Self-service analytics promised freedom from endless data requests, but in practice, most projects stall in unused dashboards and unclear KPIs. This article breaks down the critical elements that make analytics deliver real business impact. From defining business questions to embedding industry context, building governance, tailoring outputs, and ensuring adoption, we outline a proven, start-to-finish approach used by leading analytics consulting firms.
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.
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.
GenAI spending is accelerating, yet many finance teams struggle to prove ROI. With 87% of leaders increasing budgets, the pressure is on to deliver real value. This article shows how CFOs and FP&A leaders can bring strategy, governance, and focus to AI efforts—and turn hype into results.
As AI adoption accelerates, finance leadership must evolve. This article explores how finance leaders can move from enforcing budgets to enabling strategic AI deployment, ensuring that investments create measurable business value.
RAG (Retrieval-Augmented Generation) is a powerful AI technique that reduces hallucinations by grounding large language models in trusted business data. Learn how RAG enhances accuracy, governance, and business impact.
AI agents are transforming businesses by automating complex tasks, cutting costs, and driving innovation. This article explains what AI agents are, explores practical examples across industries, discusses key benefits and challenges, and offers strategic advice on successfully implementing AI agents to gain a competitive advantage.
This article explains the shift from NFRD to CSRD and why the new regulation is a significant shift for ESG reporting in the EU. It outlines the key challenges companies face, including data management, resource allocation, and evolving regulatory standards, and examines various compliance options such as hiring external consultants and leveraging advanced software.
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.
GenAI spending is accelerating, yet many finance teams struggle to prove ROI. With 87% of leaders increasing budgets, the pressure is on to deliver real value. This article shows how CFOs and FP&A leaders can bring strategy, governance, and focus to AI efforts—and turn hype into results.