Cloud Data Platform Consulting
Strong foundation
already on our expertise:
Challenge
- Data silos from digital touchpoints, device data, and CRM systems
- Processing large volumes of real-time data from around two million devices
Solution
- Central real-time analytics platform based on Microsoft Azure
- Processing 1.4 billion events daily with a 3–4 second refresh rate
Challenge
- Around 140 non-integrated data pipelines without a unified data model
- Data inconsistencies, reliance on Excel, and high manual maintenance effort
Solution
- Central Data Vault model with data from five key source systems
- Automated transformations and unified delivery for Power BI
Challenge
- Heterogeneous marketing, CRM, and sales data from numerous touchpoints
- Error-prone data pipelines and discrepancies between reporting and billing
Solution
- Modern Data Stack with Fivetran, Snowflake, dbt, and Data Vault modeling
- Error detection in under 60 minutes and up to 80 percent less testing effort
Scalable data platforms that unleash potential
In an era of rapid market changes, the power of your data determines how successfully your business operates. We work with you to develop a cloud data platform that grows with your needs, adapts to technological trends, and maximizes the value of your data—whether starting from scratch or as a targeted enhancement of your existing data architecture.
With us, you’ll extract the full value from every byte and ensure that your infrastructure is stronger tomorrow than it is today. Our mission: We design solutions that not only keep pace with the market but also give you a real competitive edge—tailored, robust, and sustainable. This way, every database becomes a growth engine for your business.
Our cloud data platform services
Data Discovery & Assessment
In focused workshops, we analyze your entire data landscape and uncover hidden potential.
Infrastructure Assessment
We analyze cloud resources, pipelines, and operational processes for efficiency, security, and scalability. The result is concrete recommendations for action with transparent business impact.
Data Architecture Alignment
We design a scalable data architecture that is based on the corporate strategy and serves as the basis for your data platform.
Data Integration
We connect heterogeneous sources and ensure a uniform data model. Whether monthly, daily or in near real time: We deliver reliable data for reporting and AI applications and break down data silos.
Data Pipeline Development
We automate the end-to-end data flow with robust orchestration and test every transformation. The result: reliable data provision, low maintenance costs.
Data Modeling
We model your data along business processes according to proven standards and create a robust basis for reporting, self-service and automation.
Infrastructure Automation
We automate the rollout of the infrastructure to provide setups in a reproducible, efficient and error-free manner.
Performance Optimization
We analyze performance bottlenecks and optimize technical adjustments—for faster queries and lower operating expenses.
Development standardization
We establish development standards to create sustainable, maintainable and scalable solutions.
Data Quality
Through automated data testing and anomaly detection, we ensure that your database always remains error-free, consistent, and business-critical.
Data Governance
We develop a governance framework that ensures compliance, accountability, and security across your entire data value chain.
Security
We secure your data platform in accordance with security best practices—both technically and organizationally. For data that is secure and stays that way.
Training & Coaching
Whether in our Databricks or Fabric training or in individual coaching. We empower your team to maintain and develop pipelines. This reduces dependencies on external service providers and improves the long-term maintainability of your data platform.
What your data platform needs to do — and how we make it possible.
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By building the platform, we are now able to make data-driven decisions and further develop our products in a customer-oriented manner.
HD+
By cleverly linking data, we have not only optimized our internal processes, but also broken up data silos and thus secured a decisive competitive advantage.
Aachen real estate
With advanced analytics, we not only expand emotional customer loyalty, but also increase the positive customer experience
Around 150 sales employees and management from three countries are currently using the resulting automated sales controlling system.
Marketing spending is one of our most relevant budget items. [...] A scalable, robust and comprehensible data pipeline saves significant costs.
Find the right service for you
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Start
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Can't find the right package for you?
Just send us a message, and we can find out how we can help you in an initial conversation.
Find the right service for you
Data Platform
Not the right package for you?
Just send us a message and in an initial consultation we will find out together how we can help you.
The leading technologies
we use
Why taod?
We combine architectural consulting with hands-on implementation. The result is a data platform that aligns with your business needs, operates reliably, and grows alongside new analytics and AI applications.
We start with your company's requirements and translate them into a suitable data architecture. We then support the implementation process until you have a platform that can be reliably used in your day-to-day operations.
We don't commit to specific tools; instead, we choose the solution that fits your requirements and your existing system landscape. We combine established cloud technologies into a cohesive overall architecture.
We consider scalability, data quality, security, and maintainability from the very beginning. This ensures we don't just build a short-term, isolated solution, but a stable foundation for future data products and use cases.
We involve your teams early on and provide the knowledge necessary for ongoing operations. This enables you to use and further develop the platform with increasing independence.
We use AI where it makes sense. This allows us to achieve results faster and more efficiently.
FAQ
A traditional data warehouse is a central repository for data. A cloud data platform goes beyond that, combining data models, infrastructure automation, governance, pipelines, DataOps, and analytics into a single integrated environment, making it ideal for reporting, self-service BI, and advanced analytics.
A classic data warehouse reaches its limits when data volumes grow, new data sources are added, or analytics and AI use cases arise. That's when you need a flexible data infrastructure that can be scaled, supports various types of data and can be operated automatically.
Scalable data infrastructure ensures that your system does not collapse with growing data volumes and new use cases. It enables stable data delivery, rapid analyses, lower operating costs, and better integrations with BI or ML tools.
We are open to technology and work with popular tools and cloud platforms such as Snowflake, Databricks, Microsoft Fabric, Azure and dbt. Which tools are best for you depends on your use case and your existing environment.
Cloud infrastructure enables elastic computing power, high performance, and rapid deployment of new environments. As a result, analytics, BI and AI use cases can be efficiently implemented and scaled as required.
Do you still have any unanswered questions?
Let us answer your questions during a non-binding initial consultation.
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Open up your options, because you have plenty of them. As a source of inspiration, we recommend your data and our data!.
Modern Data
Optimize your data infrastructure with a modern tech stack.
