Remove A/B Testing Remove Recruitment Remove Workflows
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18 Benefits of HR Analytics For Your Business [With Examples]

AIHR

Improving recruitment and talent acquisition 3. Improving recruitment and talent acquisition. You gain valuable insights into your hiring process by tracking data pertaining to key recruitment metrics such as cost per hire, application completion rates, quality of hire, quality of source, and candidate experience.

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How to build a billion dollar digital marketplace – examples from Uber, eBay, Craigslist, and more

Andrew Chen

Once in a city, the Launcher must simultaneously: recruit, hire, and train a local team. Optimization : A/B testing growth levers – from email/SMS/push copy – to when/how to reach out. Others can double down on retention, by building utility and workflow automation, to set a foundation for more transactions.

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The Kinds of Data Scientist

Harvard Business Review

Data infrastructure: data ingestion, availability, operations, access, and running environments to support workflows of data scientists. Data product manager: creating products for internal customers to use within their workflow, to enable incorporation of measurement created by data scientists. e.g. running Kafka and a Hadoop cluster.