Let’s face it - traditional data management practices and systems are increasingly failing to tame the modern data chaos. Today, 75% of executives don’t trust their data, and only 27% of data projects are successful.
According to some studies, a company, on average, processes between 1 to 12 million gigabytes of data. As these organizations grow, the complexity of their data landscape also grows at an unprecedented rate. DataOps - a combination of data and operation - emerges as a new approach to data management that promises robust solutions to the data chaos businesses have never seen before. When planned and implemented strategically, it can enable organizations to effectively and securely store, process, manage, and access data to generate insights at the speed of business.
This white paper covers the fundamentals of DataOps and aims to lead companies toward a new era of data management that helps them capture insights at scale and inform their decision-making. More importantly, it shares 7 best practices to help organizations kickstart their journeys towards DataOps to achieve streamlined and automated data systems and pipelines and ensure maximum efficiency.