DataRiseLab Sp. z o.o.

DataRiseLab is a Poland-based data consultancy founded and led by Kamil Dzięgielewski (CEO, 15+ years in strategic and technology consulting) and Marcin Rawicki (CTO, Data and Analytics Solution Architect). The firm specializes in data warehousing, cloud infrastructure, business intelligence platforms, and machine learning implementations. Team members have worked across financial services, retail, mining, automotive, telecommunications, utilities, and public sector clients in Europe and globally. Łukasz Czech, a board member with eight years of database specialization (IBM Db2 UCS), rounds out the named leadership.

Services and capabilities

DataRiseLab's core offering spans four pillars. On data and analytics, the firm builds data warehouses, integrates data from multiple sources, designs data models and BI reporting platforms, runs advanced analytics work, and manages Master Data with emphasis on quality and security. For business applications, they develop dedicated software, integrate applications with data warehouses and BI platforms, provide industry-specific solutions (finance, restaurants, real estate), and handle technical support and maintenance. Their cloud practice includes infrastructure analysis paired with migration planning, solution design and migration to cloud environments, and optimization and ongoing management. On AI and machine learning, they build predictive analytics systems (customer behavior forecasting, pricing optimization, demand forecasting), machine learning solutions for process automation, recommendation engines, and generative models for text summarization and content creation.

The firm works explicitly with Azure cloud (mentioned across multiple client projects), Microsoft technologies including PowerApps, Google Analytics integrations, and ETL/ELT tooling. Their methodology emphasizes business understanding before technical design, with documented stages covering understanding and ideation, solution design and architecture, implementation and testing, support and maintenance, plus overlaid governance strategy, project management, and regulatory compliance (GDPR explicitly mentioned).

Notable work

Rex Concepts implemented a financial reporting and management-by-objectives system across two brands in three countries. The client noted DRL's development competence combined with business knowledge, describing the team as responsive and agile in decision-making and change management. At B2 Impact ASA, an investment firm, DataRiseLab helped modernize core data processes, their group BI platform, valuations tooling, and cloud infrastructure over multiple years. Selsey conducted a proof-of-concept for a data architecture and reporting platform on Microsoft Azure, which included infrastructure setup in Azure, business requirements analysis, cloud data warehouse implementation, data source integration (including Google Analytics), ETL pipeline design, BI reporting, PowerApps deployment, data governance planning, and end-user training. Vapiano, the restaurant chain, saw reduced system maintenance costs and solution simplification after DataRiseLab took over operations from a previous partner. A large e-commerce furniture retailer ran a two-month proof-of-concept to test data technology feasibility, with DRL demonstrating ability to connect raw data, process it, and visualize it under tight timelines. FR L'Osteria SE (restaurant group) engaged DataRiseLab on a strategic project with complex data structures and custom applications for critical business processes.

How they work

DataRiseLab operates on a project-based model. Engagement typically includes a discovery phase (understanding business and ideation), followed by solution design and architecture, implementation with testing and commissioning, then handoff to support and maintenance. One client project ran two months from order signature to implementation quote. The firm operates globally and accepts work across time zones. Their approach pairs project managers with client-side counterparts to reduce latency and surface risks early. They emphasize GDPR and regulatory compliance in solution design. Pricing and fixed-cost options are not disclosed in available materials.