Your digital ambitions 
Your digital ambitions
ARE YOUR DATA QUALITY INITIATIVES STRUGGLING TO GET OFF THE GROUND?
You’re not alone. Many large organizations face the same challenges. Data quality issues can’t be solved by looking at the data in isolation or by focusing solely on models and terminology. Too often, data quality becomes a goal in itself, while true progress starts with clear business demand.
At Anderson MacGyver, we help organizations connect data quality to purpose. We clarify why high-quality data matters and what it can help stakeholders achieve. Concrete use cases help bridge the gap between theory and strategic impact.
Before we continue! It’s more fun to discuss this in the context of your organization and feel the power of the approach through our passionate people. You can skip the read and talk directly to one of our professionals. Let them explain how we can help to build a solid, high-quality data foundation. Please don’t hesitate and reach out to Anton, Martijn or Stefan for a quick chat.
Ok, let’s continue with our approach!
Our approach
Set the direction
Make sure you can answer the strategic questions. Not only to define your ambitions with data and AI, but to ensure that outcomes can be shared and scaled across the entire organization. These four sets of questions focus on vision, value opportunities, and fit-gap analysis:
- What business impact can data & AI have? What is the business strategy? Who are the relevant internal and external stakeholders, and what are their goals?
- What will we do with data & AI to create impact? What are the concrete, specific use cases that will deliver value?
- What do we need to succeed? What capabilities and enablers are required to deliver value at scale?
- What guidelines will help us maximize business impact? What are our guiding principles for working with data & AI?
Typical output:
- Data vision that inspires organization-wide alignment
- Capability assessment revealing opportunities for growth
- A clear narrative to communicate the value of data and AI
Design the solution
Based on the identified gaps, we design a scalable growth model. We shape the data organization, including governance, collaboration models, roles and responsibilities. Together, we lay the groundwork for a strong data and AI culture.
We also define the technical landscape. This covers data architecture, infrastructure, integrations, and platform strategy. A prioritized roadmap is created, balancing effort and impact.
Typical output:
- Blueprint for scalable data-driven growth
- Governance and organizational design framework
- Prioritized roadmap for technology, architecture, and talent development
Implement the change
For us, implementation is not just about execution. It is where transformation becomes real. We guide the change by actively demonstrating, co-creating with your teams, and handing over ownership.
With a use-case driven approach, we act as quartermasters. We help build the initial ‘basecamp’, a minimal setup to start delivering value. The first iterations demonstrate business impact and create momentum for scaling.
Typical output:
- First working version of the data and AI setup
- Value delivery through real-life use cases
- Foundation for scaling data initiatives
Data is the foundation of digital smartness and the strength of the Digital Enterprise, making it one of your most important assets. Let’s discuss your data challenges and ambitions.