In our latest webinar on Microsoft Fabric, BI consultant Markus Unger presents three types of customers who can benefit from the platform. He categorizes them based on their data maturity and describes how Fabric can help them optimize data management and analysis. Perhaps you recognize yourself in one of these customer types?
CUSTOMER TYPE 1: FROM DISORDER TO STRUCTURE
Profile: Business without a BI platform
Challenge: Scattered data sources, manual processes
Proposed solution: OneLake, Data Factory, Power BI-based analytics
Companies in this first customer group lack a centralized data platform and manage data through separate systems and manual processes, which can lead to inefficiencies and lack of business-critical insights. Examples of organizations in this category could be:
- Logistics companies with difficulties managing inventory and deliveries.
- Healthcare organizations with patient data scattered in different systems.
- Hotels that lack visibility into booking patterns.
- Retail companies unable to centralize their data for effective reporting.
By implementing Fabric, these companies can gather all their data in one place in OneLake and use Purview to ensure data security. Using Data Factory, data collection can be automated, while Power BI can provide clear visualizations that make it easier to identify trends, patterns, and anomalies.
CUSTOMER TYPE 2: FROM SILO TO SYNERGY
Profile: Organization with existing BI solution
Challenge: Isolated data silos, performance issues
Proposed solution: OneLake, Data Warehouse, real-time analytics
Companies in this category already have an established BI solution but struggle with inefficiencies and lack of integration between their data systems. Often they have their data scattered in different silos, limiting their analytical capabilities. Examples of organizations in this category may include:
- Manufacturing companies that manage their ETL process locally but want to improve their data integration.
- Insurance companies with historical claims data that want to make better risk assessments.
With Fabric, these companies can integrate their data sources through OneLake and use a Data Warehouse to streamline storage and analysis. In addition, real-time analytics can be added to create faster and more dynamic insights.
CUSTOMER TYPE 3: FROM DATA TO PREDICTION
Profile: Organization looking to implement AI
Challenge: Difficulties in building AI models
Proposed solution: Fabric with data science, Copilot and AI-driven analytics
This last group of customers has already implemented Fabric and has come a long way in their data management, but they have not yet begun to exploit the full potential of AI. By combining existing data with data science and Copilot, they can create AI-driven analytics and predictive models.
A crucial factor for successful AI implementation is the availability of a well-structured and integrated data platform, which Fabric enables by eliminating data silos. Examples of how AI can be used in this context include:
- E-commerce companies looking to predict customer behavior and optimize marketing strategies.
- Manufacturing companies using AI to predict machine breakdowns and minimize material consumption.
- Energy companies analyzing electricity consumption and forecasting peaks in energy use.
With Fabric, they can turn on AI to maximize the value of their data and create insight-driven business decisions. The possibilities are almost limitless, and the platform offers a powerful foundation for advanced analytics and prediction.
SUMMARY
Whether the challenge is to create order or find synergies between existing data systems, Fabric is a valuable tool. For those without a BI platform, Fabric creates structure by bringing data together and automating processes with OneLake and Power BI. For those who already have a BI solution but struggle with data silos, Fabric can improve integration and analysis with Data Warehouse and real-time analytics – and for the most advanced companies, it opens the door to AI-driven insights and predictions through data science and Copilot.
Fabric is meant to work exactly this way, the platform is designed to add value to organizations at any maturity level.
