Establishing a Secure and Scalable Architecture for Employee Experience Analytics

Wednesday, February 28, 2024, 2:00 PM - 2:30 PM
Presentation
Followed by live audience Q&A
Learn how we built a secure and scalable framework specifically tailored for employee experience analytics. Through discussing the integration and protection of sensitive employee data, including engagement surveys and performance metrics, learn how a solid data architecture underpins the successful application of analytics and AI in enhancing EX. This approach ensures a secure, insightful analysis that directly contributes to improved employee satisfaction and engagement strategies.
Focusing on secure, scalable data architecture for EX analytics is vital for ensuring data privacy, maintaining quality, and enabling adaptability. It underpins compliance, fosters trust, and facilitates personalised employee experiences through AI-driven insights, thereby enhancing engagement and satisfaction—key for leveraging analytics and AI in improving the employee experience efficiently and ethically.

This session will explore:

  • The challenge of growing through Mergers and Acquisitions
  • Our 3 pillars of employee data architecture
  • Robust governance and security design
  • Making it real for the employee
  • Advocacy and driving adoption.

Learning outcomes:

  • Strategies to navigate the challenges of M A to maintain a unified and effective EX analytics approach
  • How to structure data for scalability, integration, and insight generation
  • How to implement robust governance and security
  • How to build advocacy among leadership and employees to ensure the successful deployment and utilisation of the analytics platform.