Challenges
A single data foundation in OneLake, with sources connected by reference, without moving or duplicating them.
Power BI built into the platform and everyday work tools, with models that give data a shared meaning.
Real-time analytics where an immediate response matters, on data straight from the source.
Custom agents in Copilot Studio grounded in a shared data foundation, from answering questions to carrying out actions.
Microsoft Purview built into the platform, with access control, classification, sensitivity labels, and auditing, including for AI agents.
One data platform instead of many tools and copies, with integration, a data lake, analytics, and AI in one.
One reliable source of data instead of copies.
Decisions on trusted data without waiting for a report.
A response while it still matters.
AI that gets beyond the pilot, where the work actually happens.
AI and analytics developed under control, without slowing the pace.
Lower total cost of ownership and a shorter path to go-live.
About this field
Companies today do not suffer from a lack of data but from its fragmentation: the numbers live in systems, spreadsheets, and reports that cannot be reconciled with one another. ANEGIS puts this area in order on the Microsoft data platform: a single source of data in Microsoft Fabric, analytics in Power BI, and AI and agents embedded in the processes, so decisions are made on current numbers.
A solution for You
Wherever decisions, costs, and risks depend on the quality and availability of data, from manufacturing and distribution to engineering, construction, and professional services.
Industries
Products and solutions that deliver this value
The foundation of this area is Microsoft Fabric with the OneLake data lake, on which Power BI analytics runs, with governance provided by Microsoft Purview. Copilot, along with Copilot Studio and AI Builder within Power Platform, adds the AI layer. ANEGIS solutions extend the scope, including the generative assistant (AGA).
A clear, structured path for change in your company
Switching systems doesn't have to mean chaos. We guide you through four simple steps, ensuring that at every stage, you know exactly what is happening, why it’s happening, and what comes next.
Needs Analysis
We get to know your situation, processes, and goals. Together, we determine what needs to change and how we will measure the success of that change.
Choosing the Right Solutions
We recommend the scope, path, and variant, always starting with standard options. You make your decisions based on facts, not assumptions.
Roadmap
Schedule, budget, roles, and decision gates. Everyone knows who is responsible for what and when decisions are made.
Implementation and monitoring
We implement in stages, incorporating testing and risk management, and once live, we stabilize the system and transition to ongoing support.
The value of organizing this area
Putting data, analytics, and AI in order on a single platform translates into measurable results:
One reliable source of data, and an end to copying between warehouses and tools.
Decisions on current data, with analytics and real time instead of weeks-old reports.
AI that gets beyond the pilot, because it runs on an organised data foundation.
Automation of data-driven processes, with Copilot and agents where the work actually happens.
Data governance and security, with access control, classification, and auditing in one place.
Lower cost of ownership and a shorter time to value, one platform instead of many tools.
See how we're transforming tech companies
Becker Manufacturing: ERP transformation
Microsoft Dynamics 365 modernisation for a global advertising holding
New Yorker
Saller Polbau
S&P Reinforcement
Let's see how Dynamics 365 can transform your business
We implement, develop, and maintain Microsoft systems: from finance and operations to data and AI. Let’s start with a free consultation about your current situation.
Why entrust this area to us
- An exclusive focus on Dynamics 365 and the Microsoft platform, with data and AI on the same platform your ERP runs on.
- Data where it is created: analytics and AI directly on data from Dynamics 365 and Microsoft 365, with no parallel infrastructure.
- Governance and security from the start: access control, classification, and auditing in Microsoft Purview as part of the solution, not an add-on.
- A presence in Poland and the UK, with local implementations and international projects.
- The Success by Design methodology, risk control, and our own solutions (including AGA); we also take on the recovery of at-risk projects.
Check out other fields
Finance and compliance
Smoother finance and compliance maintained automatically: from period close to KSeF, JPK, and reporting, across multiple companies and currencies.
Human capital
Effective HR and data-based people decisions: from recruitment to development, with one source of employee data and less admin.
Production and supply chain
A resilient supply chain and efficient manufacturing: from demand forecast to delivery, with a higher level of service and better-used working capital.
Frequently asked questions about the data, analytics, and AI area
Do we need a separate data warehouse alongside Dynamics 365?
Not always. Microsoft Fabric brings together data from Dynamics 365 and other sources in a single OneLake data lake, and you connect external sources by reference, without moving them. This removes a large part of the copying and the separate warehouses.
How does Microsoft Fabric differ from Power BI?
Power BI is the analytics and reporting layer. Microsoft Fabric is the broader data platform, covering integration, a data lake, a warehouse, real time, and AI, with Power BI built in. Power BI shows the data; Fabric collects and organises it.
Will AI work on our Dynamics 365 data?
Yes. Copilot is built into Dynamics 365 and Microsoft 365, and we ground custom agents and analytics in the data from your systems, connected through a shared data foundation.
How do we keep security and compliance under control with AI?
Through Microsoft Purview, built into the platform: access control, classification and sensitivity labels, and auditing, covering AI agents as well. We design security in from the start, rather than adding it after the fact.
Where do you start?
With an assessment of your current data, reporting, and goals for AI. On that basis we recommend the scope and sequence of work; see the Pre-implementation audit or Integrations and data.
Let's talk about your data and AI
