½ÃÀ庸°í¼­
»óǰÄÚµå
1626023

µ¥ÀÌÅÍ ÆÐºê¸¯ ¼º¼÷µµ Áö¼ö

Data Fabric Maturity Index

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: ABI Research | ÆäÀÌÁö Á¤º¸: ¿µ¹® 20 Pages | ¹è¼Û¾È³» : 1-2ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    



¡Ø º» »óǰÀº ¿µ¹® ÀÚ·á·Î Çѱ۰ú ¿µ¹® ¸ñÂ÷¿¡ ºÒÀÏÄ¡ÇÏ´Â ³»¿ëÀÌ ÀÖÀ» °æ¿ì ¿µ¹®À» ¿ì¼±ÇÕ´Ï´Ù. Á¤È®ÇÑ °ËÅ並 À§ÇØ ¿µ¹® ¸ñÂ÷¸¦ Âü°íÇØÁֽñ⠹ٶø´Ï´Ù.

ÀÌ º¸°í¼­´Â ±â¾÷ÀÇ µ¥ÀÌÅÍ ÆÐºê¸¯ µµÀÔ ¼öÁØÀ» Á¶»çÇϰí, ±â¾÷ÀÇ µ¥ÀÌÅÍ ÆÐºê¸¯ ¼º¼÷µµ Áö¼ö, ±â¾÷ÀÇ µ¥ÀÌÅÍ ÆÐºê¸¯ µµÀÔ ¹× ¼º¼÷µµ Çâ»ó¿¡ ÇÊ¿äÇÑ ´Ü°è, Ŭ¶ó¿ìµå Á¦°ø¾÷ü¿Í µ¥ÀÌÅÍ ÆÐºê¸¯ º¥´õÀÇ Áö¿ø ¼Ö·ç¼Ç µîÀ» Á¤¸®Çß½À´Ï´Ù.

½Ç¿ëÀûÀÎ ÀåÁ¡:

  • µ¥ÀÌÅÍ ÆÐºê¸¯ º¥´õ°¡ ¸íÈ®ÇÑ ±â¾÷ GTM(Go-to-Market) Àü·«À» Á¤ÀÇÇÒ ¼ö ÀÖµµ·Ï Áö¿øÇÕ´Ï´Ù.
  • Ŭ¶ó¿ìµå ¼­ºñ½º Á¦°ø¾÷ü°¡ ¿£ÅÍÇÁ¶óÀÌÁî Ŭ¶ó¿ìµå ¼­ºñ½º¸¦ Ä¿½ºÅ͸¶ÀÌ¡ÇÏ´Â µ¥ ÇÊ¿äÇÑ Áö½ÄÀ» ½ÀµæÇÒ ¼ö ÀÖ½À´Ï´Ù.
  • »ýÅÂ°è ÆÄÆ®³Ê½ÊÀ» ÅëÇØ µ¥ÀÌÅÍ ÆÐºê¸¯ ¼Ö·ç¼ÇÀ» ±â¾÷¿¡ Á¦°øÇÏ´Â ¹æ¹ý¿¡ ´ëÇÑ ÀÚ¼¼ÇÑ °¡À̵带 ¾òÀ» ¼ö ÀÖ½À´Ï´Ù.

Áß¿äÇÑ Áú¹®¿¡ ´ëÇÑ ´äº¯ :

  • µ¥ÀÌÅÍ ÆÐºê¸¯À» º»°ÝÀûÀ¸·Î µµÀÔÇϱâ À§ÇØ ±â¾÷Àº ¾î¶² Á¶Ä¡¸¦ ÃëÇØ¾ß Çϴ°¡?
  • µ¥ÀÌÅÍ ÆÐºê¸¯ÀÇ ¼º¼÷µµ¸¦ ³ôÀ̱â À§ÇØ ±â¾÷Àº ¾î¶² Á¶Ä¡¸¦ ÃëÇØ¾ß Çϴ°¡?
  • Ŭ¶ó¿ìµå µµÀÔÀÌ ±â¾÷ÀÇ µ¥ÀÌÅÍ È°¿ëÀ» ¾î¶»°Ô µµ¿ï ¼ö ÀÖÀ»±î?
  • Ŭ¶ó¿ìµå Á¦°ø¾÷ü¿Í µ¥ÀÌÅÍ ÆÐºê¸¯ °ø±Þ¾÷ü´Â ±â¾÷ÀÌ µ¥ÀÌÅÍ ÆÐºê¸¯ µµÀÔÀ» ÁغñÇÏ´Â µ¥ ¾î¶»°Ô µµ¿òÀ» ÁÙ ¼ö ÀÖÀ»±î?

