Consulting & Strategic advisory

Finding your data & AI project

We assess your entire organization or selected business areas for high-potential data & AI use cases. This can include use cases to improve your top line (new product/ service development, for example), your bottom line (including more efficient processes), or use cases in the area of risk and compliance.

We are your trusted advisor in the world of data, AI & advanced analytics. We consult on optimizing existing data & AI capabilities within your organization. We jointly explore high-potential use cases. Together, we develop or review strategic roadmaps to harness the best of data & AI. We ensure that your activities transpire within a secure governance and risk management framework. And we advise on suitable technologies and vendors.

Our consulting and strategic advisory services are designed to help you navigate these complexities and make informed decisions about your data strategy. With our expert guidance and deep technical expertise, you can unlock the full potential of your data and drive innovation and growth.

Building or reviewing your AI roadmap

We will jointly develop a multi-year strategic road map to ensure your organization becomes a best-in-class user of data & AI capabilities. This involves identifying and prioritizing use cases, defining required infrastructure (both tech-related and organizational), processes, and governance. We will also ensure required change management activities for a successful transformation to a data-driven organization. In case your data & AI roadmap already exists, we will review it to identify improvement potentials. Our target is to have a coherent strategy that is closely aligned to your business needs to increase the Return on Investment (RoI) from your Data & AI efforts.

Governing your Models & Data

Once data & AI operations are scaled, it’s increasingly important to put in place a comprehensive governance framework. We assess your data & AI strategy for legal, operational and reputational risks and then develop an appropriate framework to mitigate them. This includes guidelines for model development, operation, disposal, inventory/ registration and risk management. We also advise on the build-up of AI Centers of Excellence.

  • Data strategy development
  • Data architecture design
  • Data governance and security
  • Data quality and integration
  • Analytics and reporting