Crowd vs. Managed Team - A Study on Quality Data Processing at Scale
Enhance the Quality of Your Datasets
Whether you’re training machine learning algorithms or using traditional analysis techniques, the quality of your data determines performance. Data science tech developer Hivemind enlisted CloudFactory’s managed workforce and a leading crowdsourcing platform’s anonymous workers to complete a series of the same tasks, ranging from basic to more complicated, to determine which team delivered the highest-quality structured datasets and at what relative cost.
In this report you will learn:
- The difference in accuracy you might expect from using an anonymous crowdsourced team versus a managed team of data workers
- The interesting behavioral impact of paying workers by the hour - rather than by the task - and how it can affect quality
- Factors that can help you strategically deploy the right workforce for optimal results