AI Ready Data that Fuels Enterprise Transformation
Foundations, governance and platforms that make AI usable, trusted and scalable.
AI initiatives often stall because the data behind them is fragmented, inconsistent or difficult to govern. When information is spread across operational systems, documents and business units, organizations struggle to establish a reliable foundation for analytics, automation and enterprise AI.
Only 7% of organizations have fully scaled AI across the enterprise. McKinsey identifies data readiness as a central constraint and highlights the need to connect structured and unstructured information within governed, traceable and reusable foundations.
ELCA works side by side with clients’ business and technology teams to build trusted data foundations for analytics and AI. Combining strategic consulting with hands-on implementation, we help clients define the right governance, architecture and operating model, then deliver the platforms, integrations and controls required to turn data into a trusted business asset.
What you get
When data is fragmented across systems and business units, organizations face slow decision-making, inconsistent reporting, regulatory risks, and AI projects that struggle to move beyond pilot stages. ELCA helps clients address these challenges in line with their organization’s objectives, operational realities and existing technology landscape.
More trusted decision-making.
Higher data quality, transparency and lineage give teams greater confidence in the information used for operational and strategic decisions.
AI-ready data foundations.
Governed, scalable and reusable data foundations help organizations move AI initiatives from experimentation towards production.
Reduced compliance risk.
Clear ownership, policies and controls support compliance with the Swiss Data Protection Act, GDPR, the EU AI Act and relevant industry requirements.
Faster access to insights.
Connected data platforms and reliable integration make relevant information more readily available for analytics, reporting and operational use.
Greater business agility.
Reusable data products and self-service analytics allow teams to respond to new needs while maintaining shared standards and governance.
Lower operational complexity.
Standardized architectures, data pipelines and platform services reduce duplication, simplify integration and make the data landscape easier to maintain and evolve.
Our approach
ELCA combines strategic consulting with hands-on engineering to help organizations build trusted, scalable data foundations. From strategy, governance and architecture to platform implementation, integration and evolution, we turn data initiatives into operational solutions that create business value.
Our approach adapts to each client’s needs, whether providing targeted expertise or supporting broader transformation programs. Combining consulting, engineering and delivery capabilities, we support cloud, on-premises and hybrid environments across the full lifecycle.
Data Strategy & Governance
Clear direction and governance for trusted, scalable data.
We work with business and technology teams to translate organizational priorities into a practical data strategy, roadmap and governance model. The work can cover decision rights, ownership, policies, architecture principles and the prioritization of data and AI initiatives. The resulting framework is shaped around the client’s organization, risk profile and applicable requirements, including the Swiss Data Protection Act, GDPR and, where relevant, the EU AI Act.
Data Platform Engineering
A scalable foundation for analytics, operations and AI.
We design and implement modern data platforms that provide the foundation for analytics, reporting and AI. Our architects and engineers define the technology, architecture and operating model that best fit the organization’s needs, whether in the cloud, on premises or in a hybrid environment. Solutions can leverage technologies such as Microsoft Fabric, Databricks and AWS, and are designed for performance, scalability, security and long-term evolution.
Data Integration & Data Hub
Connected information and simpler operational integration.
We connect applications, operational systems and external data sources so information can move reliably across the organization. From near-real-time integration to batch and event-driven architectures, we simplify data exchange and reduce dependency on complex point-to-point interfaces. A tailored Operational Data Hub provides a consistent foundation for operational processes, analytics and business intelligence while improving data quality, interoperability and scalability.
Data Quality & Lineage
Reliable data with visible origins and transformations.
We define and implement controls that make data quality measurable and transparent from source to consumption. This may include business-specific validation rules, monitoring and traceability across pipelines and platforms.
These capabilities support more consistent reporting, improve confidence in analytics and make it easier to investigate issues or demonstrate how information has been processed. For AI, lineage and governance are especially important because structured and unstructured content can pass through several transformations before contributing to an output.
Data Products & Data Mesh
Reusable data products with accountable domain ownership.
We help organizations establish reusable data products with clear ownership, shared standards and federated governance. This enables business domains to publish, manage and consume trusted data while maintaining consistency across the enterprise. The result is a scalable operating model that encourages data reuse, reduces duplication and supports the delivery of new analytics and AI use cases.
AI-Powered Self-Service BI
Accessible analytics for faster, well-informed decisions.
We enable business users to access insights faster through self-service analytics, natural-language querying and AI-assisted exploration. By making governed data easier to access and understand, organizations can reduce dependency on specialist teams while maintaining security, consistency and control. Implementations can include cloud data platforms and tools such as Power BI, alongside other analytics and AI capabilities suited to the client’s needs.
Why ELCA
End-to-end Data & AI expertise.
Strategy, governance, architecture, engineering and machine learning specialists work as one team, taking data initiatives from roadmap to production.
Business and technology under one roof.
ELCA connects strategic consulting with hands-on implementation, aligning each solution with our client’s objectives, operations, technology landscape and governance needs.
Accelerated platform deployment.
ELCA’s Databricks-based Data Platform as a Service provides a production-ready platform in days and enables a first AI use case in weeks rather than months.
Swiss-hosted and sovereign options.
Secure cloud platforms with Swiss data residency and fully autonomous, open-source, on-premises solutions support sensitive and mission-critical environments.
Flexible delivery model.
Local Swiss teams work side by side with clients, supported by nearshore and offshore capabilities for additional expertise, capacity and cost-effective scaling.
Collaborative transformation.
We co-create with business and technology stakeholders, combining their organizational knowledge with our consulting and technical expertise, so solutions reflect each client’s objectives, processes, technology landscape, and governance requirements.
Independent guidance.
As a leading independent Swiss IT services provider, we recommend technologies, architectures, and delivery models according to each client’s business goals, existing environment, regulatory context, and long-term interests.
Strong regulatory and industry experience.
ELCA delivers mission-critical data solutions across banking, insurance, healthcare, energy and public services, with governance aligned to data protection, AI and sector-specific requirements.
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Speak to an expert
Our data intelligence specialists are available to discuss your requirements, answer technical or governance questions, and help you build the right data foundation for your organization.