Your challenges
Isolated data silos and analyses
Lack of scalability for AI applications
Inadequate data governance
Data platform
We connect your data for well-founded decisions
Are you unable to harness the business potential of your data because it is isolated from each other in data silos that are difficult to access? We help you design and implement a scalable, future-ready data platform tailored to your business goals, from data collection to modelling and visualization.
Our expertise enables you to make well-informed, data-driven decisions and lay the foundation for scalable AI applications.
Finding the right platform architecture
A well-designed data platform is key to turning data into a strategic asset. According to a 2022 PwC study, nearly 80% of large enterprises use data platforms such as data warehouses or data lakes to leverage their data effectively.
But one size doesn’t fit all.
Depending on your company’s size, technical maturity, and data expertise, different architectures may be more suitable. Below is a quick guide to help you choose the right concept:
To begin with, isolated data and analysis silos must be avoided.
While a classic data warehouse centralizes the most important structured data for reports and dashboards, a more flexible data lake also enables the use of unstructured data, e.g. for scalable AI applications.
A data lakehouse combines both approaches.
Newer concepts such as a data mesh or a data fabric decentralize data processing again according to domains (but with central governance and value creation), which makes sense if a company has a high level of data competence.
We help you strike the right balance between centralization and decentralization, flexibility and governance—to turn your data into a competitive advantage.
Example: Data Lakehouse with Medallion Architecture
A modern data lakehouse architecture supports the full data lifecycle from import and clean up to modeling, reporting, and API access. This ensures high data quality, traceability, and scalability.
Technology that fits you
Whether you’re running on cloud or on-premises infrastructure, we deliver modular, scalable solutions that integrate seamlessly with your existing systems. Our technology stack ensures long-term viability and supports your evolving needs.
We partner with top-tier providers from the 2024 Gartner® Magic Quadrant for Data Science and ML Platforms — such as Microsoft Fabric and Databricks — and also offer Datahouse-developed on-premise solutions, optionally integrated with Swisscom’s Enterprise Service Cloud.
20+ Years of Experience. 100% Vendor-Independent.
With decades of experience in data architecture and analytics, we offer independent, expert guidance and reliable implementation – from concept to deployment.
Design and implementation of Microsoft Fabric environment for Globalance
«Datahouse’s extensive experience provided us with valuable support in setting up our Microsoft Fabric data platform.»
Daniel Welter, Head of IT & Data, Globalance
Conception and implementation of Databricks Lakehouse for AEW Energie AG
«Datahouse is an important sparring partner for us in the design and development of our Databricks Lakehouse. The collaboration is professional, efficient and characterized by a high level of technical expertise»
Philippe Christen, Data Architect, AEW Energie AG
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Thomas Maier
Director Solutions Engineering
With over a decade of experience in data preparation and modeling, I support our clients in gaining valuable insights and predictions from complex data.
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