Valcon & Databricks: Powering innovation together
At Valcon, we believe in AI and data driven transformation. We bring this to life by integrating consulting, technology and data capabilities.
Our partnership with Databricks enables us to deliver on this vision – helping clients harness the power of the Lakehouse to simplify their data landscape, accelerate AI adoption and deliver lasting impact.
Valcon & Databricks
A partnership built to accelerate data innovation
Since 2021, Valcon has been a proven Databricks partner, achieving Elite Partner status as the first consultancy in the Benelux to reach this recognition. Our team of 100+ Databricks certified professionals and 7 Databricks Champions work daily with clients to deliver Databricks solutions – from Lakehouse migrations and Unity Catalog implementations to AI deployment and governance.
We are trusted by leading organisations to deliver Databricks enabled transformations that combine strategy, data and technology.
Business benefits
What this means for our clients
Unmatched Databricks expertise
Elite Partner status, a strong track record in Lakehouse and Unity Catalog implementations, and 100+ certified consultants delivering Databricks programmes across Europe.
AI and advanced analytics at scale
Valcon combines Databricks technology with deep AI and data science expertise, enabling clients to unlock real-time insights, deploy AI use cases, and govern data across the enterprise.
End-to-end transformation delivery
From strategic advisory through to implementation and adoption, Valcon helps clients realise measurable business outcomes with Databricks at the core of their data platform.
What we deliver together
Valcon and Databricks bring transformative solutions that help organisations:
Data & AI
Harness Databricks Lakehouse and AI for faster, actionable insights
Cloud modernisation
Simplify complex data landscapes with scalable, cloud-native architectures
Business outcomes
Deliver measurable business outcomes through seamless alignment of strategy, data and technology
Valcon Accelerators
Valcon Agent Management Solution
The Valcon Agent Management Solution is a specialised toolbox that enhances traceability, evaluation, and monitoring throughout your AI development workflow on Databricks. It consists of modular code components that integrate seamlessly with MLflow and Databricks features, enabling teams to track every change, validate performance, and maintain compliance without slowing down innovation.
Solution highlights
- End-to-end traceability
Automatically capture and log every modification, including prompts, parameters, and code, within Databricks Unity Catalog as part of your CI/CD pipeline. - Integrated evaluation workflow
Validate new versions against curated or dynamic datasets using auto-generated Databricks labeling sessions. - Business-friendly quality checks
Enable domain experts to review and approve model performance through structured, automated workflows.
- Framework-agnostic compatibility
Works with leading AI development libraries like LangGraph and any MLflow-supported model. - Continuous monitoring
Schedule periodic evaluations to detect model drift and maintain ongoing performance assurance. - Compliance built-in
Deliver a unified, auditable record of versions, evaluations, and approvals to meet compliance requirements with ease.
How to get started
Ready to embed compliance-by-design into your AI development lifecycle? Here’s what you can do:
- Explore our case study
Dive deeper into the solution and its benefits in our detailed case study: - Connect with us
Using the form at the bottom of the page
Success stories
We’ve partnered with clients across various industries, delivering exceptional outcomes. Explore some of our success stories to see the impact we’ve made.
Click on the cards to view more content below
Modernising a Global Data Warehouse with Databricks
Accelerating retail availability reporting with Databricks and Power BI
Databricks
AWS
Modernising a Global Data Warehouse with Databricks
This is what we have achieved:
- 240 analysts from local markets and domain teams onboarded onto the new platform
- 3PB of data migrated, alongside 410 dashboards, 205 ETL containers and 600 scripts to Databricks
- End-users reported excellent support and clear communication throughout the data warehouse migration
- Accelerated delivery enabled immediate creation of new data products (SQL, Python, ML) and real-time collaboration
After the acquisition of a classifieds group in 2021, the acquiring organisation had to take over systems that used to be delivered by the former holding company. One of those systems was the on-premise Global Data Warehouse, which enabled both global and local analytics functions and offered standardised global metrics, reports and dashboards across legacy markets. The goal of the consultancy was to support the organisation to detach this on-premise Data Warehouse and move it to AWS in combination with Databricks.
The consultancy specifically partnered on project management skills and the technical skills to set up the architecture of Databricks as part of the target platform and market enablement support, in which change management and training were included to realise sustainable results.
The project team, consisting of 60 employees distributed across several workstreams, realised the migration in a year. During the mobilisation and discovery phase, a detailed analysis of the target strategy (including POCs), delivery approach, costs and timelines were delivered. During the delivery phase, the target platform was developed, tested and complied with the client’s data mesh principles, including decentralised data access management. In addition, the market enablement team was responsible for training and guiding end-users towards the adoption of the new data warehouse.
Databricks
Power BI
Microsoft
Accelerating retail availability reporting with Databricks and Power BI
This is what we have achieved:
- Reduced data processing time from 10 hours to 1 hour across 8–10 source systems, delivering 90% faster data availability within agreed business SLAs
- Increased data availability for decision-making by up to 20×, enabling richer and more timely insights
- Enabled analysts to query more than 3 years of historical data, compared to the previous 8-week reporting window
- Improved performance, data quality, security and governance through Databricks Unity Catalog and Power BI
- Provided users with more time and more data to make critical availability decisions
- Contributed to reductions in lost sales and improved customer satisfaction, resulting in up to a 0.9% reduction in lost revenue
Reporting on availability KPIs is a critical process within this home furniture Retailer aiming to reduce the number of sales lost due to insufficient stock levels at stores and increasing customer satisfaction. It has a weekly usage of 1700 users across all of the company and reports on 4 million item combinations at 500+ locations. Previously, the report was fully built on top of an Oracle DWH and Qlik. The DWH is regarded as a legacy system and the company aims to have migrated all reporting from Qlik to Power BI by 2025. Furthermore, the existing solution failed to meet business SLAs and provided insufficient data for analysts to perform critical analyses.
Valcon partnered with Databricks and Microsoft to fully transition the application to the company’s state of the art IDNAP data platform. The backend has been recreated and redesigned in Databricks Unity Catalogue and the front-end has been transitioned to Power BI. During the transition, several improvement were made to increase performance and data quality and known issues to business logic were fixed, while Unity Catalogue adds improved security and governance on the data models
Ready to transform with confidence?
Let’s explore how our Databricks-powered solutions can fuel your next wave of transformation. Reach out to: