Why is a solid Customer Data Architecture so important?
Discover how a well-designed Customer Data Architecture can accelerate your data strategy! Check out our video featuring Jiani Zhang, CRM Lead KitchenAid AMEA, discussing the importance of a solid data foundation.
The struggle to turn data into value
- Marketing departments recognise the importance of data-driven marketing but lack the knowledge, time or even the empowerment to effectively integrate, analyse and activate customer data.
- Companies invest in CRM, AI and marketing automation, web analytics and cloud data platforms (Snowflake, BigQuery, etc.), but without a clear value-driven approach and data architecture, these tools remain underutilised.
- It’s 2025 and we have no clue what customers or prospect are actually doing online. Move away from relying solely on GA4 data and start connecting all your relevant data points.
Fragmented insights, ineffective personalisation and missed opportunities for data-driven marketing are often the result.
What if you had a personalised roadmap to improve customer experience?
A well-designed customer data architecture will help you to:
- Clearly align with other stakeholders by translating your business objectives into data capabilities.
- Activate your customer data faster through defining the relevant building blocks.
- Navigate a crowded and complex MarTech landscape to make the right technology decisions.
As your business objectives and technology evolves, so do your data architecture needs. We help you define future-proof data building blocks.
This is just an example
In this program, we create the roadmap and data building blocks with you.
From identifying what systems contain customer data to the capabilities needed to activate the data in your outgoing customer activities.
- Tailored for marketing teams → No technical jargon, just actionable insights to help marketing professionals understand, structure, and articulate data needs effectively.
- From strategy to execution → We guide teams from understanding the fundamental building blocks to building a roadmap for data activation.
- Future-proof your data strategy → Helping businesses make the right investments in composable analytics, AI-driven marketing, and cloud data.
- AI readiness assessment → We evaluate how your data architecture can enable and accelerate AI adoption, leading to faster ROI on AI investments.
Is your customer data AI-Ready?
The excitement around AI often leads organisations to jump straight into experimenting with different AI-tools. While experimentation is crucial to get familiar with the capabilities and limitations of AI, the critical catch remains: AI is only as good as the data it's fed. To truly leverage AI for powerful, customer-centric experiences, you need more than just raw data.
You need clean, connected, and well-structured customer data, supported by robust internal processes and a thoughtful data architecture. Overlooking these fundamental data foundations is a common pitfall. Making your customer data AI-ready isn't merely a technical endeavor; it's a strategic shift that empowers your teams, ensures the success of your AI initiatives, and ultimately delivers significant business impact.
Ready to build a stronger data foundation?
We take a structured approach to ensure your data strategy is aligned with your business goals. Our process is designed to uncover your unique challenges, identify opportunities, and create a clear roadmap for success. Here's how we'll work with you:
Discover
We start by understanding your stakeholders' needs, business goals and current data infrastructure.
Analyse
The as-is and to-be's are documented and through in-depth analysis, we identify gaps and areas for improvement.
Design
Our team proposes a tailored data roadmap that integrates with your existing systems and aligns with your long-term business objectives.
Present
We present the outcomes and define tangible first steps. We ensure alignment on challenges and priorities, so everyone is on the same page.
What we deliver:
- on-site workshop with up to 5 stakeholders
- translation of business goals to a business architecture
- definition of the data capabilities needed
- development of your customer data architecture roadmap
- identification of gaps in the current as-is customer data landscape
- the value narrative for customer data within your company
- final presentation of your phased approach to stakeholders
Your investment
Price: €5.850* (excl. VAT)
Your time: approx. 6 hours (workshops + final presentation)
*subject to change according to project scale