Mimacom is excited to announce a new partnership with Databricks, the data and AI company behind the widely adopted lakehouse architecture. The collaboration will help Mimacom customers make better use of the data they already collect, unlocking insights faster, making automation smarter, and enabling them to build new digital services powered by artificial intelligence.
For many companies today, the problem is not data scarcity but data fragmentation. Information lives in different clouds, business systems, spreadsheets, and tools. This makes it difficult to work with, slows down decision-making, and limits the scope of their AI ambitions. Databricks addresses this by providing a single platform where all data – regardless of source or format – can be stored, cleaned, analyzed, and used to build machine-learning models. It gives every data-focused team a shared environment and a common way of working.
Historically, organizations used data lakes to store raw information and data warehouses to run analytics and reporting. Running both systems in parallel created duplication, complexity, and unnecessary cost.
The lakehouse model introduced by Databricks brings these worlds together. It allows companies to:
Store all their data in one place
Maintain consistent, reliable data quality
Use the same data for dashboards, automation, and AI – without extra copying or translation
This is increasingly relevant as businesses seek to make decisions faster, experiment with AI, and scale digital services without building more technical debt. However, while Databricks provides the technology foundation, organizations still need the right data strategy, architecture, and technical implementation to unlock its full value.
This is where Mimacom plays a central role. Mimacom’s teams help companies move existing data into the lakehouse, design efficient pipelines, and build the operational and customer-facing applications that make insights actionable. The partnership ensures that the lakehouse is not just deployed, but used meaningfully and measurably.
When the lakehouse model is in place and data is no longer fragmented, its impact becomes visible quickly. In manufacturing, production machinery now generates a constant stream of sensor data. When this data is processed through the Databricks platform, issues can be spotted early and maintenance can be planned before failures occur, keeping factories running smoothly and reducing unplanned downtime.
Financial institutions are applying the same principles to live transaction data. Databricks enables banks and fintech firms to detect fraud in real time, rather than after the fact, while also supporting more accurate risk assessment and customer-tailored financial services, all based on well-governed, transparent data. Meanwhile, in retail, businesses are bringing together online browsing patterns, in-store sales, and supply chain information. This gives retailers a clearer view of what customers want and when.
Across these industries, the value is consistent: when data is unified and accessible, decisions become faster, clearer, and more grounded in what’s actually happening.
“Our partnership with Databricks enables us to help customers move beyond simply storing data — we help them use it. Databricks provides a powerful, unified platform, and Mimacom brings the practical implementation expertise to turn that platform into measurable business outcomes. Together, we are accelerating our customers’ ability to innovate with data and AI.”
José Ricardo Pla Pons
Director Customer & Technology AdvisoryWhat Comes Next
Mimacom will provide consulting, data architecture design, platform integration, and solution development for organizations adopting the lakehouse model. The partnership strengthens Mimacom’s role in delivering end-to-end AI solutions, from data foundations to intelligent digital products.
If you’d like to explore how the Databricks lakehouse model could work within your organization, the Mimacom team is here to help. Get in touch to discuss use cases, architecture, and implementation pathways.