資料結構成熟度指數

本報告研究了企業對資料結構的採用水平，並總結了企業資料結構成熟度指數、企業採用和提高資料結構成熟度所需採取的步驟，以及雲端提供者和資料結構供應商提供的支援解決方案。

實際好處：

• 我們幫助資料結構供應商制定清晰的企業上市策略
• 獲得雲端服務供應商客製化企業雲端服務所需的知識
• 取得如何透過生態系統合作夥伴關係向企業提供 Data Fabric 解決方案的詳細指導

重要問題的答案：

• 企業應採取哪些步驟來全面採用資料結構？
• 企業應採取哪些措施來提高其資料結構的成熟度？
• 雲端採用如何幫助公司利用資料？
• 雲端供應商和資料結構供應商如何幫助企業為採用資料結構做好準備？

研究亮點：

• 詳細分析促使採用 Data Fabric 的不同成熟度級別
• 確定推動公司資料策略的最重要要素，以充分利用其 AI 用例
• 確定企業採用雲端對於加速企業數位轉型的重要性

目錄

主要發現

重大預測

主要公司

資料結構成熟度指數：簡介

深入了解資料結構成熟度等級

雲端在實現資料轉換中的作用

基於資料結構成熟度指數的關鍵建議

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