5c03e07ded
Simpler story (slide decks unread -> three-bullet status email), proper Claude-chat look with avatars and bubbles on both sides. Canonical trigger prompt switched to English everywhere (homepage, architecture, both adapter generators rebuilt) - V7 consistency green, all checks pass. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PDKeXvpT6tENSvyQGLV1Uq
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esco_uri, esco_label, relation, onet_soc, source, confidence, qa_count, generator, generated
| esco_uri | esco_label | relation | onet_soc | source | confidence | qa_count | generator | generated |
|---|---|---|---|---|---|---|---|---|
| http://data.europa.eu/esco/skill/be20d05c-f6b4-4580-9fcf-f00f4baab562 | make data-driven decisions | optional | 15-2051.00 | model-knowledge | high | 0 | gemma3:27b (prompt-designed and spot-checked by Claude) | 2026-07-10 |
make data-driven decisions — Data Scientist
For a Data Scientist, 'making data-driven decisions' isn’t about just reporting KPIs; it's the core of how you justify recommendations and build impactful solutions. Daily tasks involve framing business problems as analytical questions (e.g., “How can we reduce customer churn?”), then designing experiments or analyses to answer them using relevant data – often requiring SQL for extraction, Python/R for manipulation & modeling, and visualization tools like Tableau or Power BI to communicate findings. It means going beyond descriptive statistics; you're building predictive models, running A/B tests, and quantifying the impact of potential changes before they’re implemented.
Weitere Anreicherung
Stage-2 source for future practitioner grounding: arXiv cs.LG/stat.ML (ML preprints).