How we deliver measurable value to our clients
Explore the organizations we have delivered for, and read in-depth stories of how we solved specific data challenges. Our references show who we work with; our case studies go deep on the challenge, the solution, and the measurable business impact.
Our client work
Case studyManufacturingMigrating 40,000+ data objects from WhereScape to dbt in six months
We replaced a legacy WhereScape data-warehouse automation platform with dbt. Using an automated, Python-based framework, we migrated 40,000+ database objects 1:1 in six months, with no downtime and the Data Vault model fully preserved.
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Case studyPharmaCutting VAT reporting compute costs by over 80% on Snowflake
We rebuilt a costly, hard-to-maintain reporting pipeline into a lean, modular Snowflake setup that is cheaper and faster to run, with identical outputs.
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Case studyPharmaReducing cloud data platform costs by more than 40%
We tuned the platform’s heaviest workloads and data model to cut cloud spend significantly, without touching reporting.
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Case studyPharmaUnifying 30+ medical and R&D reports on a single Snowflake data mart
We replaced manual Veeva exports and scattered Excel files with one governed Snowflake data mart, giving medical and R&D teams a single, trusted view.
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Case studyPharmaEliminating 27 daily manual SAP extracts with automated Snowflake reporting
We automated the manual SAP extracts behind daily operations, so teams get shift-ready data without the repeated manual refresh.
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Case studyPharmaOne finance data & analytics platform on cloud with scalable architecture
We designed a modular, scalable cloud platform on AWS that grew from a single finance use case into one governed foundation for finance analytics.
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Case studyPharmaEstablishing a central data observability platform based on a vendor market tool
We ran a structured, two-phase vendor evaluation and rolled out one enterprise data-observability platform, unifying monitoring across the analytical stack.
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Case studyPharmaOne platform for data observability across global data divisions
We built a modular, cloud-native observability platform on AWS that centralizes metadata and monitoring across the data divisions.
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Case studyPharmaReplacing a fragmented legacy landscape with a single governed cloud data hub
We moved a fragmented legacy landscape onto one governed cloud hub, standardizing how data is modeled, deployed and governed.
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Case studyPharmaUnifying master data across three domains for Global Market Access
We replaced conflicting definitions across systems with one governed model for the core domains, giving analytics an authoritative source to build on.
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Case studyPharmaUnifying 15+ source systems into one governed data warehouse
We consolidated fragmented IT-operations data from many systems into one governed warehouse with reliable, automated daily loads.
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ReferenceBanking & FinanceKomerční banka
We systematically design and implement functional data warehouse (DWH) enhancements for Komerční banka. Beyond standard BI services, we’ve developed a new information management strategy for the Global Competence Centre unit. Additionally, we provide Komerční banka with our Dawiso platform, enabling the management of metadata from over 170,000 DWH tables, hundreds of reports, and thousands of terms across various dictionaries—all in one centralised location.
ReferencePharmaMerck
We successfully deployed a Big Data integration platform for one of the world’s largest pharmaceutical companies. As part of the Architecture EIM team, we constantly propose ideas to improve processes and integrate innovative approaches across projects. Our team offers expert consultancy in data modelling and governance of both data and data models. Our consultants have strong expertise in project management and Scrum mastering within agile teams.
ReferenceEnergyČEZ
After years of using a robust yet aging system, ČEZ entrusted us with migrating its documentation to a modern platform. We ensured rapid and complete data transfer while adhering to strict security protocols by deploying Dawiso “on-premises” within ČEZ’s IT network. Our delivery covered user training, smooth implementation, and continued support.
ReferenceManufacturingStora Enso
At Stora Enso, we were entrusted with implementing and managing WhereScape to ensure seamless integration within the complex environment of a large multinational company. We established best practices, designed the structure and functionality of the data warehouse, and have continuously supported its long-term development through necessary updates and ongoing system improvements.
ReferenceInsuranceKooperativa
As a trusted long-term partner in strategic information management planning, we’ve supported Kooperativa in setting up effective BI development processes and, more recently, in implementing a new data portal. Powered by our proprietary Dawiso platform, this portal serves as a central hub for all data-related information.
ReferenceManufacturingPhilip Morris International
In 2019, UD4D began a long-term cooperation on a new corporate data system project, leveraging modern technologies and methodologies. Our primary role involves setting up the environment and establishing best practices for development and automation using WhereScape tools. We also design the architecture based on the DataVault methodology and actively contribute to the development of numerous data products.
ReferenceBanking & FinanceČSOB
In an international BI project, our role was to establish a new development framework for seamless data transformation between DWH and design an integrated data quality framework that addresses both technical and procedural needs.
ReferenceInsuranceGenerali Česká pojišťovna
By analysing top management’s needs and the state of BI & DWH, we proposed alternative recommendations focused on long-term sustainability and reducing TCO. These formed the basis for an approved BI & DWH strategy. For Generali, we migrated their reporting solution to a new platform, established methodologies and best practices, optimised processes, and developed enhanced reports.
ReferenceBanking & FinanceBNP Paribas
We provide expert advisory services to multiple entities within the BNP Paribas financial group on development automation using WhereScape. We actively contribute to the development of large-scale data solutions, both at the group and local levels. Additionally, we are involved in integrating new data sources, designing their integration, and successful delivery to end customers.
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