Enabling DataOps for Analytics
Modern enterprises need to quickly deliver the right data to a growing data consumer audience to drive strategic initiatives, often encompassing data science and machine learning, and thereby create competitive advantage. But many of these projects are failing because yesterday’s processes and systems can no longer meet today’s analytics requirements. Traditional data pipelines are breaking, and data quality is suffering.
The following Gartner report will inform your understanding of DataOps and where to apply it including:
- How analytics leaders can drive organizational change and predictability
- Recommendations on enabling rapid and agile data management solutions
- How DataOps is gaining traction due to the desire to reduce the friction between data and analytics teams and the business units relying on their efforts
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