Diana Schildhouse on Data-Driven Innovation at Colgate-Palmolive

Summary of Diana Schildhouse‘s Work​ at Colgate-Palmolive

This article details Diana Schildhouse’s role and impact as Chief⁢ Analytics ⁣and Insights Officer (and later expanding to include‍ Data ​and AI) at Colgate-Palmolive. Here’s a breakdown⁣ of her work and key takeaways:

Background & Role:

* Joined Colgate-Palmolive: April 2021 as Chief analytics and Insights officer, promoted in June 2025 to include oversight of Data and AI.
* Previous Experience: ⁣Extensive experience in consumer-facing companies including Mattel, Westfield, Merrill Lynch, ​and Disney.
* Reporting Structure: Reports to⁤ the Chief Growth Officer, collaborating with leaders in digital transformation, supply chain, innovation, marketing, strategy, and ⁢sustainability. ⁣This ⁣positioning is key to‍ driving business impact.

Key Initiatives & Strategy:

* Building from the Ground Up: She was brought ‌in to create an analytics and insights strategy for a global organization.
* ‍ Data Foundation first: Recognizes that accomplished AI and advanced analytics depend on strong data strategy and governance.
* Value-Driven Approach: Obsessed with ‌demonstrating‌ the impact ‍of analytics solutions – ensuring they are used and deliver tangible results.
* Empowering Business Users: Focuses on providing teams with tools for faster, more informed ⁢decision-making, rather than just delivering solutions to them.
* Scalability: Develops frameworks to ensure solutions can be scaled globally.

Specific Applications of Analytics &⁣ AI:

* Revenue Growth Management (RGM): Developed an in-house ⁤tool for‌ pricing and trade promotion analysis, scaled ‍globally, and tracked for effectiveness. This was a ​key initial success.
* Promotion⁤ & Calendar Optimization: Expanded analytics into this area based on business user feedback, piloting and ​refining a tool for improved analysis.
* Product Innovation (using GenAI):

‌ ⁤ * Insights hub: Created ‍with Market Logic,allowing marketers to query data ‌using natural language.
*​ digital Twin: Developed an in-house digital twin to ‍rapidly test product concepts with specific demographics, ensuring a “human⁢ in the loop.”
* ⁣ Omni-Demand Generation: A current priority,⁤ integrating RGM, ⁢media, marketing, and e-commerce analytics to better meet consumer needs.

Overall beliefs:

* Business-First: ‌ Technology is⁤ deployed ‌to solve specific business challenges.
* Iterative & Collaborative: starts with understanding business ​needs, pilots solutions, tests, refines, and scales based on results and user feedback.
* Focus on Predictive, Diagnostic, and Prescriptive Analytics: Moving beyond simply reporting data to providing actionable insights and predictions.

In ‌essence, Diana Schildhouse is driving a data-led transformation⁤ at Colgate-Palmolive, focusing on building ⁣a​ strong data foundation, empowering business users, and demonstrating tangible value‌ thru ‌innovative applications of analytics and AI.

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