Your data is valuable – if you know how to use it. We help you turn data into real value: more efficient processes, new business models, and sustainable growth.
Data should deliver results – not just be collected. With our holistic approach, we increase efficiency, reduce costs, and improve decision quality – from strategic planning to scalable implementation.
We connect technology, processes, and people to ensure that data in your organization leads faster to actionable insights, stable processes, and measurable growth.
Our 6-step approach:
We start with a data strategy that is directly aligned with your business goals – whether it’s reducing costs, accelerating processes, or improving customer experiences.
The result is a company-wide roadmap that identifies where data creates the greatest economic impact.
We integrate distributed data sources, ensure data quality, and establish clear governance structures.
The result: a centralized, trusted data foundation that enables reliable analytics, reporting, and AI applications.
Together with your business units, we define use cases with measurable value – such as sales forecasting, process automation, or customer analytics – and prioritize them based on business impact and feasibility.
We integrate AI precisely where it delivers results – for example, in automated damage assessment, intelligent maintenance planning, or predictive demand management.
The outcome: tangible efficiency gains and improved performance in daily operations.
We rely on modern, scalable architectures – cloud-native, data mesh, or lakehouse – to ensure that successful pilot projects can be rolled out quickly and securely.
This enables company-wide access to data and analytics in real time.
We help you integrate data into decision-making processes and business models for the long term.
This ensures measurable business impact across all areas – from strategy to day-to-day operations.
We start with a data strategy that is directly aligned with your business goals – whether it’s reducing costs, accelerating processes, or improving customer experiences.
The result is a company-wide roadmap that identifies where data creates the greatest economic impact.
We integrate distributed data sources, ensure data quality, and establish clear governance structures.
The result: a centralized, trusted data foundation that enables reliable analytics, reporting, and AI applications.
Together with your business units, we define use cases with measurable value – such as sales forecasting, process automation, or customer analytics – and prioritize them based on business impact and feasibility.
We integrate AI precisely where it delivers results – for example, in automated damage assessment, intelligent maintenance planning, or predictive demand management.
The outcome: tangible efficiency gains and improved performance in daily operations.
We rely on modern, scalable architectures – cloud-native, data mesh, or lakehouse – to ensure that successful pilot projects can be rolled out quickly and securely.
This enables company-wide access to data and analytics in real time.
We help you integrate data into decision-making processes and business models for the long term.
This ensures measurable business impact across all areas – from strategy to day-to-day operations.
You invest in data, but does it deliver results? With our DST Screening, you can find out where your company really stands. We analyze the status quo of your data landscape, identify untapped potential, and show you where business impact can be realized in the short term. In just a few steps, you will receive:
DST Screening is your pragmatic entry point into data-driven value creation – focused, efficient, and effective.
We make data projects successful because we combine strategy, organization, and technology in a targeted manner. With customers from industry, energy, logistics, and financial services, we know how data can have an economic impact and improve decision-making.
Our team of data strategists, engineers, and AI experts brings strategy and implementation together. We think business-oriented, act pragmatically, and deliver results that last. We work independently of tools and platforms—whether Azure, AWS, Databricks, Qlik, or open source. This means you get solutions that fit your organization and are scalable in the long term.
We do this because we are convinced that data only unleashes its value when it improves decisions, accelerates processes, and makes growth measurable. We work on this every day—together with our customers who want to use data as a real success factor.
That depends heavily on the use case and the data situation. Initial results are often visible after just a few weeks—e.g., through automated reports or simple forecasting models. For more complex AI applications or monetization strategies, we typically plan for 3–6 months until productive use. The important thing is that we start small, scale quickly, and measure the impact continuously.
The costs vary depending on the scope, technology, and degree of integration. We work with modular approaches and transparent cost estimates. We evaluate the ROI based on specific KPIs such as increased sales, reduced process costs, or time-to-market. Many customers recoup their investments within the first year—especially in use cases with a direct impact on sales, production, or customer service.
Data protection is an integral part of every solution. We take GDPR, ISO standards, and industry-specific requirements into account from the outset—both technically and organizationally. This includes, for example, pseudonymization, access controls, audit trails, and clear role models. Our goal: to enable innovation without compromising compliance.
We combine strategic consulting with technical implementation—and always think about data from a business perspective. Our teams work in an interdisciplinary manner: data strategists, engineers, AI experts, and industry experts work together to develop solutions that not only work technically, but also create real economic value.
Yes, and that often makes a real difference. External data can significantly improve existing models or enable entirely new use cases—for example, in demand forecasting, risk assessment, or location analysis. We help you identify suitable sources, integrate them in a legally compliant manner, and use them effectively.
