IS YOUR DATA INITIATIVE STUCK IN PILOT MODE?
You’re not alone. In many organizations, foundational data work is done in isolation, without mandate, clear scope or sufficient funding. There’s little connection to the business where data is actually created, changed, used (or leaked). The result: disconnected governance, frustrated teams, poor data quality, and growing risks. Especially in regulated sectors like finance, energy and healthcare.
Without a clear view of how data supports strategic goals, efforts remain fragmented, costly, and ineffective. Meanwhile, the pressure to deliver AI results keeps rising. True progress requires a business-first approach that connects strategy, operations, and data into one coherent path forward.
That’s where Anderson MacGyver makes the difference. We help you move beyond isolated fixes toward an integrated data foundation that enables real business value — from use-case driven governance to impactful AI adoption.
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 about improving data quality and building a solid 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
Unlocking value with data and AI starts by knowing where it matters most. We begin by identifying promising data opportunities and conducting a Data to Value assessment. This connects your strategic ambitions to concrete use cases and provides insight into where data and AI can truly create business value. It also highlights what level of data quality is actually needed to support that value.
From this starting point, we work together to clarify your data vision, align internal stakeholders, and prioritize efforts that will generate visible results.
Typical output:
- Business-driven data vision and opportunity map
- Prioritized use cases linked to strategic goals
- Capability scan showing where to invest first
Design the solution
To deliver value at scale, you need the right organizational and technical setup. That includes clear roles, robust governance, smart processes and systems that support responsible data use.
But not every part of your organization needs the same approach. Some areas rely on standardized, high-quality data. Others benefit from flexibility, exploration and innovation. A multi-modal setup ensures that both needs are supported safely and effectively, within a single coherent model.
Typical output:
- Governance model tailored to different data and AI usage contexts
- Data quality framework that integrates people, processes and technology within existing structures and architecture
- Roadmap with prioritized changes for systems, architecture and key business processes
Implement the change
We implement data governance, management and architecture through real use cases. This is not about presenting new roles on a slide. It is about delivering value and showing people how to act, decide, and collaborate in practice. By demonstrating success, we create momentum and lay the groundwork for lasting change.
Typical output:
- Tangible business value through working versions of your Data and AI use cases
- Embedded governance and management through guided behavior and real-life collaboration
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 and AI challenges and ambitions.