EY Data Analytics as a Service

We can help design and deploy an integrated data analytics solution that is aligned to the aspirational end-state design and customized to meet organizational priorities, business unit requirements and change readiness. We can also help businesses identify dependencies and chart a critical path across multiple functions and initiatives for a seamless transformation process. Furthermore, we also perform a cost-benefit analysis and present a business case based on specific requirements captured during the solution design stage.

We can facilitate a phased transition of processes to global or regional delivery centers including infrastructure, testing, toll-gate reviews for go-live and benchmarking performance levels and standards.

We can run day-to-day operations on technology platforms and provide enablement support to  business operations by effectively managing performance, people, and standardizing processes to ensure continuous improvement.

We can help organizations drive transformation in processes, organizational setup, technology and enable them to achieve business objectives more effectively, at a much faster pace with the help of a unified data layer, cognitive solutions and bolt-on customer apps.

Implemented ‘Data Analytics as a Service’ to drive data-based decision making and generated insights to strengthen the company’s spare parts supply chain, international business supply chain, future product development and consumer strategies. Helped the company achieve 16% incremental revenue from data monetization, 15% upsell in service parts and 15% reduction in spare parts inventory.

Established an aftermarket analytics CoE to capture aircraft engine performance data and predict component failure. It resulted in avoidance of 300+ events and saved more than US$150M annually for the airlines.

Designed a next-gen target operating model using EY Genome and deployed digital solutions on EY proprietary platform with  on-demand ‘Data Analytics as a Service’ to provide operational visibility on orders and shipments and to optimize logistics cost. The deployment helped the company improve its On Time In Full (OTIF) rate by 8%, truck utilization by 10% and productivity by 18% while reducing the cost per shipment by 5%.

Set-up a commercial command center with an on-demand ‘Data Analytics as a Service’ ecosystem to equip the retail brand with better visibility into its sales and marketing performance and generate insights for commercial strategy and planning. The deployment helped the company improve its gross margin by 1.5% with a 3 to 5% increase in cross sales and 15% improvement in productivity.

Centralized R2R operations, implemented an integrated data hub with accounting rules engine and chart of accounts assignment and financial risk platform with reporting cockpit, resulting in daily interim close, and a single source of financial control.

Designed next gen operating model using EY Genome, implemented ‘EY Cognitive planning solution’ with ‘Demand, Supply & Planning Command Center’ modules on top of ‘Data Lake solution’ with feed from PoS, supply chain and commercial systems, and ran a centralized ‘Supply Chain planning as a service’ operations. The solution resulted in 25-35% points improvement in forecast accuracy across Categories, 10% points improvement in OTIF, 30% reduction in overall inventory and 50% improvement in productivity.

Established a commercial analytics CoE supported by functional and sector domain experts and data science practitioners to build a market mix model with all marketing drivers including in-store marketing promotions. It resulted in an increase in revenue by more than US$150 m with additional marketing spend of US$20 m.