How to scale data science (when nobody else understands it)
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What have industry leaders figured out about scaling data science?
For many companies, their investment in data science is driving substantial operating improvements, improved employee efficiency, new revenue streams, and much more. Unfortunately, many other companies are having a hard time generating the value they were expecting.
Domino has partnered with DataIQ to survey their membership of data and analytics professionals to understand more about their approaches to data science. View the details about this important research to understand:
- The biggest challenges limiting data science scalability
- How to measure ROI and the returns you can expect
- Benchmark times for model deployment and overall projects
- The impact that a model-drive culture can have on your success