Elvenite helps operationally complex organisations connect data from ERP and the wider system landscape, build a trusted data foundation and use it to improve how the business works. We bring strategy, data platforms, analytics, automation and AI together in one long-term delivery capability.
From direction and architecture to implemented solutions and continuous improvement.
Most organisations already have data across ERP, planning, production, supply chain, finance, customer systems and documents. The difficulty is making that data consistent, accessible and useful when a decision has to be made or work has to be done.
Data Intelligence combines strategy, governance, data engineering, analytics and automation to turn operational data into better decisions and action. It connects business priorities with the platforms, ownership and working methods needed to make data reliable, reusable and valuable over time.
The aim is not another isolated reporting layer. It is a connected data capability that improves daily operations and creates a dependable foundation for automation and AI.
Some of our customers in Data Intelligence
From direction to operational value
The right starting point depends on the decision, workflow or business problem that needs to improve. Elvenite connects the capabilities required to move from that starting point to a solution that works in practice.
Define where data can create the most value, which use cases should be prioritised and what must be in place to deliver them responsibly. We help shape data strategy, ownership, governance, business definitions and a realistic roadmap tied to business goals.
Bring together data from Infor M3 and the surrounding system landscape through dependable integrations and a scalable architecture. We design and build modern data platforms around the organisation's actual workloads, security requirements, capabilities and existing investments.
Use intelligent applications, automation and AI where the process, data and ownership are ready. We connect models and agents to governed data, clear permissions and measurable workflows so that technology supports the business without becoming an uncontrolled layer beside it.
Put reliable information into the hands of the people who plan, lead and operate the business. This can include shared performance measures, operational alerts, forecasting, planning support, advanced analytics and applications designed around a real decision rather than a technology category.
Put reliable information into the hands of the people who plan, lead and operate the business. This can include shared performance measures, operational alerts, forecasting, planning support, advanced analytics and applications designed around a real decision rather than a technology category.
Where operational understanding matters
Infor M3 holds critical data across the business. Turning it into value takes more than extraction. It requires an understanding of the processes and definitions behind the data.
Elvenite combines M3 expertise with data engineering, analytics and AI to turn operational needs into practical solutions faster.
Our serverless connector moves Infor M3 data into platforms such as Azure, AWS and Microsoft Fabric through a modular, code-defined approach. It reduces dependence on heavy integration tooling and provides a maintainable foundation for analytics, applications and AI.
See how the Elvenite Infor M3 Connector works
Reusable data models and templates for finance, sales, purchasing, inventory and production can shorten the path from raw ERP data to reliable decision support. They provide a starting structure while leaving room for the definitions and priorities that are specific to the business.
The operational platform, data foundation and new applications should move in the same direction. Elvenite brings those capabilities together, reducing handovers and helping customers improve the full connected landscape rather than optimising one isolated layer.
Skellefteå Kraft already had the data but lacked a clear view of its biofuel stock. See how Elvenite helped turn fragmented information into reliable, practical decision support for daily operations.
Evidence from real operations
Start with the value, then build what is needed
Data initiatives become easier to prioritise when the first question is what the business needs to do better. Elvenite can begin with a focused strategy engagement, use-case workshop, architecture review or data-readiness assessment and continue into implementation and long-term development.
Identify the decision, workflow or operational constraint that matters, the people involved and the value that should be measured.
Review the available data, ownership, definitions, integrations, platform constraints and risks that will determine whether the use case can work.
Implement the smallest useful version, test it with real users and representative data, and measure whether it improves the intended outcome.
Strengthen governance, reliability and adoption as the solution expands. Elvenite can remain involved through platform operations, support and continuous development.
A specialist partner for the connected landscape
We work close to the processes where data is created and used, helping teams interpret ERP and operational data correctly and build solutions that fit daily work.
We connect direction with data engineering, analytics, applications, AI and organisational adoption.
We work across Azure, AWS, Microsoft Fabric and other established platforms, shaping architecture around workloads, governance, existing investments and operating capability.
We stay involved as platforms, measures, models and applications need to develop with the business.
Your next data decision
You may need a clearer data strategy, a more dependable platform, better access to Infor M3 data or a practical starting point for automation and AI.
Tell us which decision, workflow or business outcome needs to improve. We will bring the right combination of business, ERP, data-platform and AI expertise into the conversation.
FAQ
For us, data intelligence is not about creating more reports or dashboards, but about building decision support that is actually used in everyday work. It includes structure, analysis, prediction, and automation, with a clear connection to business goals and measurable impact.
Many organizations already have BI, but mainly use it for historical reporting. Data intelligence focuses on supporting forward looking decisions that are integrated into business processes, rather than only showing what has already happened.
We start from infor M3 as the operational foundation and treat erp data as a strategic asset. Our work focuses on making m3 data accessible, reliable, and usable for analytics, planning, ai, and automation, without disrupting core operations.
AI is relevant only when there is a clear business problem to solve. We do not work with ai as an experiment or side project, but as a way to improve decisions, streamline processes, and create measurable business value where it truly matters.
By starting from business decisions and ways of working rather than from technology. We focus on user centric solutions, clear ownership, and integration into existing processes, not isolated analytics environments.
That depends on the starting point, but with the right prioritization it is often possible to create tangible business value within months, not years. Our accelerators and proven ways of working reduce the time from initiative to impact.
Not necessarily. We adapt architecture and platform choices to the existing system landscape and business needs. In many cases, it is possible to build on existing solutions and modernize the data platform gradually.
All initiatives are tied to concrete business objectives, such as cost savings, improved planning, reduced waste, or better capital efficiency. If an initiative cannot be linked to measurable impact, it is not prioritized.
It is particularly relevant for organizations with complex operations, large data volumes, and high demands on decision making, often within manufacturing, food, fmcg, and retail, and frequently with infor m3 as their erp system.
A good first step is to jointly identify which decisions are most critical in your organization today and where data and analytics can make the greatest difference. From there, we can prioritize the right initiatives and define a clear path forward. Read more about our workshops, which are an excellent way to start the journey.
