Power Up Your Business Data With Microsoft Fabric
Key insights
Microsoft Fabric unifies analytics, AI, and governance to simplify data management, improve decision-making, and speed up your digital transformation.
This approach helps your organization reduce risk, enforce consistent policies, and protect sensitive information while maintaining operational efficiency.
Thoroughly assessing your current data landscape — mapping existing tools, processes, and pain points —can help you align strategic goals, feasibility, and return on investment. Are you ready to transform your data strategy?
Microsoft Fabric brings analytics, AI, and governance together in one secure platform. It replaces disconnected tools with a unified system for information management and cross-department collaboration.
Discover how it can accelerate decision-making and advance your organization’s growth.
What are your business data challenges?
Issues often arise unintentionally as organizations adopt piecemeal technology, hindering agility and forward-looking analytics. Challenges may include:
- Too many disconnected tools for data tasks, which complicates maintenance, scalability, and governance
- Siloed insights from decentralized tools, leading to inconsistent data definitions
- Delays in data integration and transformation
- Governance risks like inconsistent data access and accidental exposure of sensitive info
- Not understanding the critical role of your organization’s data infrastructure in using AI effectively
How Microsoft Fabric can help
Microsoft Fabric is a comprehensive platform built from the ground up to unify data movement, storage, analytics, AI, and governance within a single security and storage model.
It consolidates multiple tools into integrated “experiences” serving different business needs:
| Experience | Description | Business Benefit |
| Data factory | Data ingestion, transformation, and cleaning pipelines from various sources like CRM, ERP, and spreadsheets | Reduces manual data wrangling, errors, and provides fresher data |
| Analytics | Supports data science and large-scale analytics workloads including forecasting and clustering | Enables robust analysis for departments like finance and marketing |
| Databases and lakehouses | Combines data warehouses and lakes, allowing structured and unstructured data in one place | Provides a single trusted foundation for all data |
| Real-time intelligence | Enables proactive, real-time monitoring and alerts for operations, fraud detection, and customer service | Facilitates immediate insights and faster response |
| Power BI | Enhanced integration where reports and dashboards sit directly on top of the unified data platform | Delivers up-to-date, interactive dashboards with natural language querying |
AI integration
AI is woven into the heart of Fabric, making advanced analytics and natural language interaction readily available. With Copilot, you can ask questions in plain English, generate code, or even automate routine tasks like transforming data and creating reports — and you don’t need to be a technical expert to do it.
Think of it as a way to democratize data access and speed up how you get insights. Whether you’re a manager checking board-level dashboards or someone scheduling tasks or writing emails, Fabric’s AI features let you interact with data more intuitively.
Plus, predictive and prescriptive analytics are built in, with robust governance so everything operates securely and in line with your organization’s policies.
Practical applications of machine learning tools
Machine learning in Microsoft Fabric can be applied across various industries and use cases, including:
- Finance: Predictive analytics for risk management, fraud detection, and investment strategies.
- Marketing: Customer segmentation, personalized recommendations, and campaign enhancement.
- Health care: Predictive modeling for patient outcomes, disease detection, and treatment planning.
- Manufacturing: Predictive maintenance, quality control, and supply chain optimization.
Learn how CLA digital helped an electrical supplier implement Microsoft Fabric to greatly improve a time consuming and ineffective reporting process.
Governance, security, and compliance
Governance is built into Fabric’s core, not added as an afterthought. Key features include:
- Purview Hub: Centralized governance management for data access, lineage tracking, and classification.
- Sensitivity labels: Actionable labels that follow data across reports, exports, and AI interactions.
- OneLake security: Supports row-level and column-level security; users only see authorized data subsets.
- Compliance without complexity: Governance is embedded into workflows and tools, eliminating the need for separate manual processes and enabling scalable, compliant data usage.
Empowering roles across your organization
Microsoft Fabric supports a broad range of data roles:
- Data engineers — Build pipelines and manage batch and streaming data within a unified environment
- Data scientists — Access governed data directly for experimentation, training, and deployment
- Data analysts — Use governed lakehouses and AI-powered tools like Copilot for faster report creation
- Decision makers — Interact with data via natural language queries in familiar tools like Teams and Excel
- Data stewards — Manage governance policies, sensitivity labels, and monitor data lineage seamlessly
How CLA can help with business data challenges
From strategy to execution, CLA supports every phase of digital transformation, including data architecture modernization, system integration, and AI enablement.
We’ll help you build a tactical, implementable roadmap to guide your organization from its current state to a fully integrated Microsoft Fabric environment. Our digital team will meet with you to understand your challenges, the analytics you need, and what calculations need to happen.
We also provide training and support to facilitate adoption across teams, using familiar tools like Power BI, Teams, and Excel.
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Gregory Chambers
Data Analyst Manager
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