Forecasting developments early
Sales, demand, customer behavior or maintenance needs become predictable and easier to plan on the basis of historical and current data.
Data & Analytics: reporting, business intelligence and AI
Is your company data spread across ERP, CRM, Excel and cloud services? Are reports created manually, do key figures differ from department to department and do important insights stay hidden? Then it becomes hard to use data deliberately for corporate management and decisions.
agenic brings your data together on one central platform and lays the foundation for modern reporting, business intelligence and data analytics
Challenges
Scattered data makes reporting and well-founded decisions difficult
Today, company data is created in ERP, CRM, Excel and cloud systems. Without a central data basis and consistent key figures, the result is manual analyses, contradictory reports and laborious coordination processes. Valuable insights stay hidden or are only recognized once important decisions have already been made. With a central data platform you create transparency across all areas of the company. Reporting and dashboards are automated, everyone involved works with the same data and decisions are based on reliable information. This way you gain real value from your data and recognize developments early instead of only reacting to them.
AI & data
Data as the basis for forecasts, AI and data agents
Usable AI grows out of a reliable data basis
Reliable data is the foundation of every AI
In many companies, reporting shows what has already happened. The real value emerges when companies recognize patterns, predict developments and make knowledge easier to access. Modern analytics, AI solutions and AI agents make exactly that possible. The prerequisite, though, is always a complete, current and consistent data basis. That applies whether companies use standard solutions or develop custom AI applications and AI agents. Only when data from different systems is brought together, structured and made trustworthy can AI agents deliver reliable results.
agenic helps you provide data centrally, raise data quality and make prepared data usable for analytics, AI applications and agents. That way AI does not stay a showcase but brings real value for your people and processes.
What becomes possible on an AI-ready data basis
Developing your own efficient AI agents
Whether copilot, service agent, knowledge agent or custom AI application: a structured data basis ensures that AI agents can access current, dependable information and deliver sensible results.
Spotting anomalies early
Unusual patterns in revenue, production, logistics or IT security stand out early and allow faster intervention.
Making company knowledge easier to access
AI agents help employees find information faster, recognize connections and use knowledge from different systems more efficiently.
Analyzing data with Copilot in Power BI
Departments can ask questions in natural language, interpret reports faster and summarize analysis results understandably. This requires suitable semantic models, permissions and a supported environment.
Developing forecasting and AI models on company data
Models can be developed, trained and deployed in Microsoft Fabric directly within the shared data platform, without switching between different tools.
Accessing company data quickly
Employees get answers from Fabric Data Agents out of released lakehouses, warehouses or Power BI semantic models. The agents respect existing governance and permission structures and only provide released information.
Automating data-driven processes
Fabric Activator monitors data for defined conditions and triggers notifications or automated processes when needed, for example via Power Automate.
Decision aid
The right platform for your data
The right next step depends on where your data stands today
Many routes into data analytics start with the same question: is a strong reporting tool enough, or does it take a central platform? The answer depends on your starting position. Together we look at your data sources, your goals and your current maturity and recommend the route that makes sense for you.
When Microsoft Fabric is the right step
Microsoft Fabric becomes interesting as soon as data sits in different systems and a unified data basis is needed for reports. As a central platform, Fabric brings all data and analytics workloads together – with OneLake as the shared data basis, automated data engineering, real-time analysis and governance through Microsoft Purview. Power BI is already part of Fabric, so your reporting grows with it seamlessly.
When Power BI is the right entry point
Power BI is very well suited to individual reports straight from one or a few data sources, or as an analysis layer on top of an existing data platform. Interactive dashboards, self-service analysis and a continuous view from operational reporting to the management cockpit take shape quickly here, in a familiar interface. A good starting point when you need sound decision-making material at short notice.
Which tool is right for your requirements?
Power BI and Microsoft Fabric meet different requirements and build on each other at the same time. Whether a reporting tool is enough or a central data platform makes sense depends above all on your data landscape, your analysis goals and the degree of automation you want. The following overview helps you place your starting situation.
| Your starting position | Suitable technology |
|---|---|
| Your data sits largely centrally, what is mainly missing is a clear overview | Power BI for dashboards & self-service reporting |
| Your data is spread across many systems and needs a lot of manual preparation | Microsoft Fabric as a central data platform with OneLake |
| Real-time data from machines, IoT or the web should take effect immediately | Microsoft Fabric with Real-Time Intelligence |
| Your reporting is in place and you want to use forecasts and AI | Microsoft Fabric and Data Science / Power BI with Copilot |
References
Successful data projects in practice
Results that have arrived in day-to-day business
Implemented by Objektkultur
Cloud data analytics platform for one of Germany’s largest energy suppliers
Building a cloud-native data analytics platform based on Microsoft Azure that brings together data from numerous systems along the renewable energy value chain, prepares it and makes it available to all departments via APIs. On this basis, concrete use cases emerge, such as visualized scheduling of service technicians and yield and revenue forecasts. The open, loosely coupled architecture scales entirely in the cloud, so every further use case benefits from existing data connections.
