Are Finance Technologies Like CRM and Cloud ERP the Future for CFOs?

Article Highlights
Off On

A recent survey by Gartner highlights significant trends in the finance sector’s technology adoption, emphasizing CRM technology, cloud ERP, and analytics and business intelligence (ABI) tools as the most valued. The survey, conducted in October 2024, underscores these technologies’ importance and their impact on financial decision-making.

CFOs are increasingly relying on CRM applications for accurate sales forecasts. This reliance highlights the need for deeper insights into customer trends and financial outcomes, marking a shift towards more informed financial decision-making within organizations. The value placed on CRM technology reflects its crucial role in providing these insights.

A notable trend is the transition from on-premises ERP to cloud ERP systems. This shift indicates a preference for modern, subscription-based solutions that offer advanced features. Nearly 20% of finance leaders have either moved away from or plan to discontinue on-premises ERP, viewing it as less valuable compared to cloud-based alternatives.

ABI tools play a vital role in data visualization, preparation, modeling, and logic writing. These tools, often integrated with AI, provide rapid, decision-ready financial insights, emphasizing the need for agility and robust analytics in a volatile business environment. Their integration supports the trend towards leveraging advanced technologies for superior financial operations.

The overall trend highlights the strategic shift of finance teams towards cloud-based and AI-integrated technologies. This transition aims to enhance agility, analytics capabilities, and overall financial decision-making. Organizations are increasingly focusing on advanced, scalable technology solutions to improve financial insight and performance.

In summary, the Gartner survey reveals a clear trend in adopting CRM, cloud ERP, and ABI tools within finance. This industry-wide move focuses on technologies that offer deeper insights, greater agility, and robust analytics, underscoring the importance of modern, AI-integrated, cloud-based systems in strategic financial decision-making.

Explore more

Trend Analysis: AI in Real Estate

Navigating the real estate market has long been synonymous with staggering costs, opaque processes, and a reliance on commission-based intermediaries that can consume a significant portion of a property’s value. This traditional framework is now facing a profound disruption from artificial intelligence, a technological force empowering consumers with unprecedented levels of control, transparency, and financial savings. As the industry stands

Insurtech Digital Platforms – Review

The silent drain on an insurer’s profitability often goes unnoticed, buried within the complex and aging architecture of legacy systems that impede growth and alienate a digitally native customer base. Insurtech digital platforms represent a significant advancement in the insurance sector, offering a clear path away from these outdated constraints. This review will explore the evolution of this technology from

Trend Analysis: Insurance Operational Control

The relentless pursuit of market share that has defined the insurance landscape for years has finally met its reckoning, forcing the industry to confront a new reality where operational discipline is the true measure of strength. After a prolonged period of chasing aggressive, unrestrained growth, 2025 has marked a fundamental pivot. The market is now shifting away from a “growth-at-all-costs”

AI Grading Tools Offer Both Promise and Peril

The familiar scrawl of a teacher’s red pen, once the definitive symbol of academic feedback, is steadily being replaced by the silent, instantaneous judgment of an algorithm. From the red-inked margins of yesteryear to the instant feedback of today, the landscape of academic assessment is undergoing a seismic shift. As educators grapple with growing class sizes and the demand for

Legacy Digital Twin vs. Industry 4.0 Digital Twin: A Comparative Analysis

The promise of a perfect digital replica—a tool that could mirror every gear turn and temperature fluctuation of a physical asset—is no longer a distant vision but a bifurcated reality with two distinct evolutionary paths. On one side stands the legacy digital twin, a powerful but often isolated marvel of engineering simulation. On the other is its successor, the Industry