Offerings AI Transformation

Data strategy consulting

Data strategy consulting

Accelerate growth with a winning data strategy 

A well-thought-out data strategy is essential for organizations to thrive in today’s competitive markets. By aligning data management with business goals, companies can make informed decisions, optimize processes, and unlock new opportunities.  
 
Transforming raw data into actionable insights fosters innovation, boosts efficiency, and secures a competitive edge. Data strategy is the foundation for driving growth and staying agile in a rapidly evolving landscape. 

Empower Your Business: The key benefits of a strong data strategy 

A strong data strategy is the cornerstone of modern business success. By effectively managing and leveraging data, organizations can unlock new opportunities, streamline operations, and stay ahead of the competition.  
Offerings 1

Informed decision-making 

Leverage real-time insights to make informed, confident decisions that align with business objectives and market trends. 

Offerings 2

Operational efficiency 

Streamline workflows and optimize processes by uncovering inefficiencies and automating repetitive tasks with data insights.  

Offerings 3

New revenue opportunities 

Identify emerging markets, customer needs, and innovative business models using predictive analytics and trend analysis. 

Our implementation approach to data strategy with Data Mesh 

To empower organizations with a robust and scalable data strategy, we combine best practices in data governance, culture development, and the Data Mesh paradigm. Data Mesh is a decentralized approach to data management where different teams own and manage their own data, making it more scalable and flexible. This approach ensures flexibility, compliance, and long-lasting value creation. 

Element 1@2x

 

Set the foundation: Understanding needs and data products

We start by ensuring that data initiatives are closely aligned with business objectives. This involves defining the purpose and scope of data usage, identifying high-priority data products that provide measurable value, and establishing clear connections between data assets and business goals.

Element 2@2x

 

Operationalize & innovate: Building data as a product

In the second phase, we focus on decentralizing the ownership of data products by applying Data Mesh principles. This involves empowering domain teams to manage their data products as independent entities, establishing clear roles and responsibilities for both data producers and consumers, and assessing existing infrastructure to ensure it supports distributed data ownership. Additionally, we create prioritized roadmaps to guide the development of high-impact data products.

Element 3@2x

 

Rethink governance: Policies, standards, and metrics

In the next step, we integrate robust frameworks using both Data Mesh and traditional governance approaches to ensure data quality and compliance. This involves embedding federated computational governance to strike a balance between central oversight and domain-level autonomy. We also define clear policies for data security, privacy, and regulatory compliance, such as GDPR, and establish metrics and KPIs to measure data quality, accessibility, and utilization.

Element 4@2x

 

Foster a data-driven culture: Collaboration and excitement

A strong data culture forms the backbone of any successful strategy. We encourage cross-functional collaboration between technical and business teams, fostering an environment where diverse expertise can thrive. By building excitement around data usage through engaging training sessions, interactive workshops, and inspiring success stories, we aim to ignite a passion for data-driven decision-making. Furthermore, we promote experimentation and innovation by providing the necessary tools and frameworks that empower teams to engage in self-service data analytics, ensuring that creativity and data insights go hand in hand.

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Why diconium?

We are a globally recognized, data-driven organization with unparalleled expertise spanning governance, compliance, and advanced AI. With a proven track record managing complex data initiatives for global leaders like Volkswagen and its subsidiaries, we deliver tailored strategies that drive measurable results. 
What sets us apart is our seamless blend of strategic vision and hands-on execution. 

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We don’t just create strategies; we live them. From crafting data strategies to driving organizational change management, we integrate high-level planning with deep technical knowledge. This holistic approach ensures your organization not only has a clear roadmap but also the tools, skills, and culture needed to thrive in a data-driven world.

Alexander Czernay

Senior Director Data Studio

Why Data Mesh? 

Traditional centralized approaches to data often struggle to scale as organizations grow. Data Mesh introduces a decentralized, domain-oriented approach, making it easier to: 

  • Scale data ownership and accountability across the organization. 
  • Ensure that data products are designed with the end-user in mind. 
  • Reduce bottlenecks by enabling teams to work autonomously while adhering to shared standards. 

