Data strategy consulting

Generate more value from your data

We partner with you to develop actionable strategies. Together, we address key challenges like digital transformation, crafting innovative digital products and services, boosting efficiency, and advancing organizational development. We collaborate to create a data strategy aligned with your business goals, guiding you through the necessary steps to achieve success.

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We partner with you to develop actionable strategies. Together, we address key challenges like digital transformation, crafting innovative digital products and services, boosting efficiency, and advancing organizational development. We collaborate to create a data strategy aligned with your business goals, guiding you through the necessary steps to achieve success.

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What we offer

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Data strategy consulting

Companies that use data effectively generate up to 22% more profit and 70% more revenue per employee. We help you grow your business by developing and refining a winning strategy.

  • Secure a competitive advantage: Align your data strategy with your goals to strengthen decision-making and gain a competitive edge.

  • Determine where you’re at – and where you want to go: Starting with an assessment of your current situation, we’ll provide a clear, action-oriented roadmap to reach your goals.

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Adding value through data: Identifying opportunities

What challenges are you facing? Which opportunities should you seize? Bring together different perspectives and establish a shared vision.

  • Problem-solving strategy: Start with a clear understanding of your challenges and goals to make the most of your data.

  • Collaborative development: We conduct data thinking workshops to identify valuable use cases and secure buy-in from key stakeholders.

  • Actionable roadmap: You’ll receive a prioritized plan, from concept to implementation, tailored to your strategic goals.

  • Versatile approach: Our approach is suitable for developing comprehensive data strategies, as well as specialized data projects.

Future-proof your infrastructure: Tech assessment & optimization

Put yourself in the best possible position to generate insights from and activate your data to improve customer acquisition and retention.

  • Future-proof infrastructure: Receive a tailored architecture concept that fits your current and future needs, eliminates redundancies, and optimizes processes.

  • Data quality and integration analysis: Benefit from an independent review of your data collection, storage, and analysis processes to improve quality and ensure seamless integration across tools and platforms.

  • Regulatory compliance and data protection: Ensure compliance with GDPR and other data protection requirements and verify that your data processing procedures are secure.

  • Actionable roadmap: You’ll receive clear recommendations to facilitate a smooth transition to an optimized, user-centric infrastructure.

  • Competitive advantage: Leverage our expertise to stay ahead of technology trends and competitors. 

Find out more about our tech consulting

Data operating model

Creating value from data requires more than just strategy and technology – it hinges on how your organization is designed, how roles are defined, and how processes work together. This is the essence of the data operating model. Ensure your digital and data departments are strategically aligned with your business objectives. A clear vision and mission can enhance this alignment, improving the efficiency of your organizational structure.

  • Data literacy: Promote a data-driven mindset across your entire organization with defined roles, data governance, and improved data proficiency.

  • Organizational efficiency: Implement a lean structure to improve cross-functional collaboration and the clarity of roles and responsibilities.

  • Process optimization: Streamline your business processes to support data-driven decision-making.

  • Organizational agility: Design your organization to adapt to changing requirements and align with business priorities.

Our approach to creating a data strategy

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Case studies

  • Data strategy

    Data strategy enables leveraging customer data for public broadcasting

  • Data strategy

    Accessible and actionable marketing data

  • Data strategy

    Organizational redesign for digital transformation

  • Data strategy

    Efficient use case implementation with data strategy

  • Data strategy

    Developing a solid foundation to realize business objectives and data use cases

    Tools we used
    Read now

Ready to get started? Book a call with us today.

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Why FELD M?

We stand for loyalty, professionalism, and quality. By combining a holistic approach with customer-centric methods and the latest best practices, we aim to enhance your team’s capabilities every step of the way.

 

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Flexible

With around 70 employees, we are able to adapt and really tailor our input to your needs without losing sight of the personal relationship. We have a large number of experts in a wide variety of fields.

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Collaborative

With FELD M you have a partner by your side to enhance your team’s capacities, distil your goals into actionable steps, and deliver expertise on complex topics. We’re very proud of the long-lasting relationships we have with many of our clients, too.

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Focused

Our team of scientists, economists and philosophers draw upon a broad range of methodological expertise and project experience – but we also know how to laser focus and get things done. We help you get ahead of your competitors, and have fun along the way.

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Experienced

With over 20 years of experience in our field, we place great emphasis on not just getting things done, but doing the right things – and doing them right. 

Find out more about our approach

Related content

FAQs

What makes a good data strategy?

A data strategy defines how data contributes to business objectives by solving the company's challenges and capitalizing on opportunities. It’s crucial to prioritize and design specific use cases without getting bogged down in the details. But a good data strategy goes even further. It provides a clear, action-oriented roadmap for developing the necessary capabilities – covering data, technology, analytics, and organizational elements like structures, roles, processes, and expertise.

A good data strategy isn’t static; it’s a dynamic process that evolves with ongoing adjustments and improvements.

What are the key components of a data strategy?

The FELD M data strategy framework includes three essential components—business, technology, and people—that are crucial for developing a comprehensive data strategy.

These components have consistently proven fundamental in numerous customer projects. The framework serves as a tool to highlight relevant aspects within these components, enabling a status quo and gap analysis. Additionally, individual components can be assessed based on identified needs, ensuring the strategy addresses the most critical areas.

What key questions should a data strategy answer?

  • What are our key business objectives, and how can data help us achieve them?
  • What metrics will measure the success of our data initiatives?
  • What data do we have, what data do we need, and how will it be managed?
  • Who is responsible for the data, and how do we ensure its quality and security? How do we protect people’s privacy?
  • How do we analyze, share, and use data for decision-making?
  • What technology supports our data requirements, and how scalable is our infrastructure?
  • What skills are needed, and how do we foster a data-driven culture? 
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happy clients, including 11 DAX companies

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Net Promoter Score

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client relationships with a duration of more than 5 years

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years in the market

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Ready to get started? Book a call with us today!

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