Manufacturing Giant Achieves Real-Time Analytics with SAC

How a Fortune 500 manufacturing company reduced reporting time by 70% and gained real-time visibility across 15 global plants

The Challenge

A leading manufacturing organization with operations across 15 global facilities was struggling with fragmented reporting systems. Financial close processes took 3-4 weeks, and executives lacked real-time visibility into production metrics, inventory levels, and cost performance.

Key Pain Points

  • Delayed Decision Making: Month-end reports arrived 4 weeks after period close
  • Data Silos: Production, finance, and supply chain teams used separate systems
  • Manual Processes: Excel-based consolidation consumed 200+ hours per month
  • Limited Insights: No drill-down capabilities from executive dashboards to operational details

Our Solution

We designed and implemented a comprehensive SAP Analytics Cloud solution that unified data from SAP ECC, MES systems, and external data sources.

Implementation Approach

Phase 1: Discovery & Design (6 weeks)

  • Conducted stakeholder interviews across finance, operations, and supply chain
  • Mapped data flows from 12 source systems
  • Created dashboard wireframes and user journey maps
  • Defined KPIs aligned with strategic objectives

Phase 2: Data Integration (8 weeks)

  • Connected SAC to SAP ECC via live connections
  • Integrated manufacturing execution system (MES) data through APIs
  • Built data models with optimized hierarchies for plant, product, and cost center analysis
  • Implemented incremental data refresh for near-real-time updates

Phase 3: Dashboard Development (10 weeks)

  • Developed executive dashboard with global KPI overview
  • Created plant-level operational dashboards for production managers
  • Built custom widgets for production line monitoring and OEE tracking
  • Implemented drill-down capabilities from summary to transaction-level detail

Phase 4: Custom Widget Development & Testing (6 weeks)

  • Production Timeline Widget: Visual representation of production schedules with delay alerts
  • Inventory Heatmap: Color-coded visualization of stock levels across all warehouses
  • Variance Waterfall: Interactive chart showing budget-to-actual variances with root cause analysis
  • User acceptance testing and refinements

Technical Architecture

Data Sources → SAC Data Models → Analytic Applications → Role-Based Dashboards
• SAP ECC (Live)     • Planning Models    • Executive Overview   • C-Suite View
• MES Systems (API)  • Reporting Models   • Plant Operations     • Plant Manager View
• External Data      • Blended Sources    • Financial Analytics  • Finance View

The Results

Quantitative Impact

  • 70% Reduction in reporting cycle time (from 4 weeks to 1.5 weeks)
  • 200+ Hours Saved monthly through automated data consolidation
  • $450K Annual Savings in reduced FTE time and faster decision-making
  • 15-minute Data Refresh providing near real-time operational visibility

Qualitative Benefits

  • Executive Confidence: C-suite gained trust in data accuracy and timeliness
  • Proactive Management: Plant managers identified production bottlenecks before they escalated
  • Cross-Functional Alignment: Single source of truth eliminated data discrepancies between departments
  • Faster Month-End Close: Finance team reduced closing cycle from 20 days to 10 days

Technologies Used

  • SAP Analytics Cloud (Planning & Analytics)
  • SAP ECC (Live Data Connection)
  • Custom JavaScript Widgets
  • REST API Integration
  • SAC SDK for Widget Development

Client Testimonial

“Varnika IT Consulting transformed our analytics landscape. We went from waiting weeks for outdated reports to having real-time insights at our fingertips. The custom dashboards they built are exactly what our executives needed - simple, powerful, and actionable.”

VP of Finance, Global Manufacturing Company

Key Takeaways

  1. User-Centric Design: Extensive stakeholder interviews ensured dashboards met actual business needs
  2. Incremental Delivery: Phased approach allowed users to provide feedback and course-correct
  3. Custom Widgets Add Value: Purpose-built visualizations provided insights that standard charts couldn’t deliver
  4. Change Management Matters: Training and adoption support were critical to achieving high user engagement

Ready to transform your analytics? Contact us to discuss how we can help your organization achieve similar results.