Systems | Development | Analytics | API | Testing

Open Banking: The Guide on APIs, Regulations, and the Future of Finance

The global financial services industry is undergoing a massive, API-driven revolution. With the global open banking market valued at $31.61 billion in 2024 and projected to grow to $135.17 billion by 2030, this shift is accelerating worldwide. This definitive guide explores the core APIs, the evolving global regulations (including FAPI 2.0, PSD3, and Section 1033), and the massive opportunities shaping the future of finance for banks, fintechs, and enterprises.

Dresner 2025 EPM Market Study: Key Takeaways for Finance Leaders

Every year, Dresner Advisory Services publishes some of the most closely watched research in the enterprise performance management (EPM) space. Unlike analyst firms that rely heavily on vendor briefings, Dresner’s Wisdom of Crowds methodology gathers data directly from end users — the finance leaders, FP&A professionals, and CFOs who live inside these platforms every day.

CFO Blind Spots: What Scattered Data Is Costing You in 2026

Finance leaders at top companies all describe the same frustration: scattered data is blocking them from being the strategic partner their organization needs. This guide names the blind spots — and shows what becomes possible when you finally close them. You know what your P&L says. But do you know what your cash position will look like in 90 days?

The Custom Build Trap: What Finance Leaders Learn After the Budget Is Approved

Building your own financial data system sounds lean, flexible, and smart — right up until year two. This guide gives you the honest picture most vendors won't: what a production-grade finance system actually costs, what teams almost always miss, and a decision framework built for CFOs who need to get this right the first time. Your data team is confident. The architecture looks solid.

FinTech QA Services for Secure, Scalable & Compliant Financial Applications

In 2012, Knight Capital Group lost $440 million in just 45 minutes. The cause? A software deployment error that no one caught during testing. There was no rollback plan. By the time engineers found the issue, thousands of wrong trades had already been executed. This is not a small startup mistake. This happened to a billion-dollar company with a full engineering and QA team. This is exactly why FinTech QA Services are so important. In normal software, a bug might only affect user experience.

Three Finance AI Challenges Product Leaders Must Overcome

Product teams tasked with providing an AI analytics and BI platform to finance organizations see a unique set of challenges. Finance organizations are subject to SOX, GDPR, EU AI Act compliance on top of accurately closing the books and preparing for the potential of an audit. In a highly regulated industry like finance, product leaders building solutions for finance leaders need accurate insights they can trust that hold up to audits and regulatory scrutiny.

insightsoftware Recognized in the 2025 Gartner Magic Quadrant for Financial Planning Software

In 2025, insightsoftware was recognized in Gartner’s Magic Quadrant for Financial Planning Software. The recognition focuses on insightsoftware’s JustPerform product, which offers web-based budgeting, planning, and forecasting with an Excel-like interface and self-service reporting, dashboards, and analytics.

Beyond the AI Hype: Why Data Management is the Real Secret to 2026 Financial Services Success

Many financial institutions are finding that improving education isn't enough to solve their data management struggles. It’s time to move from “proof of concept” to “intelligence orchestration.” The gap between AI experimentation and real-world ROI is widening. In this video, we break down why a robust, proprietary data foundation is the only way to scale AI safely and effectively. We explore why financial services must move beyond public data and focus on unique, high-value data assets to create a true competitive advantage.

The Multi-Entity CFO's Financial Intelligence Guide

Your finance team wastes 14 days every month on manual consolidation. Your close stretches to 15-25 days. And you're one key person departing from chaos. The brutal math: Your "free" Excel process actually costs $850K+ annually in wasted time, errors, and missed opportunities. Meanwhile, leading multi-entity CFOs just cut their close time by 80% and freed their teams for strategic work instead of reconciliation hell.

From Excel Hell to AI-Powered Finance: A CEO's Journey to Data-Driven Decision Making

"We were wasting too much time debating the accuracy of numbers as opposed to using that time to make decisions." That's how Satty Saha, Group CEO of CreditInfo-a credit bureau operating across 30+ countries-described the moment he realized his organization had a data problem. Not the kind of data problem you'd expect from a company whose business is data and analytics. An internal data problem.