About the service
Dynamics 365 rarely works on its own. Around it run e-commerce, industry systems, data warehouses, and analytics tools. When systems stay disconnected and data is inconsistent, the organisation pays for it with manual work, errors, and decisions made too late.
We integrate Dynamics 365 with the rest of your environment, matching the pattern to the specific case: real-time APIs, event exchange, or bulk processing. We also handle the data itself, that is, migration, quality, and master data management. This way processes move between systems without breaks, and reports show the same numbers as the source systems, with no manual retyping.
Disconnected systems and unordered data cost you every day: in time, errors, and decisions.
The value of an ERP grows when the system freely exchanges data with the rest of the environment. The problem is not integrations as such. The problem is integrations built point by point and data left without governance.
- Data retyped by hand. Copying orders, invoices, and records between systems consumes time and creates errors.
- Data inconsistency. The same customer or product is described differently in each system, which makes reporting and control harder.
- Fragile integrations. Connections built point by point, without a chosen pattern, burden production or fail at updates.
- Data locked in the ERP. Without being exposed externally, it does not reach analytics and AI, so decisions are made on a fragment of the picture.
- Data migration as a risk. Moving history without validation and cleaning introduces errors and duplicates into the new system.
- No data governance. A growing number of sources without classification and access control increases regulatory and leakage risk.
From an integration pattern to ordered, reliable data
Integration design and pattern choice
We decide which connections run in real time, which on events, and which in bulk, and select the tools to match.
Building the integrations
We build APIs and services, business events, and bulk exchange through DMF, on the platform's standard mechanisms and under version control.
Shared data layer (Dataverse)
We sync data shared with Power Platform through dual-write, or expose it without copying through virtual tables.
Data for analytics and AI
We make data available to Microsoft Fabric and OneLake, or through Azure Synapse Link, without loading the production environment.
Migration, quality, and master data
We move data with validation and cleaning, and for master data we establish a single agreed source.
Integration middleware
We orchestrate flows in Azure Integration Services: Logic Apps, Service Bus, API Management, and Functions.
Effects you see in daily work
- Data entered once. An order from e-commerce reaches the ERP, and an invoice reaches accounting, with no human involvement along the way.
- An end to disputes over whose numbers are true. The customer and product are described the same way in every system, so reports from different sources agree.
- Updates stop being an event. Each One Version wave, that is, the cyclical, mandatory Dynamics 365 updates, does not require rebuilding the connections.
- Analytics works on current data. Analytics teams and AI models reach for Dynamics 365 data without exports prepared by hand by IT.
- The new system starts with a clean record. Duplicates and errors from previous systems do not reach the production environment.
- It is clear who has access to which data. Classification and access control are documented and can be demonstrated during an audit.
Products that help us drive change
We integrate the finance and operations applications through the platform's standard mechanisms: OData, business events, the Data Management Framework, and dual-write. We orchestrate complex flows in Azure Integration Services. We expose data for analytics through Link to Microsoft Fabric or Azure Synapse Link, and base data governance on Microsoft Purview.
Proven performance, reliable results
- We start from the requirement, not the tool. First we establish how quickly the data must be on the other side and what happens when it is not there. The technology choice is a consequence, not a starting point.
- We do not bypass the platform for a shortcut. We build integrations where Microsoft intended them, even if a workaround would be faster. A shortcut is paid for at every further update.
- We move data many times before the start. Each further pass shows what is missing and what needs agreeing on the business side. The version that reaches production is the verified one, not the first.
- We test integrations under real load. We check not only whether the data arrives, but also what the connection does to the transactional environment at peak hours.
Why entrust integrations and data to us
- We specialise in Dynamics 365. We know the integration and data mechanisms in the finance and operations applications from daily work, not from documentation.
- We do not build on paths Microsoft is retiring. For analytics we use Link to Microsoft Fabric or Azure Synapse Link. When Microsoft changes the recommended path, we change it with them.
