I earned my Executive MBA at Quantic School of Business and Technology, but my learning didn’t stop with the degree. Through alumni access, I’ve kept exploring advanced courses in analytics, business intelligence, and data-driven strategy — not to chase certificates, but to sharpen how I design systems, troubleshoot broken workflows, and map the intersections of media, data, technology, and people.
This library is where that journey takes shape. Each entry distills a framework or concept — from decision-making models and data visualization to predictive analytics and governance — and reframes it through the lens of creative operations and digital asset management. The goal isn’t theory for theory’s sake — it’s applied strategy that helps teams work smarter with the tools they already have.
Entries:
Decision-Making with Analytics | Business Intelligence in Action| From Charts to Clarity: Data Visualization | Intro to Business Analytics | Valuation: Discounted Free Cash Flow Applied | Value Creation Beyond Profit | Positive Leadership: Human-Centered Leadership in AI Adoption | Cultural Intelligence: Designing Systems That Learn from Difference | Leading with Empathy in the Age of AI | Scaling Impact with the Cloud | Decentralized Applications: Governance in the Age of Automation | Blockchains in Practice: Provenance, Trust, and Creative Equity | Intellectual Property Law: Protecting Creators in the Age of AI
Analytics isn’t just about collecting data — it’s about building a decision-making process that reliably produces better outcomes.
One framework I revisited in Quantic’s Decision-Making with Analytics course is CRISP-DM, a process that moves through:
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💡 Business Understanding → Data Understanding → Modeling → Evaluation → Deployment.
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In creative operations, decisions often default to gut feel or fire-fighting. CRISP-DM provides a repeatable framework to evaluate whether processes deliver value — and to scale only the ones that do.