Latest dataops publications
Data created by companies is bigger than ever before, with many seeking to understand how DataOps processes can be used to convert such data into actionable business insights. Gartner defines DataOps as a collaborative data management practice aiming to improve the communication, integration and automation of data flows between data consumers and data managers in a company.
There remains a distance to go until businesses are fully aware of the most effective ways for maintaining good data quality and data management. Major cultural transformation must occur within many companies if DataOps is to be successful. This shift involves accepting that DataOps is a continuous process and serves as an impetus for organisational change by encouraging agility and endorsing change.
The vast majority of businesses today acknowledge that their data is important, even critical to their operations. Despite this, however, many organisations fail to take adequate measures to safeguard this crucial asset.
With data breaches caused by cyber-attacks on the rise, protecting data has become paramount, and yet data management often remains an afterthought. It has become imperative to not only develop a data management strategy but harness appropriate technology in the form of a data management platform. This is essential to prevent data loss events from malicious attacks or disasters, as well as for compliance and business continuity purposes.