A pragmatic way to start with data products
Show your organisation the value of product thinking, shift your data & AI capabilities and scale to become a data-driven company.
AE works with well-known
companies
Adopting a data product mindset.
Data products have become the latest buzzword—everyone wants them. At AE, we believe that investing in data products means putting your consumers at the centre. Whether you deliver a dataset, a report, or an ML model, treating it as a product with its own lifecycle ensures its output is monitored and guarantees value for your consumers.
Together, we take a pragmatic approach to introduce a data product mindset. By creating data products that contribute to your strategic goals, we discover what “having a data product mindset” truly means for your organisation. To build data products in a repeatable, scalable, and high-quality manner, we identify what is needed in terms of people, governance, and technology—enabling you to become data-driven.

Do these challenges sound familiar?
Data quality issues: Who is responsible?
If nobody takes ownership of the data, report, or AI/ML model, then who is responsible for fixing the issues?
You invest in data, but are you seeing the returns?
You're building a data platform, reports, or a self-service BI environment—but are they delivering real value?
You have a data catalogue, what now?
Without clear vision, ownership, and processes, it risks becoming shelfware. Data governance only works when it's embedded in how people actually work with data every day.
Struggling to bring Business & IT together when working with data effectively?
Business and IT often speak different languages, making collaboration tough. Without a customer-first mindset, it's hard to build common ground and drive better, more connected outcomes.
Are your data initiatives stuck in slow motion?
Too often, valuable time is lost building everything from scratch. Instead, speed up your delivery by leveraging existing, battle-tested data products.
Is your data truly FAIR, or just stored?
Organisations often overlook what makes data truly valuable: being Findable, Accessible, Interoperable, and Reusable (FAIR). Without it, data remains locked in silos, hard to discover, difficult to share, and nearly impossible to repurpose.
How we help
Turn data into results: start small, align strategy, and refine your journey with expert guidance
Define your data products
Together with business, we identify your data products using our Return on Investment (ROI) canvas, to guarantee business value
Implement the data product lifecycle
Together we implement this lifecycle and show the added value of each phase of a product using our data product canvas.
We help you upskill or mature your organisation
Based on your current maturity we help your organisation grow towards self-reliance in adopting a data product lifecycle.
Introducing a Data Product Owner
Together we introduce the role of a data product owner to manage the lifecycle and quality of the product.
What’s in it for you?
Our pragmatic approach to data governance builds a future-proof data offering and nurtures a data product mindset, while our non-invasive process starts with your business from day one and scales your data capabilities only when needed.
A pragmatic approach to data governance
We steadily build up data governance based on the needs of your products and their consumers.
Fostering a data product mindset
While building data products together, we gradually help to roll out the data product mindset in your organisation to enable you to become even more data-driven.
Become even more data-driven
Building data products requires an organisational setup that works for you. Together we identify the needs and guide you in the organisational changes.
A non-invasive approach to mature your data capabilities
A data catalogue or a data platform are only valuable when it is being used. When starting with data products, we involve business from the beginning in becoming a data driven organisation. Only when the need is there to enable the scalability of your data products, we invest in maturing your data capabilities.
Why AE? What makes us different?
We’ve been building digital applications for over 25 years
Whether we talk about digital or data products, there are best practices in place. Our experience in software architecture and engineering proves its value in doing the same for the Data & AI space.
We deliver end-to-end solutions driven by your business goals
In all aspects of Envision, Enable and Realize, we bring a value-first mindset. From understanding the need up to measuring the impact, we get energy of delivering positive change.
The digital world revolves around people
Building bridges between business and IT is what AE is known for. Engaging people in this journey is a crucial part. AE includes the correct amount of change management & knowledge transfer in every project.
Our tech stack
We’re an independent IT service provider who can work with most platforms, solutions and services. But we do have extensive experience with some of the biggest names in the business.



How we work
With over 400 consultants, we have a lot of expertise on offer, spread over many domains.
Application development
Leave the development of your digital solutions in the capable hands of our digital studio.
Digital strategy
Navigate the complexities of the business landscape with insightful guidance to you optimise your digital strategy.
Inspiration
Fuel your business with creativity and innovation by getting external insights and fresh and inspirational ideas.
IT Consultancy
Gain strategic insights and lean on the technical expertise of our experts to optimise your technology investments.
IT team extension
Enhance your IT capabilities with a team of our skilled professionals to complement your in-house talent.
Managed services
Experience peace of mind while we manage and secure all aspects of your IT infrastructure.
Discover our other data solutions
We can assist you at any stage of your data journey.
Enable your goals
Build your Data & AI-driven organisation
When do you need data tools and training? Invest only when there's a clear need, focusing on a pragmatic approach to platforms, MLOps, catalogs, and change management.