A global consumer product goods business and manufacturer: Defining the enterprise data & AI strategy

1 min read

Retail & Consumer Goods

Data Strategy

To remain competitive in a data-driven market, our client partnered with us to define a forward-looking enterprise data & AI strategy. Through workshops, benchmarking and design sessions, we co-developed a bespoke strategy that contained a comprehensive roadmap designed to enhance innovation, operational agility and long-term competitive advantage.

Outcome 1: Defined a three-horizon roadmap with 50+ initiatives across data, AI and analytics
Outcome 2: Established a unified enterprise-wide data & AI vision and strategy framework
Outcome 3: Introduced a scalable hub-and-spoke operating model to unlock AI-driven transformation

The challenge

The rapid evolution of AI and data technologies is transforming how global companies operate. Our client recognised a widening gap between their current data capabilities and industry leaders, threatening future competitiveness. To leapfrog ahead, they needed a unified, strategic approach that could enable smarter decisions, accelerate innovation and empower teams across the enterprise.

Our client’s legacy systems and siloed data environments limited their ability to harness AI, enable real-time analytics and support innovation at scale. With competitors outpacing them in data maturity, our client needed an actionable strategy to modernise their capabilities, upskill talent and deploy AI effectively across business units.

The approach

We developed the data & AI strategy by assessing our client’s current maturity, running executive and working sessions and benchmarking against peers.

The result: a bold vision aligned to business priorities, backed by a three-horizon roadmap across five strategic pillars. We introduced a hub-and-spoke operating model, prioritised initiatives by impact and embedded mechanisms for scalability, governance and transformation.

Impact

The data & AI strategy has positioned our client to unlock value from AI and analytics at scale. By aligning leadership on a single vision and embedding data literacy and governance, the business is equipped to make faster, smarter decisions. The roadmap is now guiding investment, driving operating model shifts and enabling proactive innovation across R&D, commercialisation and operations.