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Realize Your Data and AI Ambitions

Data and AI Strategy Design and Execution

As leadership, you’ve invested time and resources in data and AI. Let’s look at the results – are you realizing business value?

Plan Your Journey to Become an AI-Driven Enterprise

Today, over 80% of companies consider data an essential part of their strategy. However, only 1 in every 6 organizations actually succeeds in developing data applications that are adopted and used by the business. With businesses heavily invested in data and AI, what makes the difference to be successful with AI?

Based on years of experience, both from a strategic perspective as well as hands-on, we bring a pragmatic, realistic approach that is centered around concrete and achievable steps toward your goals.

  • Data and AI Maturity Audit to assess your current situation
  • Data and AI Strategy Design to concretize your ambitions and plan toward your long-term goals.
  • Tactical Planning, including deliverables such as a Data Product Roadmap or Capability Design
  • Coaching and mentoring to enable senior management to take the right decisions and ensure progression.


Data & AI Maturity Self-Assessment

The Data and AI Maturity Self-Assessment is a great tool to get insight into quick wins for your organization.

What it takes to translate your strategy into business solutions

Your processes with regards to AI solutions are as important as building them and getting it into production. Ideation workshops, AI literacy trainings, product ownership and management of enterprise-scale projects it's all important. To do this you need the right analytical capabilities, workflows and be ready to scale. All this, with the right foundation in place: A modern data stack and data warehouse.

  • Develop business capabilities to discover and prioritize AI use cases
  • Maninging the AI products and leveling up AI-literacy
  • Developing the right analytics capabilities
  • Setting up the foundations with a modern data stack & data warehouse
The Road to AI Maturity

Our Data and AI Strategy Services

Many organizations face the same difficulties on their way to becoming AI-driven. AI Maturity provides a uniform way to establish an organization's ability to execute an AI strategy. 

Strategy Design

Embark on the journey from where you are right now. Plan a Data and AI Maturity Assessment to get insight in the maturity level of your people, skills, tools, technology, and data. Based on these insights, you can design a pragmatic plan to develop your Data and AI Capabilities along with the implementation of your long-term strategy.


Business Capabilities

To translate a strategy into Data & AI Business Solutions, getting the right people in the right role, developing capabilities, and ideating and prioritizing use cases are essential.

  • Discover and prioritize AI use cases
  • Manage the AI products
  • Level up the AI-literacy

Analytics Capabilities

To develop AI-driven solutions that are adopted by the business, it is essential that your organization adopts the engineering culture and a solid workflow

  • Establish data science and data engineering chapters
  • Lead by example on the job
  • Implement the most effective workflow

Strategic Coaching

An experienced coach or mentor is there to answer any questions and is able to provide a second opinion for difficult decisions.

  • Tactical Planning, including deliverables such as a Data Product Roadmap or Capability Design
  • Coaching and mentoring to enable senior management to take the right decisions and ensure progression.

What is the role of an Analytics Translator?

Learn how an Analytics Translator helps organizations overcome the most common difficulties when building AI solutions.
Customer story

Leveraging Data, AI, and MLOps to Make Work as Easy as Possible for Farmers Across Europe

Together with Xebia Data, agricultural distributor Kramp defines its 3-year data strategy, and kicks it off with a brand-new MLOps platform and first AI use case, resulting in an estimated cost saving of 8 million EURO in the first year.

Customer story

What's the "Secret Ingredient" Making Paula's Choice Customers Glow? Data!

Leading direct-to-consumer skincare brand implemented a data strategy with modern architecture, data platform, and predictive algorithms to personalize and add radiance to its offers.

Customer story

Data-Driven Trading Enables Van Caem Klerks Group To Act Faster and Buy and Sell Quicker

Van Caem Klerks needed to update business processes to become a data-driven company. Through high-level data strategy & execution, they managed to gain speed, productivity, sales, and the ability to make better data-driven decisions.

Customer story

Randstad Building a First-Class Data Science and Data Engineering Organization

Leading staffing company professionalizes its data science and engineering department by improving processes and building internal capabilities

Customer story

Transforming Company Culture Allows Transavia Airlines to ‘Take-off’

Low-cost Dutch airlines optimize internal operations to improve customer experience