[companyName]을 위한 데이터 생태계 관리 마스터하기

이 프롬프트는 [companyName]의 운영 효율성과 혁신 역량을 강화하는 강력한 데이터 생태계를 구축하는 방법에 대해 안내합니다.

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1. Define the current state of [companyName]'s data ecosystem, including available data sources, tools, and platforms. 
2. Identify the key data stakeholders within [companyName] and their specific data needs and expectations. 
3. Assess the data governance framework at [companyName], focusing on data quality, security, and compliance standards. 
4. Determine the critical data flows within [companyName], mapping out how data moves and is processed across departments. 
5. Highlight the existing challenges in [companyName]'s data ecosystem, such as data silos, quality issues, or lack of integration. 
6. Set clear objectives for optimizing [companyName]'s data ecosystem to support strategic goals such as improving decision-making or accelerating innovation. 
7. Develop a roadmap for integrating new data sources, technologies, and analytics capabilities into [companyName]'s data ecosystem. 
8. Establish metrics and KPIs to monitor the performance and improvement of [companyName]'s data ecosystem over time.

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