A Shared Mission with Two Areas of Expertise: BearingPoint and Rockfeather Announce Collaboration in Data & AI

• Data & Analytics Strategy: Providing direction for data initiatives, maturity assessments, use-case definitions, and CDO advisory.
• Data Governance: Establishing governance frameworks and operating models, data ethics, and enabling data culture and literacy.
• Advanced Analytics/Data Science & Machine Learning: From pattern discovery to predictive models, with an emphasis on end-to-end value creation.
• Data Engineering & Architecture: Advising on and implementing data platforms and pipelines, including security and privacy requirements.
• Data Visualization & Data Storytelling: Translating insights into understandable, actionable interactions for the organization.
• Intelligent Agents & Automation: Exploring the opportunities and impact of AI-powered technologies and translating them into process improvements.
  

From Design to Daily Practice
Rockfeather shares this mission and helps organizations make their data and AI ambitions practically achievable. This begins with a pragmatic data strategy that not only provides direction but is also immediately applicable. That direction is translated into concrete data products, automation, dashboards, and adoption within organizations. The guiding principle is clear: automate where it makes sense, provide insights where needed, and empower teams to continue developing independently.

Rockfeather’s strengths lie in the following areas:

• Establishing or further developing the data foundation

• Delivering actionable insights through dashboards and reporting

• Implementing automation

• Accelerating adoption through coaching and training

One value chain. One shared responsibility.
In organization-wide data transformations, we consistently see the same pattern. On the one hand, organizations seek direction and frameworks—such as business value, use cases, and governance. At the same time, there is a need for support in realizing solutions that truly take root within the organization.

The partnership between BearingPoint and Rockfeather brings these worlds together. It’s not a handoff between strategy and execution, but rather shared responsibility across the entire chain—from the initial design choices to solutions that are used every day.

We see this reflected in joint projects, such as:

• A high-speed rail infrastructure operator where BearingPoint developed a proof of concept and business case for an AI agent, while Rockfeather handled the platform design

• A healthcare knowledge institute where BearingPoint designed data governance and data management, and Rockfeather handled data engineering

• An online travel provider where data management and data engineering were tackled jointly
  

Meet us at Data Expo 2026
Another factor that helps us share knowledge and practical experience is that we also seek each other out in the event landscape. On September 9 and 10, 2026, the Dutch data community will come together at Data Expo at Jaarbeurs Utrecht. Data Expo positions itself as an event where data, AI, tech, and business converge—a two-day event featuring sessions and case studies on data-driven work, AI, compliance/ethics, and BI. Both Rockfeather and BearingPoint will be there.

Would you like to meet us, brainstorm about your data or AI roadmap, or simply reflect on where you stand? Schedule an introductory meeting or visit us at Data Expo to discuss your data or AI ambitions.

This blog post is a contribution from BearingPoint and Rockfeather. By combining their expertise in strategy, governance, data, and AI, they help organizations translate their data and AI ambitions into sustainable results. Together, they support organizations at every stage of their data transformation: from vision and design to implementation and adoption. Visit BearingPoint and Rockfeather at their booth during Data Expo 2026.