This blended implementation approach helps organizations unlock the full potential of their data, ensuring scalability, compliance, and innovation in an increasingly data-driven world. 

FAQ

 

What is a data strategy? 

A data strategy is a comprehensive plan that outlines how an organization collects, manages, and utilizes its data to achieve business goals. It serves as a roadmap for aligning data activities with business objectives, ensuring data is effectively governed, accessible, and leveraged for decision-making. A well-defined data strategy helps organizations improve efficiency, drive innovation, and gain a competitive edge in the market. 

Why every business needs a strong data strategy?

Companies face increasing volumes of data, rapid technological advancements, and growing customer expectations. Data is a critical asset for success. Without a clear data strategy, businesses risk inefficiencies, missed opportunities, and falling behind competitors. A strong data strategy ensures clarity, aligns goals, and enables informed decision-making for lasting impact in project set-ups. 

How to create a data strategy?

Creating a data strategy involves several key steps: 

  • Define Business Objectives: Identify your organization’s goals and how data can support them. 
  • Assess Current State: Evaluate your existing data infrastructure, processes, and capabilities. 
  • Develop a Vision: Establish a clear vision for how data will drive value creation in your business. 
  • Set Priorities: Identify high-impact use cases and prioritize initiatives based on value and feasibility. 
  • Design the Data Architecture: Choose the right tools, technologies, and frameworks for collecting, storing, and analyzing data. 
  • Implement Governance Policies: Ensure data quality, security, and compliance with regulations like GDPR. 
  • Foster a Data-Driven Culture: Train employees, establish clear roles, and encourage data-informed decision-making. 
  • Create a Roadmap: Develop a step-by-step plan with timelines, milestones, and resource allocation to implement the strategy. 

By following these steps, organizations can build a robust data strategy that aligns with their goals and drives sustainable growth. 

What differentiates an excellent data strategy from the usual one? 

An excellent data strategy stands out by being deeply aligned with business goals and designed to deliver measurable value. Unlike a typical strategy that may focus solely on technology or data collection, an outstanding one prioritizes the following: 

  • Business Alignment: Directly ties data initiatives to business objectives, ensuring every effort drives tangible outcomes. 
  • Actionable Insights: Goes beyond collecting data to emphasize transforming it into meaningful, real-time insights that inform decision-making. 
  • Scalability: Anticipates future growth and evolving needs, ensuring the data framework can adapt to new technologies and increased data volumes. 
  • Strong Governance: Includes robust policies to maintain data quality, security, and compliance, building trust and minimizing risks. 
  • Cultural Integration: Fosters a company-wide data-driven culture where teams at all levels embrace data as a strategic asset. 
  • Continuous Improvement: Regularly evaluates and refines data processes and tools to stay ahead of market trends and technological advances. 

An excellent data strategy doesn’t just support business operations—it drives innovation, secures competitive advantages, and positions organizations for long-term success.

When should a company start building its data strategy? 

A company should start building its data strategy as early as possible, ideally when it begins collecting and utilizing data for decision-making. Key moments to prioritize a data strategy include: 

  • During Business Growth: As operations expand, a data strategy ensures scalability and efficiency. 
  • Before Digital Transformation Initiatives: To align technology investments with data-driven goals. 
  • When Facing Compliance Requirements: To meet regulations like GDPR or CCPA and avoid legal risks. 
  • When Data Complexity Increases: As data volume, variety, and velocity grow, a strategy helps manage and leverage data effectively. 
  • To Gain Competitive Advantage: When competitors are leveraging data successfully, a strategy ensures your organization stays ahead. 

Building a data strategy early allows companies to harness the full potential of their data, streamline processes, and make informed decisions for sustainable growth. 

READY TO UPDATE YOUR Data Strategy?

Let's talk!

Axel Wetten

senior business development manager

Axel+Wetten