The Datentreiber Method:
Data & AI Business Design
Using the Data & AI Business Design method, you achieve your goals securely and find the right path more quickly. This method helps you and your team collaborate efficiently and effectively to design both unique and high-impact strategies for utilizing your enterprise data and integrating analytics and AI in a sustainable way.
What Is Data & AI Business Design?
Datentreiber’s Data & AI Business Design method applies core principles from Design Thinking—like empathizing with users, systematically framing challenges, and co-creating solutions—— while incorporating business viability, data feasibility, and value realization. This approach ensures that every data & AI initiative is both user-centered and grounded in the real-world possibilities of the organization’s data and technical landscape.
The Datentreiber method relies on a carefully designed set of canvases to help teams identify promising use cases, evaluate potential risks and benefits, and plan how analytics and AI can integrate into daily operations. This integration of user-centric creativity and data-driven practicality forms a holistic framework that aligns business objectives, user needs, and data capabilities, resulting in relevant, actionable, and transformative strategies.
What Is a Data & AI Strategy?
A data & AI strategy is a dynamic plan that positions data & AI as essential elements at the core of your entire business. At the same time a holistic data & AI strategy guides how your organization adopts and scales data-driven capabilities across near-term opportunities, mid-range growth, and future transformation.
Within Datentreiber’s Data & AI Business Design method, this strategy is designed and implemented within our three-staged process that guides your ongoing organizational transformation:
train.
Here your organization cultivates the mindset, skills, and shared understanding needed to leverage data & AI effectively.
think.
Focuses on designing, shaping and refining how data & AI fit into your business model, so they fuel innovation and align with strategic objectives.
transform.
Embeds data & AI-driven insights and processes into daily operations, ensuring they adapt and evolve with your business.
These stages complement a structured progression that helps integrate data & AI holistically—while setting the best foundation for an integrated data & AI strategy with clearly defined short-, mid-, and long-term goals to impact.
What Is the Data & AI Design Kit?
Central to the Data & AI Business Design method is a suite of Datentreiber Canvas that help teams explore all angles of data & AI—from identifying new use cases to analyzing feasibility and planning governance. Each canvas can be used individually to tackle a focused challenge (like prioritizing a single use case), or in synergy to design a holistic data & AI strategy.
Together 21 canvases constitute the Data & AI Design Kit
Plan
Analyze
Prioritize
Concept
ualize
Datentreiber shares these canvases free of charge under a Creative Commons license, believing that accessible tools foster better collaboration across organizations.
When the Datentreiber canvases are applied as part of the Data & AI Business Design method they can reveal their synergetic impact—woven into carefully structured workshops, guided by a clear roadmap, and aligned with your broader strategic goals.
What Is the Datentreiber Data & AI Design Bench?
The Data & AI Design Bench unites all Datentreiber canvases and workshop formats into a single, user-friendly virtual hub. Rather than forcing you to piece together scattered tools, the Bench outlines design patterns and processes that address typical data & AI starting points:
- Quick Win Initiatives: Identify one or two high-impact, low-risk projects to demonstrate the value of AI to the organization.
- Holistic Strategy Design: Map multiple domains (marketing, operations, finance) to discover synergies and drive enterprise-wide adoption.
- Domain-Specific Use Cases: Focus on deep-dive sessions for specific areas like supply chain, customer engagement, or production analytics.
- Product Design & Innovation: Test the feasibility of new data-driven products or AI-based business models via quick prototyping or design sprints.
- Additional tools & templates for common challenges: Strategy Presentation; Value Driver Tree; KPI Dictionary; Data & Analytics Use Case Catalog; Design, Development & Delivery Sprints and more.
How to Start with Data & AI Business Design?
All beginnings are…easy, especially with clear guidance. Datentreiber offers multiple entry points to kick off your Data & AI Business Design journey:
- Introductory Workshops
For those new to data & AI, a quick-win sparks alignment and clarifies the big picture. ➔ Learn More
- Datentreiber Trainings
Build internal capability to lead and facilitate Data & AI Business Design yourself. ➔ Learn More
- Self-Service with the Bench
Dive directly into the Data & AI Design Bench if you have an experienced team ready to adopt proven canvases and frameworks. ➔ Learn More
Where Can I Find More Insights About Holistic Data & AI Business Design?
Who Can I Talk to in Person?
Are you wondering if we are the right match for your data & AI strategy needs?
Schedule a brief call with Georg Arens, Managing Director at Datentreiber. He will provide valuable insights and help you decide if we are the right fit.
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