WELCOME

Empowering Intelligent, Predictive,

and Sustainable Supply Chains

Olubunmi Anifowose is a visionary Business Analytics and Supply Chain Strategy Professional committed to transforming how organizations harness data for operational excellence, predictive intelligence, and sustainability.

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ABOUT ME

Data-Driven Leadership for a Sustainable Enterprise Future

Olubunmi Anifowose is an MBA candidate in Business Analytics at the University of Tennessee, Haslam College of Business, and an accomplished data analytics and operations professional with proven results in supply chain performance, business intelligence, and process improvement.

MORE ABOUT ME

Her career spans roles in leading Nigerian enterprises where she:

As the creator of CHAINALYTICA™, a first-of-its-kind Intelligent Business Analytics Framework, she helps enterprises integrate analytics, forecasting, and ESG intelligence into a unified decision-making system that drives measurable performance and environmental impact.

Her work sits at the intersection of data science, process optimization, and sustainability innovation — redefining the modern supply chain as a predictive, transparent, and adaptive ecosystem.

Optimized supply chain delivery timelines by 18%,

Increased revenue by 10% through analytics-driven project planning,

Reduced data retrieval times by 30% through database automation, and

Improved customer experience ratings by 20% via predictive churn modeling.

Improved customer experience ratings by 20% via predictive churn modeling.

INNOVATION

CHAINALYTICA™ — Her Landmark Innovation

Intelligent Business Analytics Framework for Predictive and Sustainable Supply Chain Optimization

In a world where organizations are flooded with data yet struggle to make predictive and sustainable decisions, Olubunmi Anifowose developed CHAINALYTICA™, a transformative business analytics framework that bridges data intelligence and supply chain optimization.

What CHAINALYTICA™ Does

Predictive Forecasting —

Anticipate demand and prevent supply bottlenecks.

Operational Synchronization —

Integrate real-time visibility across functions.

Cost Optimization —

Identify inefficiencies and resource waste through analytics.

ustainability Intelligence —

Track and improve ESG performance with measurable KPIs.

The Framework’s Four Analytical Pillars

Predict

Demand and Forecast Intelligence

Synchronize

Operational Visibility and Data Integration

Optimize

Cost, Resource, and Efficiency Analytics

Sustain

Sustainability and ESG Intelligence

Quantifiable Impact

25–30% improvement in forecasting accuracy

15% reduction in operational costs

20% improvement in sustainability metrics

Significant increase in ROI and operational transparency

Why CHAINALYTICA™ Matters

CHAINALYTICA™ is more than a model — it’s a blueprint for the intelligent enterprise. It aligns perfectly with U.S. national priorities around supply chain resilience, sustainability, and digital innovation, making it a contribution of major significance to both business and society.

“CHAINALYTICA™ helps businesses see around corners, respond faster, and operate sustainably — it’s analytics with purpose.”

IMPACT

Transforming Operations Through Data Intelligence

Olubunmi’s approach to analytics has directly improved organizational performance and strategic decision-making:

Advocated for sustainable operations by embedding data analytics into ESG tracking.

Streamlined project execution for over 30 environmental and engineering projects.

Led cross-functional teams that delivered measurable cost savings and process efficiency.

Introduced dashboards and KPIs that enabled real-time decision support across business units.

Education & Certifications

MBA (Business Analytics) –

University of Tennessee, Haslam College of Business

Bachelor of Agricultural Science –

Ekiti State University

Certifications:

  • Lean Six Sigma (White Belt)
  • Google Data Analytics
  • Google Project Management
  • Bloomberg Market Concepts

Core Expertise

Predictive Analytics & Business Intelligence

Supply Chain Optimization

ESG and Sustainability Analytics

Process Improvement & Operations Strategy

Cross-Functional Leadership and Data-Driven Decision-Making

His ongoing mission is to equip global enterprises with resilient, data-driven financial ecosystems capable of withstanding market shocks while protecting consumer value.

MEDIA & RECOGNITION

Thought Leadership and Recognition

Olubunmi has been recognized for her data-driven leadership and her contribution to analytics and sustainability transformation.

Her insights on business intelligence, predictive analytics, and sustainable supply chains have influenced data communities, business forums, and academic platforms alike.

She continues to publish articles and share expertise on:

Predictive Analytics for Supply Chain Transformation

The Role of ESG Data in Competitive Advantage

Women in Data Science and Leadership