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¿µ¹®Ç¥Áظí Data Management Process
Çѱ۳»¿ë¿ä¾à µ¥ÀÌÅÍ °ü¸® ÇÁ·Î¼¼½ºÀÇ ¸ñÀûÀº °íÇ°ÁúÀÇ µ¥ÀÌÅÍ °ü¸®¸¦ À§ÇÑ Ã¼°èÀûÀÎ ÇÁ·Î¼¼½º¸¦ ÀÌÇؽÃÅ´À¸·Î½á ±â°üÀ̳ª ±â¾÷ÀÇ Á¶Á÷ ȯ°æ¿¡ °¡Àå ÀûÇÕÇÑ ÇüÅ·Πµ¥ÀÌÅÍÀÇ Á¤ÀÇ, Æò°¡, º¯°æ°ú °°Àº ÀÏ·ÃÀÇ ÇÁ·Î¼¼½º¸¦ ¼ö¸³ÇÒ ¼ö ÀÖµµ·Ï Áö¿øÇÔ¿¡ ÀÖ´Ù. ¼¼ºÎ °ü¸® ´ë»óÀ¸·Î´Â µ¥ÀÌÅÍ °ü¸® Á¤Ã¥, µ¥ÀÌÅÍ Ç¥ÁØ °ü¸®, µ¥ÀÌÅÍ ¸ðµ¨ °ü¸®, µ¥ÀÌÅÍ È帧 °ü¸®, DB °ü¸®, µ¥ÀÌÅÍ È°¿ë °ü¸®, ¿ä±¸ »çÇ× °ü¸®ÀÇ 8°¡Áö°¡ ÀÖ´Ù.
¿µ¹®³»¿ë¿ä¾à Data Management Process can support and define a series of data definition, data valuation, data change suitable for institution through understanding systematic data process for high quality data. Data Management Process is categorized into data management policy, data standard, data model, data flow, DB management, DB usage, and user requirement.
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