Is Your Company's Data Your Blind Spot or Your Competitive Advantage?

Without a solid data strategy, data and AI initiatives remain isolated solutions—with real business value left on the table. An effective strategy clarifies which data you really need, who owns what, how investments are prioritized, and how hidden potential turns into measurable value.

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Related to the key topic "Data Strategy" at World of Data, you’ll meet the people who are already putting this into practice: CDOs, data leaders, IT decision-makers, and business teams for whom data is not a side note, but the foundation for better decisions, stronger products, and more efficient processes.

You'll take away real-world experiences: how a data strategy is created, how it is funded and anchored internally, and how it turns into measurable, sustainable results. No glossy brochure talk. Real practice.

What To Expect

Data & AI Visions
How companies formulate clear, business-driven Data & AI visions that executive leadership, business units, and IT can stand behind—and that actually work.

Governance & Responsibilities
You'll experience how specific roles, such as CDO, Data Owner, or Data Steward, ensure decisions are made while still leaving important room for business units to act.

KPIs Instead of Gut Feeling
How companies make the benefits and effort of data and AI initiatives measurable, prioritize them, and defend them in budget rounds through concrete, data-based business cases and clear prioritization.

Data-Driven Organizational Models
What happens when data teams, IT, and business units work together in a modern, success-oriented way, from data products and platform teams to CoEs.

Foundation for Usable AI
How data quality, platform, governance, and use case management interact so that essential AI projects do not get stuck in pilot mode.

Your Questions, Answered.

Who is the key topic “Data Strategy” at World of Data intended for?

For everyone who decides or influences how data is used: CDOs, Heads of Data & Analytics, enterprise and data architects, IT leaders, data product owners, and business stakeholders. If you want to justify, structure, and integrate investments in data usage and AI with day-to-day operations in a solid way, this is the right place for you.

Is data strategy relevant for mid-sized companies?

Yes, absolutely. Mid-sized companies, in particular, often have limited budgets and teams. A clear data strategy helps you focus on a few, but impactful initiatives. Why? To avoid duplicate structures and to choose tools that truly fit the business model. At World of Data, mid-sized companies share how they have solved this in practice.

How does data strategy specifically support our AI plans?

At WoD, you'll see how successful companies proceed: which data they actually make usable for AI projects, how they define responsibilities, how they select use cases, and how they measure impact. Most importantly, you'll take away concrete ideas for how a smart data strategy ensures that your AI roadmap is successfully linked to data, organization, and governance.