Key Takeaways from the Article: Colgate-Palmolive’s Data & AI Transformation
here’s a breakdown of the key takeaways from the article, focusing on Colgate-Palmolive’s data and AI journey under the leadership of Dana Schildhouse:
1. Strategic Importance of Data:
* Data as a Core Asset: Colgate-Palmolive recognizes data as a fundamental strategic asset, leading to the creation of Schildhouse’s role and the expansion of her responsibilities to include AI.
* Centralized Leadership: The company consolidated analytics, insights, data, and AI under a single leader (Schildhouse) to build a strong foundation for scaling advanced solutions.
2. Organizational Alignment & Reporting Structure:
* Close to the Business: Schildhouse reports to the Chief Growth Officer, ensuring data initiatives are directly aligned with business objectives. This proximity is intentional and considered crucial for impact.
* Cross-Functional Collaboration: She collaborates with leaders across multiple departments (digital transformation, supply chain, marketing, R&D, etc.) to integrate data into all aspects of the business.
3. Focus on Demonstrable Value & Impact:
* Rigorous Performance tracking: A core principle is meticulously tracking the performance and impact of data solutions. if value isn’t demonstrated, the solutions aren’t considered accomplished.
* “Passing over the fence” isn’t enough: Simply building solutions isn’t the goal; the solutions must be used by the business to drive results.
4. Scalability & Global Reach:
* Global Frameworks: The team develops frameworks to ensure solutions can be scaled and deliver value consistently across Colgate-Palmolive’s vast global operations (over 200 countries).
* Empowering Business Teams: The goal is to equip business teams with data-driven tools for faster, more informed decision-making.
5. AI Implementation & Success Story (RGM):
* Active AI Deployment: The team is actively implementing AI-powered solutions like machine learning, predictive, and prescriptive analytics.
* Revenue growth Management (RGM) as a Pilot: RGM was a key initial focus, with the development of an in-house tool that enabled faster, more informed pricing decisions at the local level. This tool was then successfully scaled globally.
* iterative Expansion: building on RGM success, the team expanded into promotion and calendar optimization, responding directly to business user needs.
in essence, the article highlights a successful data and AI transformation driven by a strategic focus on aligning data with business growth, demonstrating tangible value, and scaling solutions globally. It emphasizes that technology alone isn’t enough; it must be integrated into the business and used to drive real-world impact.
