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 mid-tier financial services organisation was accelerating its use of AI across risk modelling, customer insight, fraud monitoring, and executive reporting. Like many institutions in 2025, the organisation saw AI as a way to increase decision speed, reduce manual analysis, and improve predictive accuracy.

This Real Estate and Property Management Software Development company needed to combine data from several disparate data sources in order to present unified analytics within their Genesys Cloud implementation.  The data sets included: Genesys Cloud, Smoke.CI, a 3rd party WFM tool, a 3rd party survey tool, and an internal proprietary ticketing system.