- We know projects that had to be rescued. We have run migrations and project recovery, so we know at which points integrations and data migration fail most often.
- We work in Poland and the United Kingdom. We handle Polish requirements, including KSeF and JPK, and at the same time run implementations spanning multiple countries.
From the initial consultation to a fully operational system
Switching systems doesn't have to mean chaos. We guide you through five steps so that at every stage, it’s clear what is happening, why, and what the next step will be.
Discovery call
Free consultation: we learn about your situation, goals, and constraints. No strings attached and no sales pitch.
Analysis and recommendation
We map processes and requirements, assess platform fit, and recommend the scope, path, and approach.
Plan and decision
Schedule, budget, roles, and decision gates. You make project decisions based on facts, not assumptions.
Phased implementation
We implement step-by-step, with testing, risk control, and reviews at every milestone.
Stabilization and support
Launch with a contingency plan, post-launch support, and transition to ongoing maintenance.
See how we transform tech companies
Microsoft Dynamics 365 Sales implementation for Georg UTZ
OSTP Group
Saller Polbau
S&P Reinforcement
Systems connected, data under control
We start with a map of the flows and an assessment of the current integrations. On that basis, we propose what to connect first and what the data needs putting in order.
There is no single good integration, there is the right one for the requirement
We match the pattern to two things: how quickly the data has to be current and how large the volumes are. It is the first decision in every project and the hardest to reverse later.
Real time (API)
We reach for OData and services when systems must see the same information instantly, for example stock availability.
Events (event-driven)
When another system is to react to a change in Dynamics 365, such as posting a document or a status change, we send a business event.
Bulk exchange (batch)
The Data Management Framework and recurring integrations handle large volumes, for example an overnight price-list sync.
Shared data layer (Dataverse)
Virtual tables expose data to Power Platform without copying, and dual-write keeps the same record on both sides.
Data for analytics (Fabric or Synapse)
Link to Microsoft Fabric replicates data into OneLake and requires no data warehouse of your own. We choose Azure Synapse Link where such a warehouse already exists.
What we do not use: Export to Data Lake
Microsoft retired this feature, so we expose data for analytics only through mechanisms that are still being developed.
Collaboration models
See other services
Functional extensions
Extend the standard capabilities of Dynamics 365 with functions tailored to your business processes and industry requirements.
Migration from Dynamics AX to Dynamics 365
Safely move your data and processes from Dynamics AX to Dynamics 365, minimising risk and using the latest cloud and AI capabilities.
Dynamics 365 environment audit
We will analyse the configuration, performance, and security of your Dynamics 365 environment, pointing out areas to optimise.
Frequently asked questions about Dynamics 365 integrations and data
How do we make Dynamics 365 data available to Power BI and analytics?
Through Link to Microsoft Fabric or Azure Synapse Link. Link to Microsoft Fabric replicates data to OneLake and does not require building your own warehouse. We choose Azure Synapse Link where such a warehouse already exists. Microsoft has retired the earlier Export to Data Lake feature, so we no longer build new solutions on it.
Which integration pattern should you choose: real time or batch?
It depends on the requirement. Real time works when systems have to see the same information immediately. We choose events when another system needs to react to a change in Dynamics 365. Bulk exchange handles large volumes, for example overnight synchronisations. The decision is made during the analysis phase, before the first connection is built.
Won't the integration put load on the production environment?
We design it so that it does not burden the transactional environment. We expose analytics data through a path that does not query the production database, and we match the pattern to the volume. We check the performance impact of the connections before go-live, under real load.
How does data migration in this service differ from a system migration?
The full exit from a legacy system is covered on the migration pages. Here we treat data as a separate discipline: we move it, raise its quality, and clean up master data, including as part of ongoing integrations.
Will you unify our master data: customers, suppliers, products?
Yes. We tidy up master data into a single agreed source across the whole environment and set quality rules. We base classification and access control on Microsoft Purview.
Let's connect your systems and put the data in order
