Real-World Data Analytics
A journey focusing on your strategic goals
At Vandage, real-world data analytics is our one and only daily business. We clearly define study objectives and translate them into state-of-the-art study designs and robust methodologies. That ensures high-quality execution of all analyses. In this way, we turn your question into rigorous, publication-ready results with meaningful impact.
Translate strategic questions into research objectives
Translate strategic questions into research objectives
Clearly defined, strategy-driven research objectives set the direction for your entire data journey. They ensure focus, alignment, and that every analysis contributes to answering the questions that matter most.
Translate strategic questions …
… into research objectives
Tailor state-of-the-art study design and methodology
Tailor state-of-the-art study design and methodology
We start by designing a rigorous study protocol that guides every step of the data journey. Through careful pre-specification of modern epidemiological methods we ensure methodological excellence and full compliance with the highest scientific and regulatory standards. This includes:
Execute efficient data analytics
Execute efficient data analytics
Robust, efficient, and quality-assured statistical programming is the engine of our data journey. Our experienced analysts leverage R and Python to operate confidently within advanced, secure analytics environments (e.g., research data centers such as the Forschungsdatenzentrum Gesundheit). By synchronizing data access and programming workflows we ensure rapid delivery of results once data is available.
Deliver meaningful, publication-ready reports
Deliver meaningful, publication-ready reports
Publication is not an obligation – it is an opportunity to maximize the impact of your results. Depending on your strategic objectives, we translate analyses into tailored, decision-relevant outputs that meet the highest scientific and regulatory standards. This includes:
What our clients gain
A structured, reliable analytical process that turns complex real-world data into evidence that can be reviewed, challenged and used with confidence.
call to actionData that fits your purpose
Every journey needs the right fuel
At Vandage, we tailor data precisely to your strategic goals. We work with the only real-world data sources that matter, providing comprehensive insights into the healthcare of about 75 million statutorily insured individuals in Germany. When needed we enable highly granular, indication-specific analyses.
FDZ Gesundheit – Europe’s biggest healthcare market in one database
FDZ Gesundheit – Europe’s biggest healthcare market in one database
Struggling with representativeness issues? Look no further.
With the Forschungsdatenzentrum (FDZ) Gesundheit, anonymized claims data covering all statutorily insured individuals in Germany is now accessible for scientific research for the first time. This enables longitudinal analyses across all patients, providers, and reimbursed services – moving beyond samples or single-payer
datasets. The FDZ is not a data lake, but a governed research environment designed for rigorous, compliant analysis. Its scale, structure, and regulatory clarity are key strengths – while also requiring careful study design and analytical planning to fully realize its potential.
Tailor state-of-the-art study design and methodology
Registry Data – depth where it matters
Where clinical granularity or disease-specific outcomes are essential, registry data enriches population-level analyses. We leverage national and indication-specific registries and know how registry data may complement claims data in a scientifically rigorous way.
By carefully aligning populations, endpoints, and time horizons, we ensure that results are both interpretable and directly actionable for decision-making.
Execute efficient data analytics
Single SHI Data, lab data, and public use files – generating hypotheses, validating assumptions
Beyond FDZ and registry data, we work with a wide range of complementary sources, including single SHI datasets, lab data, public hospital claims, outpatient statistics, pension insurance data, and other accessible datasets.
They play a key role in contextualizing results, validating assumptions, and strengthening study design.
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Vandage GmbH
Detmolder Straße 30
D-33604 Bielefeld
hey@vandage.de