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.
Data Operations (DataOps) is a methodology focused on the delivery of agile business intelligence and data science through the automation and orchestration of data integration and processing pipelines, incorporating improved data reliability and integrity via data monitoring and observability.
Almost two-thirds (64%) of organizations cite reviewing data for quality issues as being the most time-consuming aspect of analytics initiatives.
To get the most out of Data Operations consider tools and technologies that provide machine learning assistance to help identify and remediate changes in the underlying systems.