A global enterprise B2B organisation operating across multiple regions sought to expand self-service analytics to reduce reliance on central data teams and accelerate decision-making. Sales, marketing, finance, customer success, and operations leaders all required faster access to performance data — particularly as AI-enabled tools were introduced to assist with forecasting, pipeline analysis, churn prediction, and revenue reporting.

A national utilities provider managing electricity and water infrastructure began expanding its use of advanced analytics and AI to improve outage prediction, demand forecasting, asset maintenance prioritisation, and regulatory reporting.