Modernize data, analytics, and AI capabilities across Microsoft, Dynamics 365, IBM i, and hybrid environments. Bring Microsoft, ERP, cloud, and operational data together to improve reporting, strengthen analytics, and support the next phase of your AI strategy.
Data analytics and AI services help organizations connect, organize, and use data across systems to improve reporting, strengthen decision-making, modernize analytics, and support AI initiatives. In Microsoft-centric environments, that often includes data strategy, analytics modernization, AI readiness, Fabric and Azure architecture, Power BI, Dynamics 365 analytics, and governed access to trusted business data.
When data is spread across Microsoft platforms, ERP systems, cloud services, and operational applications, reporting gets harder and answers take longer to find. Fresche Analytics helps connect those environments so teams can improve visibility, strengthen analytics, and make better use of AI.
Assess your environment, shape your data strategy, and build the foundation needed for stronger governance, more reliable reporting, and better analytics across systems.
Connect your data through a governed MCP layer so users can ask questions in plain English, get trusted answers, and move faster from questions to dashboards.
Extend Dynamics 365 reporting with analytics that give finance, operations, and leadership teams clearer visibility into performance, trends, and overall business health.
Connect IBM i data to Microsoft analytics environments so teams can improve reporting, expand visibility, and make better use of operational data without disruption.
Use Microsoft Fabric, Power BI, Azure, and related technologies to modernize reporting, connect data sources, and strengthen enterprise analytics across the business.
Improve control over Microsoft licensing, cloud consumption, and costs through ongoing optimization and planning across Azure, Microsoft 365, Fabric, and Power BI.
If your team is talking about AI but still figuring out where it fits, Fresche’s AI in Action Workshop is the best place to start. Our hands-on workshop helps companies get specific about how AI can support the business by surfacing real opportunities, aligning the right people, and identifying where to begin.
Want to see how that looked with a real client? Read this case study to see how we helped a regional distributor identiy identify 16 AI use cases, choose the top priority, and shape a more focused plan for what came next.
Fresche’s data analytics and AI services include data strategy and planning, data modernization services, Dynamics 365 analytics services, AI readiness and implementation roadmaps, Microsoft analytics services, and training workshops. Across those areas, the work can include environment assessments, future-state roadmaps, migration planning, reporting modernization, analytics enablement, and use case development for AI.
Because the biggest problem is usually not a lack of tools. It is fragmented data, aging systems, weak data quality, and reporting that is hard to trust. Fresche’s data strategy services are built to assess the current environment, identify gaps, and define a clear path forward so analytics and AI efforts are not undermined by the data foundation underneath them.
AI readiness means your organization has the data, technology, processes, and team alignment needed to move forward without wasting time and budget. Fresche’s AI readiness work focuses on identifying gaps, defining realistic use cases, and building a roadmap that reduces risk and gives teams more confidence about where to start.
Fresche helps reduce the risk of failed AI projects by bringing structure to the early stages. That includes evaluating readiness, identifying high-impact use cases, defining technical requirements, establishing realistic timelines, and building phased roadmaps for pilots, deployment, and scale. The goal is to avoid misaligned use cases, chaotic rollout, and AI efforts that never produce business value.
Yes. Fresche’s Dynamics 365 analytics services are designed to address the limits of native reporting, including silos, rigid templates, and time-consuming manual consolidation. Using OmniAnalytics by Fresche and Microsoft Fabric, teams can unify ERP and CRM data, improve reporting speed, and gain more complete visibility across finance, sales, inventory, supply chain, and operations.
Dynamics 365 analytics services can support real-time visibility, integrated views across business functions, reporting continuity during ERP transitions, and faster adoption of Microsoft Fabric. Fresche also provides pre-built data models, a modern lakehouse, nearly 100 customizable report templates, and implementation approaches designed to minimize disruption.
It usually starts with assessing the current environment, defining a future-state roadmap, and planning a move toward a more scalable platform such as Azure, Fabric, or Databricks. From there, Fresche helps with migration planning, performance optimization, and building a more reliable data foundation that supports reporting, advanced analytics, and future AI work.
No. The goal is not to rip out IBM i. It is to make the data easier to access, trust, connect, and use across reporting, analytics, and AI. Fresche’s approach is built around helping organizations get more from the systems they already rely on while building a stronger data estate around them.
Whether you are focused on reporting, analytics modernization, AI readiness, or AI-powered IBM i software, Fresche can help you identify the right next step.
See our solutions in action.
Talk with our team about where you are and what comes next.
