Frequently Asked Questions

At FINN BI, Eamonn Finn serves as the hands-on Power BI developer, directly handling the creation and development of reports. Supported by a small, skilled team, Eamonn oversees every project to ensure it meets specific client needs and is delivered to the highest standard.

The timeline depends on the complexity of your data and the report requirements. FINN BI work closely with you to establish realistic timelines based on your goals and data structure.

The cost varies based on the scope and complexity of the project. Custom pricing is available, designed to specific needs, whether it involves a one-time report or ongoing support. During the initial consultation, requirements will be discussed, and a clear, upfront estimate will be provided with no hidden fees.

After delivering Power BI reports, ongoing support is provided, including performance optimisation, troubleshooting, and enhancements as business needs evolve. Training sessions can also be offered for the team to help them fully use the reports. The goal is to ensure long-term value from every solution.

Yes, all reports are designed with flexibility in mind. As businesses grow or evolve, the reports can easily be updated to include new data sources or metrics. Staying current with Power BI updates and trends ensures that the reports remain optimised and future-ready.

Yes, Power BI integrates with a wide range of systems, including CRM platforms, ERP systems, and cloud services like Azure, Salesforce, or SQL databases. FINN BI evaluates your current systems and ensures smooth integration for real-time insights.

Absolutely. Power BI offers enterprise-level security features, including row-level security, data encryption, and compliance with GDPR and other international regulations. Best practices are followed to ensure that data is securely handled.

Yes, Power BI offers mobile-friendly reporting through the Power BI Mobile app. Reports can also be optimised for easy access to insights anytime, anywhere.

Yes, Power BI is designed to manage and analyse large datasets effectively. Whether working with millions of rows or pulling from multiple data sources, the data model can be optimised for performance and scalability.