Bridge the gap between ambition and action, and discover how i-spark helps you turn business goals into data-driven results, with clarity, speed, and precision.
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. It brings direction and structure to your data efforts, ensuring they support your business priorities from day one.
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.
- 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!