success-stories/pharma-sales-intelligence-sap-datasphere-sac
Overview
A global pharmaceutical leader faced fragmented sales data, manual forecasting, disconnected reporting, and slow legacy dashboards that hindered decision-making. Applexus implemented SAP Datasphere and SAP Analytics Cloud, unifying sales and finance data, enabling real-time insights, and deploying ML-driven predictive forecasting. The result—accurate, consistent data, faster decisions, and interactive dashboards loading faster—empowered global teams with future-ready analytics and seamless collaboration.
Major benefits realized by our client
- Real-Time Sales Insights: Automated data refreshes improved forecasting accuracy and decision-making speed.
- Faster, Predictive Planning: Machine learning models enabled advanced forecasting and scenario planning.
- Improved Data Accuracy: Centralized financial data eliminated inconsistencies across legacy systems.
- Enhanced User Experience: Dashboards now render in under 10 seconds, improving adoption and productivity.
- Streamlined Collaboration: Unified reporting improved transparency and collaboration across global teams.
- Future-Ready Analytics: Scalable architecture supports innovation and evolving business needs.
How we did it
- Retired legacy reporting tools and replaced Tableau with SAP Datasphere and SAP Analytics Cloud for unified sales and finance analytics.
- Implemented ML-based predictive models to forecast sales and financial performance in real time.
- Developed interactive dashboards with improved UX and faster performance.
- Ensured automated, reliable data flows for accurate, consistent insights.
- Built a scalable analytics platform to support future business requirements.
Client
A global leader in pharmaceuticals and healthcare.
Solution
- SAP Datasphere Adoption
- SAP Analytics Cloud (SAC) Implementation
- ML Models for Predictive Forecasting
- Unified Sales & Finance Dashboards
At a glance
Applexus partnered with a leading pharmaceutical company to modernize sales and finance analytics by implementing SAP Datasphere and SAP Analytics Cloud. The solution unified fragmented data, automated forecasting processes, and improved dashboard performance. With real-time sales intelligence and predictive financial insights, the company is now positioned for faster decision-making, improved collaboration, and future-ready analytics.
