ¸¶ÀÌ´× ±â¹ý |
¿µ¹®Á¦¸ñ(English Title) |
Datamining technique for successful eCRM, CRM |
ÀúÀÚ(Author) |
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Rae-Goo Kang
Hee-Kyoung Lim
Chai-Yeoung Jung
|
¿ø¹®¼ö·Ïó(Citation) |
VOL 10 NO. 09 PP. 1596 ~ 1601 (2006. 09) |
Çѱ۳»¿ë (Korean Abstract) |
°í°´°ü¸®°¡ ±â¾÷ÀÇ ¼ºÆи¦ Á¿ìÇÏ´Â Áß¿äÇÑ ÈµÎ·Î ¶°¿À¸£¸é¼ º¸´Ù ½±°í Æí¸®ÇÏ°Ô °í°´ÀÇ ´Ù¾çÇÑ ÆÐÅÏÀ» ¹ß°ß ÇÏ°í ¿¹ÃøÇϱâ À§ÇØ ¸¹Àº ±â¾÷µéÀÌ CRM°ú eCRMÀ» ºü¸£°Ô µµÀÔÇÏ°í ÀÖ´Ù. °ú°Å¿£ °í°´°ü¸®°¡ Åë°èÇÐÀÚµéÀ̳ª Àü¹®ÀûÀÎ Åë°èÆÐÅ°Áö¿¡ ÀÇÇØ °ü¸®µÇ¾î ¿ÔÀ¸³ª Á¤º¸Åë½Å ºÐ¾ßÀÇ ±Þ°ÝÇÑ ¹ß´ÞÀ» ±â¹ÝÀ¸·Î Åë°èÀû °úÁ¤À» ÀÚµ¿È½ÃŲ µ¥ÀÌÅ͸¶ÀÌ´× ±â¹ýÀ¸·Î Á¡Á¡ ´ëüµÇ°í ÀÖ´Â Ãß¼¼ÀÌ´Ù. ÀÌ·¯ÇÑ µ¥ÀÌÅ͸¶ÀÌ´×ÀÌ ´ëÇ¥ÀûÀ¸·Î ÀÌ¿ëµÇ°í ÀÖ´Â ºÐ¾ß°¡ CRM, eCRMÀÌ´Ù. º» ³í¹®¿¡¼´Â AÇÒÀÎÁ¡ÀÇ °í°´ µ¥ÀÌÅÍ¿Í 2004³âµµ ¸ÅÃâ µ¥ÀÌÅ͸¦ ±â¹ÝÀ¸·Î À¯ÀüÀÚ ¾Ë°í¸®ÁòÀ» ÀÌ¿ëÇÑ µ¥ÀÌÅ͸¶ÀÌ´×À» ÅëÇØ 2005³âµµ ¿ì¼ö °í°´À» ¿¹ÃøÇÏ¿´°í ½ÇÁ¦ °í°´ µ¥ÀÌÅÍ¿ÍÀÇ ºñ±³¸¦ ÅëÇØ µ¥ÀÌÅ͸¶ÀÌ´×ÀÌ eCRM¿¡ ¾ó¸¶³ª È¿°úÀû ÀÎÁö¸¦ ÀÔÁõÇÏ¿´´Ù. |
¿µ¹®³»¿ë (English Abstract) |
To customer management finds and forecast customer¡¯s various pattern more easily and conveniently rising by important topic that control corporation¡¯s success and failure, many corporations are introducing CRM and eCRM fast. At past, customer management had been managed by statisticians or special statistics package but it is trend been alternating gradually by datamining technique to do to computerize statistics process based on sudden development of IT. Field that this datamining is used representatively is CRM, eCRM. This paper applied datamining using GA referencing customer data of discount store and sale data of 2004 years. Forecasted 2005 years melancholy customer by datamining and proved datamining through comparison with actuality customer data is how effective to eCRM. |
Å°¿öµå(Keyword) |
µ¥ÀÌÅÍ ¸¶ÀÌ´×£¬°í°´°ü°è°ü¸®£¬eCRM
CRM
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