The organizations that win in the next decade will be those that can move fastest from data to decision. Inforica's Data & Analytics practice builds the end-to-end data foundation — from ingestion and transformation to modelling, governance, and intelligence — that makes AI possible and business intelligence trustworthy.
We specialize in Microsoft's unified analytics platform: Microsoft Fabric, Power BI, Azure Synapse, and Azure Data Factory — now converged into a single SaaS analytics ecosystem with OneLake at its core. In 2025, Microsoft Fabric has become the definitive enterprise data platform on the Microsoft stack, and Inforica brings deep delivery capability across every Fabric workload.
The Microsoft Fabric moment: Microsoft Fabric unifies data engineering, data warehousing, real-time analytics, data science, and Power BI into a single platform with a shared OneLake data store. Organizations no longer need to stitch together Azure Data Factory, Synapse, and Power BI separately — Fabric handles the complete analytics lifecycle. Inforica helps clients plan and execute their Fabric adoption strategy.
End-to-end Microsoft Fabric deployment — from capacity planning and OneLake architecture to Lakehouse design, Data Factory pipeline build, Warehouse provisioning, and Purview governance integration. Fabric's November 2025 release includes GA SQL database, Cosmos DB mirroring, and enhanced M365 Copilot data agent integration — capabilities Inforica helps clients activate.
Power BI celebrated its 10th year in 2025 and has evolved into an AI-powered decision intelligence platform. Inforica builds enterprise Power BI deployments — semantic models, organizational apps, row-level security, and AI-assisted reporting through Copilot integration. We also manage Fabric-integrated Power BI architectures using Direct Lake mode for real-time, large-scale reporting.
Design and build scalable data pipelines using Azure Data Factory, Fabric Data Factory, and Apache Spark-based notebooks. We implement incremental refresh patterns, real-time event streaming via Azure Event Hubs, and Dataflow Gen2 pipelines — providing clean, governed data to analytics and AI workloads at enterprise scale.
Microsoft Purview is now a unified data management platform for security, compliance, governance, and auditing — deeply integrated with Microsoft Fabric in 2025. Inforica implements Purview data catalogues, sensitivity classifications, lineage tracking, data quality policies, and Critical Data Element (CDE) mapping to ensure your data estate is trustworthy, compliant, and AI-ready.
Build machine learning models and predictive analytics capabilities using Fabric Data Science, Azure Machine Learning, and MLflow. Inforica helps organizations shift from descriptive to predictive analytics — forecasting demand, scoring risk, detecting anomalies, and embedding AI-generated predictions directly into Power BI dashboards for business users.
Deliver real-time operational intelligence using Fabric's Real-Time Intelligence workload — processing streaming data from IoT devices, transactional systems, and operational platforms. We build KQL databases, event stream pipelines, and live Power BI dashboards that give operations teams instant visibility into what is happening right now.
Real-time consumption analytics, billing cycle dashboards, and predictive maintenance models for utility operators — built on the Inforica iBilling platform and Azure analytics stack.
Real-time claim risk scoring, portfolio analytics, and compliance reporting for insurance carriers — integrating iCRM claim data with Fabric analytics and Power BI executive dashboards.
Multi-location operational KPIs, supply chain visibility, and financial consolidation reporting for franchise networks — delivering unified performance visibility across hundreds of locations.
Natural-language report generation through Copilot integration with Power BI — enabling executives and business users to query data and generate insights without technical skills.
Start with a Data Maturity Assessment — we'll identify the gaps between your current data estate and what AI-ready looks like.