The Need for Decision-Grade Data with Ingentis cover art

The Need for Decision-Grade Data with Ingentis

The Need for Decision-Grade Data with Ingentis

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How can HR leaders build trustworthy organizational data that supports workforce planning, succession planning, and AI-powered decision-making?

In this episode of 600 Seconds in HR Tech, Stacia Garr sits down with Dr. Timo Sandritter, Global President and Executive Board Member of Ingentis, to explore why organizational design is becoming a critical foundation for effective workforce planning and AI adoption.

The conversation examines how organizations can move beyond fragmented workforce data, why "decision-grade data" matters more than perfect data, and how organizational design can help leaders better future workforce needs. Timo also shares his perspective on the growing convergence of workforce planning and organizational design, and why AI is only as valuable as the data foundation beneath it.

As Timo explains, "The goal is not perfect data. The goal is decision-grade data."

QUESTIONS ANSWERED
How does organizational design improve succession planning?
According to Timo, organizational design helps make succession planning visible, structural, and actionable. Rather than simply asking who is on a succession list, organizations can identify areas of organizational risk, model potential leadership changes, and understand the downstream impact of succession decisions across the business.

Why are workforce planning and organizational design converging?
Workforce planning helps organizations determine what capabilities and capacity they need, while organizational design determines how those capabilities should be structured to drive performance. As business environments become more dynamic, organizations increasingly need both disciplines working together to make effective workforce decisions.

What role should AI play in organizational decision-making?
AI should support leaders by helping them make more informed decisions, not replace leadership judgment. However, AI is only effective when it is built on a strong data foundation. Organizations must understand the quality, limitations, and governance of the data powering AI recommendations before relying on those insights.

TIMESTAMPS
00:00 – Introduction to Ingentis and organizational data foundations
00:48 – Why trust is the starting point for AI initiatives
02:12 – The concept of decision-grade data explained
05:41 – How organizational data supports better leadership decisions
07:45 – Why an organizational design company is focused on succession planning
09:20 – Moving from succession lists to organizational risk management
11:50 – Workforce planning and organizational design working together
13:30 – Stacia's reflections on data architecture and decision-grade data


RESOURCES & LINKS
Ingentis Official Website: https://www.ingentis.com/
Dr. Timo Sandritter on LinkedIn: https://www.linkedin.com/in/sandrittertimo/

CONNECT WITH REDTHREAD RESEARCH
RedThread Research Official Website: https://redthreadresearch.com
RedThread Research on LinkedIn: https://www.linkedin.com/company/redthread-research
Stacia Garr on LinkedIn: https://www.linkedin.com/in/staciashermangarr/
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