资料结构成熟度指数

本报告研究了企业对资料结构的采用水平，并总结了企业资料结构成熟度指数、企业采用和提高资料结构成熟度所需采取的步骤，以及云端提供者和资料结构供应商提供的支援解决方案。

实际好处：

• 我们帮助资料结构供应商制定清晰的企业上市策略
• 获得云端服务供应商客製化企业云端服务所需的知识
• 取得如何透过生态系统合作伙伴关係向企业提供 Data Fabric 解决方案的详细指导

重要问题的答案：

• 企业应采取哪些步骤来全面采用资料结构？
• 企业应采取哪些措施来提高其资料结构的成熟度？
• 云端采用如何帮助公司利用资料？
• 云端供应商和资料结构供应商如何帮助企业为采用资料结构做好准备？

研究亮点：

• 详细分析促使采用 Data Fabric 的不同成熟度级别
• 确定推动公司资料策略的最重要要素，以充分利用其 AI 用例
• 确定企业采用云端对于加速企业数位转型的重要性

目录

主要发现

重大预测

主要公司

资料结构成熟度指数：简介

深入了解资料结构成熟度等级

云端在实现资料转换中的作用

基于资料结构成熟度指数的关键建议

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