Data Strategy & Product
When you know where you’re heading, every decision feels lighter. With the right choices, decisions turn into actions delivered with clarity, speed, and precision. Sense of direction, and clear product thinking become confident progress you can track every day.
To deliver the most impactful and expert data strategy for your team, we collaborate with Frans Melenhorst and Clear Value.
Turning data into insights and KPIs is essential for growth. But to get there, you need a solid foundation, one built on reliable, well-connected data. That’s why many companies find themselves asking: “Will investing in data actually move us closer to our goals?”
Our answer: yes, as long as it begins with the right strategy.
A clear data strategy connects your ambitions with the processes, people, and technology needed to make smart decisions.
A complete blueprint for how your business can work with the data you have going forward.
Holistic roadmap that outlines the initiatives, priorities, dependencies, and timelines needed to reach your strategic goals.
A practical structure that describes collaboration, what roles are needed, and how responsibilities are distributed,.
An overview of the key data products you can benefit from; such as semantic layers, dashboards, scoring pipelines, and AI components .
A practical view of how your data products will evolve, stay reliable, and continue to deliver value across teams.
Definitions and foundational data guidelines that ensure consistency, trust, and quality across your data assets.
Insight into what needs to be strengthened or introduced, making sure your team is prepared for both current and future needs.
Your project is guided by senior i-spark specialists who bring structure, clarity, and depth. Work with a team with expertise in strategy, product leadership, and architecture.
You may collaborate with a Strategy Lead, a Product Owner, a Data Product Lead, Solution Architect. Our collective view ensures your strategy is both forward-looking and operationally realistic.
We strengthen this through our collaboration with recognised experts such as Frans Melenhorst and Clear Value, creating a partnership that enriches the outcomes of your project.
A Data & AI Strategy Lead shapes the direction of your data ambitions. They exploresyour goals, identify meaningful opportunities, and turn them into a structured roadmap.
The Strategy Lead guides executive alignment, clarifies priorities, and defines the operating model that supports your team. They help you understand what to build, why it matters, and how it fits within the wider organisation. Their perspective ensures decisions are grounded in business outcomes and contribute to long-term growth.
A Data & AI Product Owner turns strategic intentions into organised, ready-for-action work. This role defines scope, manages the backlog, and brings consistency to the delivery process.
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The Product Owner works closely with all stakeholders to understand needs, refine requirements, and maintain the flow of progress. Their approach brings structure to decision-making, strengthens adoption, and supports a smooth lifecycle for your data and AI products.
Together with your stakeholders, we define:
- what processes, skills, and tools you need;
- what you already have and what’s missing;
- the smartest route forward, without overengineering.
Which becomes complete with :
- Practical plan
- Business case
- Realistic timeline
- Risks and how to manage them
You’ll know what to expect, what it will cost, and what it will yield.
Questions we often hear about Data Strategy.
A data strategy is a structured plan that defines how your company will use data to achieve its goals. It outlines what data is needed, how it should be managed, who is responsible for it, and how it connects to your business priorities. A good data strategy helps align people, processes, and technology, so it becomes a reliable driver of decisions.
We start with an intake session to understand your business goals and current data conditions. From there, we align with key stakeholders and co-create a plan that prioritises impact and feasibility.
Dashboards are useful, but they only show what your data allows. Without a strategy, they may be incomplete, misaligned with goals, or even misleading. A data strategy ensures your dashboards reflect what really matters to the business, not just what’s available.
That’s completely normal. Most companiesstart with fragmented data. A good data strategy takes that into account, it identifies what’s missing, what’s usable, and what needs improvement to support better decisions.
That depends on your business priorities, but examples include faster decision-making, improved reporting accuracy, reduced manual work, and better visibility into performance drivers.
Explore how a tailored data strategy can help you move faster and smarter!