// About Datadise
Everything works better
when it works together.
Datadise is an Automotive Intelligence Company built by people who understand the industry from the inside.
We bring automotive domain knowledge, business consulting, analytics, architecture and AI together to help importers and dealer groups turn fragmented data and systems into better decisions and measurable business improvement.
Founded in 2022
Interdisciplinary Team
Connected Approach
Data-Driven by Design
AI-First. Human-Led.
Business + Data + Technology
Measurable Business Impact
// THE PEOPLE BEHIND DATADISE
Team built around expertise.
Focused on outcomes.
A multidisciplinary team bringing together automotive, business, data and technology expertise.
Łukasz Papierowski
Daniel Treszczotko
Łukasz Wójcik
Jędrzej Basiński
Arkadiusz Trela
Michał Popiołek
// OUR STORY
We believe everything works better when it works together
Over years of working with importers, dealer groups and automotive brands, we kept seeing the same challenge. Organizations continue to invest in new platforms, tools and implementationxas, yet still struggle to connect data, processes and operations into one cohesive system. That is why DATADISE was founded. We help automotive organizations build environments where data, technology and operations work together to support better decisions and long-term growth. We’ve learned that the biggest challenge is rarely a lack of technology. More often, it is the lack of alignment between people, processes, systems and data. Data is the foundation. Technology is the tool. Business outcomes are the goal.
Automotive Expertise
— We help importers, dealer groups, rental companies and automotive brands build stronger digital environments through data, technology and operational excellence.
— We understand the realities of distributed and multi-location organizations.
Measure. Connect. Improve.
— Our framework is built around four pillars that help organizations develop stronger digital ecosystems.
— Ecosystems build in a structured, scalable and data-driven way. AI-ready.