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cover of episode Danielle Bushen - Demystifying HR Data Governance

Danielle Bushen - Demystifying HR Data Governance

2025/4/17
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HR Data Labs podcast
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People
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Danielle Bushen
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David Teretsky
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Danielle Bushen: HR数据治理的核心在于确保数据反映公司的商业价值主张、员工以及流程，目标是数字化HR职能，实现自动化并优化工作体验。这需要区分交易型HR数据和分析型HR数据，前者要求绝对准确，后者方向正确即可。HR数据治理由HR部门拥有，由流程支持，并由技术实现，但同时也涉及员工、管理者以及价值链中的其他参与者。HR数据治理需要与其他部门（如财务、安全等）协作，因为HR数据与公司其他价值主张息息相关。HR部门在数据治理中扮演着协调者的角色，需要与其他部门沟通，理解并使用共同的语言。面对复杂的合规问题，需要明确具体需要遵守的规定，并寻找创造性的解决方案。 在实践中，HR数据治理的起点是明确数据所有权，确定谁有权对数据字段做出决策。技术选择是次要的，关键在于明确所有权和责任。需要解决主要问题，然后再处理次要问题，例如数据清理等。 在大型组织中，可能需要建立企业数据办公室和数据委员会等机构来协调数据治理工作。在处理员工数据时，需要平衡员工的隐私权和公司的合规义务。需要明确定义关键概念，例如'晋升'、'降职'、'离职原因'等，并确保这些定义与公司政策和法律法规相符。 David Teretsky: HR数据治理是一个复杂的问题，它涉及到许多不同的方面，包括合规性、数据安全、数据分析等等。在进行HR数据治理项目时，应优先解决主要问题，然后再处理次要问题。 HR数据治理需要跨部门协作，需要与财务、IT、法律等部门合作。在处理员工数据时，需要平衡员工的隐私权和公司的合规义务。 Excel等工具虽然方便易用，但也存在数据安全风险，需要谨慎使用。 Dwight Brown: HR数据治理是一个持续改进的过程，需要不断地学习和适应新的技术和法规。 在进行HR数据治理时，需要考虑不同司法管辖区之间法规的差异，并制定相应的策略。 需要教育员工和管理者，让他们了解数据治理的重要性，并参与到数据治理过程中。

Deep Dive

Chapters
HR data governance ensures data reflects business value, digitizes HR, and automates processes. It focuses on both transactional (exact) and analytical (directionally correct) data. It's owned by people in HR, supported by processes, and enabled by technology, requiring continuous updates to keep up with evolving HR systems.
  • HR data governance is about making sure that your data reflects the business value propositions of the company
  • It's owned by people, supported by process and enabled by technology
  • All major HR systems are making releases every six months, maybe more often

Shownotes Transcript

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Danielle Bushen, Global Head of People & Culture Technology Strategy at Sanofi, joins us this episode to discuss HR data governance. She explains what “data governance” actually means, outlines common data governance challenges HR teams face, and offers practical first steps toward better governance practices. 

[0:00] Introduction

  • Welcome, Danielle!
  • Today’s Topic: Demystifying HR Data Governance

[5:54] What does “data governance” actually mean?

  • Understanding transactional vs. analytical HR data
  • Why cross-team interoperability and collaboration are key

[16:58] What are common HR data governance challenges?

  • Navigating the complexity of balancing multiple jurisdictions
  • How the lack of standardized practices creates governance headaches

[27:15] Where do you start your data governance journey?

  • Establishing clear data ownership
  • When to address urgent issues before tackling comprehensive data cleanup

[36:28] Closing

  • Thanks for listening!

Quick Quote

“[Data governance] is owned by people, enabled by processes, and supported by technology.”

**Contacts: **

Danielle's LinkedIn)David's LinkedIn)Dwight's LinkedIn)Email us!)

For more HR Data Labs®, enjoy the HR Data Labs Brown Bag Lunch Hours every Friday at 2:00PM-2:30PM EST.  Check it out here: https://hrdatalabs.com/brown-bag-lunch/

****Production by Affogato Media)