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Hybrid Cloud Analytics
Objective
Develop a 2 year strategy and phased roadmap with a central vision and foundation to ensure that future business needs for data and analytics are met
Industry: Healthcare Wholesaler
Services: Transformation Enablement
Technology: Data Architecture Assessment
Increased revenue due to improved insights into customer behavior.
Improved margins via insights into automation, inventory, and warehouse operations.
Increased accuracy in financial, HIPAA, and other regulatory and compliance reporting.
Our Client
Our client is a Fortune 100 global healthcare wholesaler and one of the largest drug distributor in the U.S., supplying a wide range of pharmaceuticals, as well as medical supplies and equipment.
Challenge
A global healthcare distribution company has a hybrid on-premise / cloud data architecture, and is facing several challenges leveraging the potential of their data assets
- Data Architecture not optimized for reporting and advanced analytics needs
- Analysis is limited by vast data volumes, poor data quality, and poor performance
- Multiple data hops cause data latency and increased costs, and metadata gaps
- Source system data quality gaps are creating issues for downstream data consumers
Approach
Assess gaps in analytics capabilities, architecture, data delivery processes, and technical performance. Recommend and implement new technology components, processes and standards to optimize data ingestion, discovery, and speed-to-market of insights.
Outcomes
- Established roadmap that delivers the future state architecture
- Modern architecture allows the business to ingest and analyze data from all sources
- New tools and technologies enables analytic opportunities including
- Perfect delivery
- Inventory decisioning
- Order and delivery analytics
- Predictive maintenance
- Enterprise financial metrics
- Customer segmentation and profitability
Impact
- Increased revenue due to improved insights into customer behavior
- Improved margins via insights into automation, inventory, and warehouse operations
- Increased accuracy in financial, HIPAA, and other regulatory and compliance reporting
- Reduced time-to-insight and increased robustness of analytics capabilities
- Reduced costs via predictive analytics capability in sales and warehouse operations
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