Business Data Fabric and Self-Service Analytics with SAP Datasphere for Automotive Services

Overview

The client, a prominent automotive services provider and distributor of premium motor oils, has a legacy of over 150 years of excellence in the US and Canada. With an extensive network of quick-lube service centers, the company delivers high-quality maintenance and repair services, ensuring vehicle performance and longevity. Known for its innovation and customer-first approach, the company sought to modernize its analytics capabilities by leveraging SAP Datasphere for streamlined data management and improved decision-making. Challenged by data inaccuracies, and the need for real-time insights to tackle supply chain and retail complexities, the client partnered with Applexus for a transformative digital analytics solution.

Major benefits realized by our client

• Increased Forecasting Accuracy: Enhanced integration of data sources resulted in precise forecasting, allowing better planning and resource allocation.
• Improved Variance Analysis: The ability to identify and address discrepancies helped uncover improvement opportunities, driving better outcomes.
• Optimized Promotions: Data-driven insights led to the optimization of promotional strategies, boosting their efficiency and effectiveness.
• Market Share Growth: Strategic decisions informed by comprehensive analytics drove growth in the company's market share.
• Agility in Market Response: Empowered with real-time insights, the company was able to respond proactively to fluctuations in market conditions.

How We Did It

• Business Data Fabric Implementation: Developed a centralized business data fabric using SAP Datasphere, enabling seamless data connectivity, integration, and business modeling for enhanced data accessibility.
• Rapid Deployment: Delivered high impact use cases within six weeks, accelerating the realization of benefits and addressing immediate business needs.
• Self-Service Analytics Enablement: Empowered business teams to independently generate insights without relying on IT, fostering a culture of data-driven decision-making.
• Integrated Data Approach: Unified data from SAP and non-SAP systems, such as POS, trading, and supply chain applications, for a holistic view of business operations.