- Access Control
- Access Management
- Application
- Business Intelligence
- Cloud
- Cloud Native
- Compliance
- Continuous Integration
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- Data Management
- Data Quality
- Data Warehouse
- Digital Transformation
- Enterprise
- Extract, Load, Transform
- Extract, Transform, Load
- Hybrid Cloud
- Infrastructure-as-Code
- Logging and Monitoring
- Managed Services
- Monitoring
- Network Operator
- on-premises
- Orchestration
- Public Sector
- Services
- Software
- Software-as-a-Service
- Systems Integration
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Who is datapark?
datapark is a Switzerland-based IT services and consulting firm that focuses on data-centric solutions, custom software development, and digitalization projects for enterprises and public-sector organizations.
- Consulting and implementation for data platforms, analytics, and business intelligence (data management and analytics)
- Custom software engineering for web, mobile, and backend systems (application development)
- System integration and interface development between enterprise applications (systems integration)
- Support for cloud adoption, infrastructure, and operations in hybrid environments (cloud services)
- Advisory and project delivery for digital transformation initiatives and process digitalization (IT consulting)
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More About datapark
datapark positions its offerings around the planning, design, and implementation of data and software solutions for organizations that need to modernize their digital infrastructure and data landscape. Its teams typically engage with enterprise stakeholders from business and IT to define requirements, translate them into technical architectures, and deliver solutions that align with existing systems and governance practices. The company’s services cover the full lifecycle from requirements engineering and architecture through development, testing, deployment, and ongoing support.
In the area of data management and analytics (data management and analytics), datapark works on data platforms, reporting environments, and business intelligence solutions. Projects can involve designing data models, building Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines, and integrating data from line-of-business systems such as ERP, CRM, and industry-specific applications. The company makes use of standard relational databases, data warehousing concepts, and common analytics technologies, and aligns implementations with enterprise security, access control, and compliance requirements. Dashboards, reports, and self-service analytics are typically delivered in coordination with business departments to support decision-making processes.
For application development (application development), datapark provides custom engineering services for web and mobile applications as well as backend services and APIs. Architectures often follow established patterns such as multi-tier or microservices-based designs, with RESTful interfaces or comparable service-based integration. The firm focuses on building software that fits into existing enterprise ecosystems, including identity and access management, logging and monitoring frameworks, and deployment pipelines, whether on-premises (on-prem) or in the cloud. Quality assurance practices such as automated testing, code reviews, and Continuous Integration (CI) are part of standard delivery models in this domain.
System integration (systems integration) is another service line, where datapark connects heterogeneous applications and platforms. This may include building interfaces between legacy on-prem systems and newer Software-as-a-Service (SaaS) or cloud-native services, using APIs, messaging, and integration middleware where appropriate. The goal is to enable consistent data flows and process orchestration across departments and external partners while maintaining data quality and auditability.
In cloud services (cloud services), datapark assists clients in planning and executing migrations or hybrid-cloud setups. This includes assessing application and data workloads, defining target architectures, and implementing Infrastructure-as-Code (IaC), containerization, and managed services where supported by the customer’s chosen cloud providers. Governance, cost control, and operational monitoring are included as part of cloud operating models.
Finally, within IT consulting (IT consulting), datapark advises organizations on digitalization strategies, IT roadmaps, and project portfolios. Engagements often cover process analysis, technology selection, and change planning to align IT initiatives with organizational objectives. In an enterprise directory or marketplace context, datapark fits into categories such as data management and analytics services, application development services, systems integration services, and cloud and IT strategy consulting.
Our description of datapark. Updated February 2026.
