ROI Delivered

💹 ROI from Analytics in Manufacturing

Predictive analytics for procurement and scrap cost optimization produced tangible material savings and faster plant decisions with traceable KPIs.

• Raw-material spend reduction: 3–8% YoY.
• Cycle time to approve POs: 30–50% faster.
• Exception-driven reviews cut manual effort by 25–35%.

⚙️ Reporting Modernization (Monolith → Microservices)

Re-architected enterprise reporting using Kafka/Spark and object storage, reducing latency and enabling executive-ready, multi-tenant analytics across regions.

• Report latency: hours → minutes (95%+ reduction).
• Time-to-insight for leadership reviews improved by 2–3×.
• Decommissioned legacy jobs/licences → OPEX savings of 15–20%.

🧭 Engineering Digitalization & Industry 4.0

Introduced digital workflows and twins to reduce rework and delays in complex engineering programs, improving schedule adherence and capital efficiency.

• Design rework reduced by 20–30%.
• Field-change orders down by 10–15%.
• Commissioning readiness improved; handover defects down 25%+.

📊 Executive Dashboards & Governed KPIs

Rolled out C-suite analytics with semantic models and governed metrics, standardizing reviews and reducing shadow-IT reporting costs.

• KPI standardization across BUs; reduced conflicting numbers by 80%+.
• Manual deck preparation time down by 50–70%.
• Adoption (monthly active execs): 85%+ within two quarters.

🧾 Representative KPIs & Outcomes

• Cloud & infra optimization: 15–25% cost reduction via right-sizing and tiering.
• SLA/MTTR improvements: incidents resolved 30–40% faster with proactive observability.
• Revenue enablement: faster quoting & on-boarding → 2–5% uplift in conversion in targeted lines.
• Compliance risk: auditable lineage & access controls; findings reduced in subsequent audits.

🧮 How the $50M+ ROI Was Realized (Illustrative Mix)

• Cost Savings: decommissioned tooling, infra optimization, manual-effort reduction.
• Cost Avoidance: early-risk detection, fewer change orders, better forecast accuracy.
• Revenue Enablement: faster time-to-market, improved win-rates via timely insights.

🏁 Governance & Measurement

• ROI model agreed upfront with Finance & BU leaders; tracked quarterly.
• Before/After baselines; independent validation for major initiatives.
• Adoption metrics (MAU/WAU), SLA targets, and value-realization dashboards.