2023-07-18-Gartner-首席数据和分析官如何领导数据科学和机器学习领域的技能提升计划_15页_311kb

Gartner Summary: How CDAOs Can Lead Upskilling Initiatives in Data Science and Machine Learning

Core Content

This Gartner report outlines the role of Chief Data and Analytics Officers (CDAOs) in leading upskilling initiatives for data science and machine learning (ML) within organizations. It emphasizes the importance of improving data science literacy, fostering collaboration between data scientists and business users, and creating structured development paths for both expert and citizen data scientists.

Main Points

• Talent Gap and Retention Challenges: Despite the hiring boom for data science talent, many organizations still struggle with finding and retaining skilled professionals. CDAOs must focus on internal upskilling to bridge this gap.
• Citizen Data Scientists (CDS): These are individuals who use predictive or prescriptive analytics but are not primarily in the field of statistics or analytics. CDAOs should identify and nurture CDS candidates by matching them with appropriate training and tools.
• Three Stages of Upskilling: The report recommends a three-stage approach for upskilling both CDS candidates and analytics consumers:
  • Stage 1: Foundation and Training – Provide formal education and training on data science and ML.
  • Stage 2: Experimentation and Prototyping – Encourage hands-on experimentation and collaboration with data scientists.
  • Stage 3: Delivery and Operationalization – Support the deployment of models and continuous feedback loops.
• Strategic Planning Assumptions:
  • By 2024, 75% of organizations will establish a centralized data and analytics center of excellence.
  • By 2025, 50% of data scientist activities will be automated, reducing the demand for manual work.
• Importance of Culture and Collaboration: CDAOs must raise ML literacy and awareness across the organization, and promote collaboration between data scientists and business users to drive value.

Key Recommendations for CDAOs

• Raise Awareness and Literacy:
  • Provide centralized educational resources.
  • Showcase internal and external use cases and success stories.
  • Encourage open discussions and gamification of learning.
• Identify and Develop CDS Candidates:
  • Create a skills inventory to identify potential CDS candidates.
  • Match them with suitable upskilling paths and tools.
  • Build interconnected communities of data scientists, CDS candidates, and other ML stakeholders.
• Design Sustainable Education Programs:
  • Develop different upskilling roadmaps for various levels of expertise (analytics consumers, CDS candidates, expert data scientists).
  • Ensure that training is both formal and project-based.
• Support Continuous Development:
  • Encourage expert data scientists to develop leadership and human skills.
  • Create space for independent learning and professional growth.
  • Consider hybrid roles for senior data scientists, but reserve leadership positions for mature operations.

Supporting Evidence

• The 2022 Gartner Chief Data Officer Agenda Survey highlights the importance of CDAOs in driving value, talent, and culture in data-driven organizations.
• The survey included 496 respondents, including CDOs, CDAOs, and business executives, and was conducted from September to November 2021.

Additional Resources

• Lessons From Data Scientists on Their Education and Career Development
• Hype Cycle for Data Science and Machine Learning, 2022
• 3 Steps to Build and Optimize a Portfolio of Analytics, Data Science and Machine Learning Tools
• Top Trends in Data and Analytics, 2022
• Data Literacy Personas to Drive a Data-Driven Culture
• Roles and Skills to Support Advanced Analytics and AI Initiatives

Conclusion

CDAOs play a pivotal role in upskilling initiatives by creating awareness, fostering collaboration, and designing sustainable development paths. By focusing on both expert data scientists and citizen data scientists, organizations can grow their talent pool, enhance data literacy, and drive innovation in data science and machine learning.