Making your data processes more agile and responsive
Our expertise comes from our research that is not found anywhere else in the industry. It can help you make Data Operations more impactful to your organization. Consider these insights as you look to assess and improve your organization’s data processes.
Definition
Data Operations (DataOps) focuses on the application of agile development, DevOps and lean manufacturing by data engineering professionals in support of data production. It encompasses the development, testing, deployment and orchestration of data integration and processing pipelines, along with improved data quality and validity via data monitoring and observability.
Research Fact
Despite almost two-thirds (64%) of organizations citing reviewing data for quality issues as being the most time-consuming aspect of analytics initiatives, less than a quarter (22%) are very confident in the quality of data being generated by data preparation efforts.
Best Practice
To get the most out of Data Operations consider tools and technologies that automate the identification of issues and provide recommendations for remediation and prevention.