Brydens BI AI Innovation The finance data warehouse is where AI for finance either succeeds or fails AI in finance is getting a lot of attention, and understandably so. There are obvious opportunities to speed up commentary, summarise results, support forecasting, review board packs and help finance teams work through large volumes of data more […]
Tag: Microsoft Azure
What a Finance Data Warehouse Should Actually Contain: A CFO’s Practical Architecture Guide
A Finance Data Warehouse should do far more than store data. At Brydens BI, we see it as the finance-owned foundation for trusted reporting, better forecasting, process automation, and the careful introduction of AI. When designed well, it brings together actuals, plans, workforce data, and operational drivers into one governed environment that helps Finance move faster and with more confidence.
When Complex Finance Processes Need More Than Excel
As finance processes become more complex and business-critical, spreadsheet models can become slow, fragile, and hard to control. This article outlines four practical examples where proper systems make a material difference.
Building a Future-Ready Finance Function: Data Lakes, Calumo and the Finance Data Warehouse
For CFOs, it’s increasingly important to distinguish the role and potential of a Data Lake from that of a Finance Data Warehouse. A Data Lake offers broad, enterprise-wide data for future analytics and AI, while a Finance Data Warehouse, designed, implemented, and supported by Brydens BI for Calumo (yes, that was our marketing plug), provides the curated, trusted financial foundation required for automatica consolidation, accurate reporting and planning. Understanding how these two layers differ, and how they work together, is key to building a modern, high-performing finance function.