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The case study anchors every claim in a concrete before state: a named dollar cost ($90,000+ annually), a named time cost (5 hours per ad hoc request), and a named volume of data being mishandled. The before-and-after on the Mazda battery query is a tight, specific example that makes the abstract metric tangible. The piece earns both its primary Efficiency tag and a secondary Clarity tag because the mechanism (natural language querying against BigQuery) simultaneously cut cost and gave non-technical users sight they did not have before.
Use a single, concrete customer support ticket as a mini case-within-a-case: the Mazda battery query example converts an abstract percentage into a real before-and-after time comparison that any reader can visualize.
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