Deliver trusted insights faster. Every time.
Data is essential to your success, but traditional data management approaches are often slow, labor-intensive and error-prone. That makes getting data where you need it when you need it a challenge. With DataOps, you can automate your end-to-end data workflows and let SAS take care of the heavy lifting – so you can focus on getting results.
Poor-quality data in analytics and AI initiatives can lead to misinformed business decisions. And most organizations say that ensuring data quality and reliability is a major challenge. DataOps can change that with streamlined processes that move data along the pipeline faster, continuously delivering actionable insights and demonstrable business value.
Data consumers who agree that data is outdated by the time it is consumed or analyzed by the organization.1
Expected reduction in data and analytics errors as a result of implementing DataOps.2
Organizations that will have started implementing DataOps by 2023.3
1 DataOps Dilemma: Survey Reveals Gap in the Data Supply Chain, 451 Research, August 2021
2 IDC Futurescape 2021, IDC #US469204203
3 IDC Futurescape 2021, IDC #US46920420
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- SAS® Data PreparationWith SAS AI Data Preparation running on SAS Viya, customers can quickly prepare data for analytics in a self-service, point-and-click environment.
- SAS® Information GovernanceEasily find data and analytic assets, while simultaneously protecting and evaluating their fitness for use.