Á¶»ç ÇÏÀ̶óÀÌÆ®:

  • µ¥ÀÌÅÍ ÆÐºê¸¯ µµÀÔÀ¸·Î À̾îÁö´Â ´Ù¾çÇÑ ¼º¼÷µµ ¼öÁØ¿¡ ´ëÇÑ »ó¼¼ ºÐ¼®
  • AI Ȱ¿ë »ç·Ê¸¦ ÃÖ´ëÇÑ È°¿ëÇϱâ À§ÇØ ±â¾÷ µ¥ÀÌÅÍ Àü·« ÃßÁøÀÇ °¡Àå Áß¿äÇÑ ¿ä¼Ò ÆÄ¾Ç
  • ±â¾÷ÀÇ µðÁöÅÐÈ­¸¦ ÃËÁøÇϱâ À§ÇÑ ±â¾÷ Ŭ¶ó¿ìµå µµÀÔÀÇ Á߿伺 È®ÀÎ

¸ñÂ÷

ÁÖ¿ä Á¶»ç °á°ú

ÁÖ¿ä ¿¹Ãø

ÁÖ¿ä ±â¾÷

µ¥ÀÌÅÍ ÆÐºê¸¯ ¼º¼÷µµ Áö¼ö : ¼­·Ð

µ¥ÀÌÅÍ ÆÐºê¸¯ ¼º¼÷µµ ·¹º§ »ó¼¼

µ¥ÀÌÅÍ Æ®·£½ºÆ÷¸ÞÀ̼ÇÀ» ½ÇÇöÇϴ Ŭ¶ó¿ìµå ¿ªÇÒ

µ¥ÀÌÅÍ ÆÐºê¸¯ ¼º¼÷µµ Áö¼ö¿¡ ±Ù°ÅÇÑ ÁÖ¿ä Ãßõ »çÇ×

LSH 25.01.24

Actionable Benefits:

  • Help data fabric vendors define a clear enterprise Go-to-Market (GTM) strategy.
  • Equip cloud service providers with the necessary knowledge to tailor their enterprise cloud offerings.
  • Detailed guidance on how ecosystem partnerships can deliver data fabric solutions to enterprises.

Critical Questions Answered:

  • What are the different steps that enterprises must go through to prepare for full-scale date fabric deployments?
  • What steps do enterprises need to take to advance their data fabric maturity level?
  • How can cloud adoption assist enterprises with making better use of their data?
  • How can cloud providers and data fabric vendors assist enterprises with preparing for data fabric deployments?

Research Highlights:

  • Detailed analysis of the different maturity levels that lead to data fabric deployments.
  • Identify the most critical elements to advance enterprise verticals data strategies to make full use of AI use cases.
  • Highlight the importance of enterprise cloud adoption to fuel enterprise digitization.

Who Should Read This?

  • Decision makers within cloud service providers who are looking at tailoring their offering for enterprises.
  • Lead strategists within data integration/data fabric vendors who want to increase the commercial traction of their solution.
  • Product development managers within data integration & DataOps vendors charged with overcoming technical hurdles and designing products that balance flexibility with scalability.

TABLE OF CONTENTS

Key Findings

Key Forecasts

Key Companies

Introducing the Data Fabric Maturity Index

A Closer Look at Data Fabric Maturity Levels

The Role of the Cloud in Achieving Data Transformation

Key Recommendations Based on the Data Fabric Maturity Index

ºñ±³¸®½ºÆ®
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
»óǰ ºñ±³Çϱâ
Àüü»èÁ¦