Grupo AJE

In today’s business environment, where data lies at the heart of strategy, leveraging information effectively has become critical to driving innovation and sustaining competitive advantage. Based on my experience leading data, analytics, and artificial intelligence initiatives at a multinational consumer goods company, I have found that delivering consistent value and innovation through these capabilities requires a balanced approach across four pillars: technology, processes, people, and data—with AI serving as the fifth transformative pillar.

Building a Solid Foundation: Technology, Processes, People, and Data

From a technology perspective, adopting a robust and scalable cloud infrastructure is essential. After evaluating several options, migrating to one of the leading cloud platforms enabled greater operational efficiency, a 20% cost reduction, and access to a rich innovation ecosystem. This move was not simply about technology upgrades but about building an agile, future-ready organization.

Regarding processes, reducing operational load by over 35% and improving timely access to information by 40% has been critical. In my experience, increasing data availability and visibility at all levels of the organization empowers teams to make faster, better-informed decisions. It’s not just about dashboards—it’s about embedding data into everyday operations.

The people pillar is equally important. Cultivating a data-driven culture goes beyond training sessions; it requires sustained efforts to build trust in data, develop analytical skills within teams, and promote autonomy. Providing self-service access to KPIs and business metrics has been a fundamental step in democratizing information and encouraging proactive, data-driven action.

On the data front, designing models aligned with business processes—rather than focusing solely on technical architectures— improves the quality and relevance of information. Implementing semantic layers that translate technical structures into business-friendly terms has enhanced collaboration between technical and business teams.

Scaling Impact with Artificial Intelligence

Once a strong data foundation is in place, integrating AI can dramatically amplify business impact. In my experience, AI initiatives that start with clearly defined business goals—such as optimizing customer segmentation or enhancing sales force efficiency—tend to be far more successful than purely exploratory projects.

For example, segmentation models enable more targeted commercial and trade marketing actions, while sales optimization algorithms improve productivity by suggesting customized product assortments based on historical and geographic data. These applications not only drive sales uplifts but also instill operational discipline aligned with strategic goals and strengthen collaboration between data science and business teams.

One key lesson I’ve learned is that business leadership must drive AI initiatives—not just support them. Active executive sponsorship and direct involvement from operational teams are essential to move beyond pilot projects and achieve sustainable, scalable impact.

Our Fifth Pillar: Generative AI

The shift toward generative AI marks a new chapter in using technology to fuel business innovation. From my perspective, generative AI offers transformative potential beyond traditional use cases. While process automation and content creation are important, expanding into areas such as image recognition, interactive bots, and other intelligent functionalities opens new avenues to engage customers and operate more efficiently.

The pilots I’m currently involved in focus on integrating generative AI capabilities into operational workflows using business-context data, always with a strong emphasis on aligning technological solutions with strategic business objectives.

Reflections on Sustainable Innovation

The evolution from a structured data strategy to the application of generative AI has been a catalyst for innovation. Our comprehensive approach—built on technology, processes, people, and data— has enabled us to foster a Data & AI-driven culture that supports decision-making and delivers real business impact.

Data and AI are powerful enablers, but their true impact is realized when they are deeply embedded into an organization’s DNA—shaping decisions, enhancing capabilities, and constantly pushing the boundaries of what’s possible.

By establishing strong foundations and maintaining a collaborative, business-centered approach, organizations can unlock the full potential of data, analytics, and AI to drive meaningful and lasting innovation.