DWG Berlin turns digital traces from jobs, firms, cities, and technologies into decision-ready data science.
We track labour, technology, firm, and place-based signals before they appear in official statistics.
Link local observations into comparable global datasets, indicators, dashboards, and research workflows.
Turn complex digital traces into strategic decisions for policy, investment, and institutional change.
Our clients:
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We can help to understand how the economy evolves. We turn digital traces into evidence for strategic foresight on labour markets, technological change to identify the leverage points where interventions can be most effective.
We collect ultra fine-grained data on technological evolution in real time. We track the software development ecosystem and activities on the internet consistently to identify emerging technologies, methods and capabilities before they become visible in official statistics.
sample of yesterday's Global Coding Activity
2026-07-16
Our machine-learning systems track the startup landscape from day one on. Combined with our data on technological potential, our startup radar identifies disruptive future technologies, ecosystem dynamics and the firms most likely to translate them into innovation.
sample of changes to the startup landscape yesterday
We track labour market transitions, especially transitions into new forms of work. By connecting job demand, skills and occupations, we show where the labour market is moving, where bottlenecks emerge and how organisations can move with it.
loading job signals
sampled job postings on the german market
The founder personality quiz makes the insights about the role of personality traits in a founder team for startup success applicable for everyone. The tool allows (aspiring) founders to understand their own founder personality, their best fitting roles in a startup and complementary founder types.
We look at AI and work from a broader angle than just automation risk. With large labour market datasets, including leading online labour platforms, we trace where new tasks, roles and skill needs begin to show up.
We study how digital data can make real estate markets more transparent. Using listings, building-level information, company data and market signals, we analyse how technology, amenities and changing preferences shape urban development.
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