Name: Unlocking Business Value: Aligning AI & Data Initiatives to Performance Metrics
Start: 2025-11-27T16:00:00+02:00
End: 2025-11-27T17:30:00+02:00

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As data professionals, we sit at the intersection of technology, business, and transformation. Our work shapes the quality, performance, and impact of every AI and data-driven initiative. This week, our Modelware webinar series dives into the frameworks and tools you need to ensure your data products, models, and insights deliver measurable business value—every time.

🔹 **Why the North Star Matters to Data Teams**
The North Star metric represents the organisation’s core strategic objective. For insurers, this could be the **Policy Retention Rate**, driven not just by business operations but by the accuracy, efficiency, and intelligence of data and AI systems. Understanding this metric ensures your work is tied directly to business performance.

🔹 **Business Metric Driver Tree for Technical Teams**
We’ll walk through how to break down the North Star into measurable drivers across the organisation. Learn how your models, pipelines, dashboards, and data products contribute to both **leading** indicators (e.g., claims processing times, risk scoring accuracy, chatbot usability) and **lagging** indicators (e.g., customer retention, complaint reduction).
This framework provides clarity on why your technical efforts matter—and how to prioritise them.

🔹 **Total Quality Management (TQM) Applied to AI & Data**
Using a TQM approach mapped to the Wang-Strong Data Quality Dimensions, we’ll explore how to evaluate the data and AI lifecycle through four lenses: intrinsic, contextual, representational, and accessibility quality. You’ll learn practical techniques for improving data quality, model reliability, and system clarity across your architecture.

🔹 **Evaluation-Driven AI Development**
We’ll show how scorecards, model cards, and continuous evaluation loops create AI systems that stay aligned with business goals over time. From governance checkpoints to monitoring for drift, fairness, and compliance, you’ll gain a practical blueprint for building AI solutions that are transparent, explainable, and high performing.

**Key Takeaway**
For data professionals, aligning data and AI efforts to business metrics is no longer optional—it’s a strategic capability. Join us this week to learn how to build metric-driven, quality-focused AI and data ecosystems that deliver real, measurable business impact.

Howard Diesel

DAMA SA Data Management

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Data Modeling

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Data Management

Unlocking Business Value: Aligning AI & Data Initiatives to Performance Metrics 

Artificial Intelligence

Data Quality

Data Governance

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DAMA SA Data Management

Unlocking Business Value: Aligning AI & Data Initiatives to Performance Metrics

DAMA SA Data Management

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