Value Stories – Hoppenbrouwer Digital Consulting

Value Stories

Unlocking Business Success Through Data Clarity

The Opportunity:

The organisation struggled with project delays, inefficiencies, and failures due to overlooked data dependencies. These challenges undermine the value of strategic investments.

The Solution:

We introduced a robust Data Impact Assessment framework built around three critical questions:

What data is required?
What is the right source of that data?
Is the data reliable for our needs?

This approach ensures data requirements are clearly understood, sources are identified and agreed upon, and data quality aligns with business goals. By embedding this process early, we enable informed decision-making and proactive risk mitigation.

The Outcome:

The organisation experience higher project success rates, reduced risks, and faster delivery timelines. By ensuring data clarity and addressing potential issues upfront, businesses unlock greater value from their investments while fostering a culture of informed, data-driven decision-making.

Transforming a Corporate Function with Data-Driven with a Data-Driven Strategy

A specific corporate operation faced inefficiencies, missed cost-saving opportunities, and challenges in meeting compliance and sustainability goals. With over $420 million in annual spend and increasing regulatory demands, the organisation needed a robust data strategy to unlock value and ensure seamless experiences.

The Solution:

We developed a comprehensive Data Strategy centered on improving data foundations and leveraging six targeted opportunities aligned with business priorities, including:

Integrated Analytics: Combining booking and expense data for holistic insights.
Supplier Contract Performance Management: Ensuring value preservation from global contracts.
Automation of CO₂ Emission Offsets: Aligning with sustainability goals by automating carbon footprint management.

By addressing gaps in governance, integration, and analytics capabilities, the strategy ensured high-quality, secure, and actionable data across the ecosystem.

The Outcome:

The data strategy drives significant value by enabling smarter decision-making, enhancing compliance, and driving cost savings, including:

$10 million annual savings through integrated analytics.
Improved safety with proactive risk management for high-risk areas.
Enhanced brand reputation via automated CO₂ offsetting aligned with sustainability commitments.

Unlocking the Value of Trusted Data

The Opportunity:

The Business faced challenges with fragmented, low-quality, and redundant data scattered across departments. This lead to inefficiencies, increased costs, and delayed decision-making. Without a unified approach, the Business continued to struggle leveraging data as a strategic asset for innovation and growth.

The Solution:
By adopting a “Data as a Product” approach, the Business transformed how data is managed and shared. This involved creating reusable, high-quality data products that are discoverable, trustworthy, and tailored to meet specific business needs. A structured framework ensured data is governed effectively, accessible through self-service platforms, and ready for advanced use cases like AI-driven insights.

The Outcome:

This approach empowers teams with reliable data at their fingertips, significantly reducing operational costs and manual efforts. It accelerates decision-making, fosters innovation through cross-functional collaboration, and enhances scalability and compliance. Ultimately, the Business gained a competitive edge by unlocking the full potential of their data assets.

Securing Strategic Control with Robust Data Contracting

The Opportunity
In large-scale outsourcing deals, organizations often face challenges such as unclear data ownership, poor data quality, and vendor lock-ins. These issues lead to operational inefficiencies, increased costs, and limited agility, especially when transitioning between suppliers or systems.

The Solution
To address these challenges, we developed a comprehensive approach to embed detailed IT and Data requirements into business outsourcing contracts, including:

A thorough checklist to assess supplier IT and data capabilities.
Clear agreements on data ownership, quality standards, integration responsibilities and exit strategies.
Provisions for real-time access to data and continuous monitoring of data quality.

This approach ensured that all suppliers adhered to stringent data governance principles while avoiding vendor lock-ins.

The Outcome
By implementing this strategy, the organisation maintains strategic control over a $600M outsourcing contract through data in a very complex deal. Additional benefits include:

Cost savings and reduced lead times due to clear responsibilities and instant access to critical data.
Improved data quality, with suppliers committing to agreed standards and proactive remediation of issues.
Enhanced agility, with predefined processes for seamless data handover during contract transitions or terminations.

Data LITERACY:

Empowering Confidence, Trust, and Innovation

The Opportunity

A large multinational faced a pressing challenge: its leaders and teams lacked the confidence and skills to effectively work with data. This gap created inefficiencies, mistrust in data, and missed opportunities for data-driven decision-making. Surveys revealed that less than half of employees trusted the data they relied on, and many felt overwhelmed or unprepared to use it. In an increasingly competitive, AI-driven landscape, this lack of data literacy hindered innovation and operational success.

The Solution

To address this, we launched a comprehensive “Data First” initiative. This program focused on three pillars: informing leaders about the importance of data literacy, educating them to ask the right questions using frameworks like the “Three Data Questions,” (link to other value story) and engaging them in a cultural shift toward data-driven decision-making. By introducing targeted training programs, consistent communication campaigns, and leadership engagement strategies, the company empowered its workforce to embrace data as a core business enabler.

The Outcome

The impact was significant. Leaders became more confident in using data to guide decisions, fostering a culture of trust and innovation. Projects with active leadership involvement saw a 75% higher success rate, while employee engagement increased by 29%. By improving access to trusted data and building organisational confidence in its use, the company unlocked new business value, streamlined operations, and positioned itself as a leader in leveraging AI and digital transformation for future growth.

Building Trust and Compliance:

Unlocking AI’s Potential Through Robust Data and Governance Foundation

The Opportunity
The organisation faced a critical challenge in ensuring the success of its AI initiatives: poor data quality and inconsistent (un)structured data management practices. This led to inefficiencies, inaccuracies, and increased costs in AI projects. The misconception that AI could compensate for substandard data compounded the issue, resulting in wasted effort and diminished trust in AI solutions. With regulatory pressures, such as the EU AI Act, mandating robust data governance and transparency, the stakes for compliance and operational excellence were higher than ever.

The Solution
We developed a comprehensive data foundations & management strategy to address these challenges. This strategy prioritised making data clear, accessible, and reliable by implementing robust data governance frameworks, interoperable data architectures, and searchable data catalogues. It also emphasized proactive planning to identify and prepare high-value datasets for AI use before deployment. This approach shifted the focus from reactive data cleaning to systematically addressing root causes of poor data quality, ensuring alignment with both operational needs and regulatory requirements.

The Outcome

This initiative delivers transformative results. By improving data reliability and accessibility, the organization reduced manual interventions, streamlined processes, and enabled greater automation across operations—not just in AI but enterprise-wide. Compliance with stringent regulations is achieved, mitigating risks of penalties and reputational damage. Ultimately, the company unlocked significant business value by fostering trust in its AI systems, improving decision-making accuracy, and positioning itself as a leader in responsible innovation.

Driving Innovation Through Data and Strategy

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