W5_BUSN604_Example

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GreenPulse Energy – Modeling for Clarity

My name is Juan, and I’m here to introduce you to an inspiring story

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PART I

GreenPulse Energy is a clean energy start-up building a data platform to help municipalities monitor and optimize solar energy consumption. You join as Lead Business Analyst to support the development of decision-making tools through effective data modeling.

The intended strategy involves designing entity-relationship diagrams (ERDs), using decision tables, and integrating KPIs into an interactive dashboard for city energy planners

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PART II

Initial stakeholder sessions reveal confusion about data definitions. 'Installation site' varies by team, and historical consumption records have gaps. Engineering pushes ahead, but users struggle to trust the data.

You pivot to an emergent strategy: co-create a business glossary and facilitate workshops where planners sketch the logic behind their decisions. You refine the data model using these insights, building simplified visualizations with mock dashboards.

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PART III

Soon, planners begin using the prototypes to simulate peak load scenarios. By project launch, city leaders praise the platform for turning complex data into understandable insights.

Realized strategy: user-driven models and simplified visuals that support decision clarity.

Non-realized strategy: static ERDs and predefined KPIs without user context

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Coach’s Insight

"Data alone doesn’t drive decisions—understanding does. GreenPulse shows that clarity comes not from complexity, but from connection."

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