This article explains why industry-specific planning is essential in the age of modern analytics. It explores how vertical analytics outperforms generic dashboards, when to bring in external experts, and how to design models around real operational needs, not abstract KPIs.
The landscape of data and analytics is transforming. This article highlights six key trends reshaping how companies operate and plan in 2025. Learn how AI, decision intelligence, and vertical tools will drive the future, and what to do now.
AI adoption is accelerating across industries, but data literacy hasn’t kept pace. This article explores the growing gap, the risks it creates, and how companies can build the skills and foundations needed to make AI work in real business environments.
As AI tools like McKinsey’s Lilli automate slide creation and proposal drafting, traditional consulting faces a paradigm shift. But for smaller, tech-native firms, this disruption presents a unique opportunity. With leaner staffing models, agility, and deep AI fluency, these firms can deliver faster, more interactive, and client-embedded consulting experiences.
Despite advances in finance automation, Excel continues to dominate budgeting, forecasting, and reporting. This article explores why finance teams still cling to spreadsheets, the hidden costs of staying stuck, and how to evolve toward a modern finance tech stack without losing control.
Agile budgeting is transforming FP&A, enabling companies to adjust financial plans in real time. However, without reliable, well-governed data, frequent re-forecasting can lead to poor decision-making, budget overruns, and lost credibility. This article explores why speed alone isn’t enough, the financial risks of bad data in agile planning, and three key strategies to ensure budgeting agility is backed by accurate, aligned, and timely financial intelligence. By centralizing data, automating validation, and enforcing accountability, finance teams can create a fast, flexible, and financially disciplined budgeting process.
This article outlines 7 data analytics priorities tailored to small and mid-sized businesses. From effective governance to practical MLOps, each priority is designed to help organizations stay competitive and data-driven in the year ahead.
As Microsoft retires traditional Power BI Premium licenses, small and medium-sized businesses face new cost challenges with the shift to Microsoft Fabric. This article breaks down the changes and offers simple, actionable steps to control expenses—such as starting small, mixing license types, monitoring usage, and considering flexible billing options. By focusing on these strategies, SMBs can confidently navigate the transition, maintain data insights, and keep their budgets in check.
Collaboration between Finance and Procurement functions is transforming how organizations manage costs and enhance financial performance. By breaking down silos and working together, these departments can leverage shared data, align strategies, and drive significant value.
As Gartner unveils four major technology themes for 2024, CIOs face key decisions. From Autonomous AI to Total Experience, this article explores the potential and critical considerations for adopting these trends effectively.
Selecting the right financial planning tool is essential for driving your organization’s strategic decisions and financial success. In this comprehensive article, we compare the three most popular tools—Microsoft Excel, Anaplan, and Oracle Hyperion Planning. We explore their features, market presence, limitations, and provide expert insights to help you make an informed choice.
For FP&A professionals, unstructured data – like social media posts, customer reviews, and sensor readings – offers exciting possibilities. This article critically examines whether FP&A teams should rely on unstructured data for strategic decisions, exploring both the potential benefits and the challenges of incorporating it into their work.
Not sure if your company needs to start ESG reporting in 2025? This article breaks down the criteria, including company size, industry, and regional requirements, to help you determine if mandatory ESG reporting applies to your business. Learn how to get prepared and stay compliant with the latest regulations.
XBRL is transforming ESG reporting by providing a structured, machine-readable format for disclosures. This article explores the importance of XBRL for organizations, its role in ensuring accurate sustainability reporting, and how companies can benefit from adopting it in their ESG processes.
Artificial Intelligence and Machine Learning are significantly impacting the finance industry by improving forecasting accuracy, automating routine tasks, and offering deep predictive insights. This article examines the foundational concepts of AI and ML in finance, explores their transformative impact on financial planning and analysis (FP&A), and discusses the challenges of integrating these technologies.
This article explains why industry-specific planning is essential in the age of modern analytics. It explores how vertical analytics outperforms generic dashboards, when to bring in external experts, and how to design models around real operational needs, not abstract KPIs.
The landscape of data and analytics is transforming. This article highlights six key trends reshaping how companies operate and plan in 2025. Learn how AI, decision intelligence, and vertical tools will drive the future, and what to do now.
AI adoption is accelerating across industries, but data literacy hasn’t kept pace. This article explores the growing gap, the risks it creates, and how companies can build the skills and foundations needed to make AI work in real business environments.