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Data collection. Collecting data is the first step in data processing. ...
Data preparation. Once the data is collected, it then enters the data preparation stage. ...
Data input. ...
Processing. ...
Data output/interpretation. ...
- Data storage.
- Faster time to usable data
- Eliminate the bottlenecks that prevent you from producing data-driven insights quickly
- Increased number of data-driven initiatives
- Execute more data driven initiatives by automating the repetitive, manual work in your data processes
- Better, more consistent data quality
- Reduce manual human error by automating deduplication, detection of PII, or mapping of your data models
- Empowered data scientists and engineers
- Free up your data experts to do what matters — analyze data and build a data-driven enterprise
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