Implemented by Objektkultur
Data-driven quotation calculation in the construction industry
Together with our customer we created Go2Price, a cloud-based calculation platform on Azure that combines versioned master data, its own formula language and integrated analytics. In the background, the solution processes up to 200,000 formulas in seconds instead of minutes, project data flows in automatically from the CRM and calculated results trigger downstream processes. The result is up to 95% faster pricing and dependable key figures right at the point of decision.
Services
Our services in data & analytics
From data strategy to the secure operation of your analytics platform
Consulting & data strategy
We analyze your data landscape, use cases and goals, clarify governance, roles and data quality, and develop a roadmap that fits your business and technical requirements.
Data platform & data integration
We connect ERP, CRM, specialist, cloud and IoT systems, automate data preparation and, with a modern data platform and strong governance, create a central, scalable basis for reporting, analytics and AI.
Microsoft Fabric implementation
We build lakehouses, warehouses and other Fabric components, structure data in OneLake and create a central basis for reporting, real-time analysis and AI.
Power BI & business intelligence
We develop dashboards, management cockpits, semantic models and self-service BI solutions that map key figures consistently and make them understandable in day-to-day work.
Data governance & data quality
We define roles, permissions, quality rules, data responsibilities and binding key figures, so that departments can use data securely and consistently.
AI, data science & data agents
We develop forecasting models, prepare data for AI applications and help companies build AI agents on a reliable knowledge and data basis.
Real-time analysis & automation
We analyze event and process data in near real time and create the basis for fast reactions, well-founded decisions and automated business processes.
Migration & modernization
We move grown BI landscapes and older data warehouses in a structured way to a modern, future-proof platform and ensure continuity in ongoing operation.
Operation & support
We support your data platform in operation, keep it stable, optimize performance and capacity usage and develop the platform further as your requirements grow.
Training & enablement
From Power BI training and Microsoft Fabric workshops to building data literacy, we enable every relevant role, from data owner to department, to use your data confidently.
Training & workshops
Our training and workshops in the data field
Instead of starting from zero, you come in through proven workshops: you work with your own data and take concrete results away with you.
AI data readiness workshop
Do you have concrete AI ideas and want to know whether your data is ready for them? We analyze your data and system landscape, uncover data silos and deliver a prioritized roadmap for an AI-ready data basis. You leave the workshop with a clear position assessment and concrete next steps.
Microsoft Fabric workshop
Would you like to experience Microsoft Fabric on your own data before investing? In the hands-on workshop you connect real data sources, model them with the medallion architecture and build first reports with Power BI. In the end you see how Fabric works in your company and what productive use looks like.
Power BI training
Would you like your teams to build and maintain reports themselves? In our Power BI training, your employees learn to build meaningful dashboards and derive decisions from data on their own. That anchors reporting knowledge in your company for the long term.
FAQ
Frequently asked questions about data & analytics
What is the difference between Power BI and Microsoft Fabric?
Power BI is the tool for dashboards, reports and self-service analysis. Microsoft Fabric is the platform underneath, uniting all data and analytics workloads with OneLake as the central data basis. Power BI is part of Microsoft Fabric.
Do we need a data platform to start with Power BI?
No. As soon as your data is largely available, Power BI delivers value quickly. A platform such as Microsoft Fabric pays off as soon as many sources are to be brought together and prepared automatically.
How do we prepare our data for AI?
A good AI foundation grows step by step. First it is important to get an overview of which data sits where and what its quality is like. Then dissolve data silos, bring relevant sources together and ensure consistent, current and complete data. Clear governance rules matter just as much: who may use which data and where it comes from. Only on this basis can AI deliver reliable results.
In our AI data readiness workshop, our experts assess data quality, architecture and governance, place your maturity level and deliver a prioritized roadmap with concrete next steps towards an AI-ready data basis.
Who is Microsoft Fabric suitable for?
For mid-sized and large companies that want to bring together data from different sources, already use Microsoft solutions and want to make data-based decisions more efficiently.
What does a data analytics solution with Power BI and Microsoft Fabric cost?
The cost depends on two factors: licenses and the scope of implementation. Power BI is licensed per user or through capacities, Microsoft Fabric through capacities in which you manage compute and storage separately. On top of that comes the one-off effort for design, data connection and build-up. Our experts can give you a dependable assessment after a brief review in an initial consultation.
Does agenic rely exclusively on Microsoft technologies?
Our focus is on the Microsoft ecosystem, with Microsoft Fabric and Power BI at the center, because it connects seamlessly to ERP, CRM and Microsoft 365 and delivers value quickly. The starting point, however, is always your goal: on that basis we recommend the solution that fits your data landscape and your requirements. Whether proven platforms, custom extensions or tailor-made applications: what matters is what creates the greatest value for your use case.
Turn your data into measurable business success
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