Data and analytics (D&A) leaders are hearing about DataOps and are eager to explore how it can help them deliver insights faster, with higher quality and resiliency in the face of constant change. Early conversations, however, reveal confusion about what DataOps really is, how it can be applied and what a successful strategy looks like. This confusion should be expected - it’s a new concept and what it looks like for each company differs depending on what they expect to do with their data.
What doesn’t differ is that D&A leaders need to make better-informed, faster decisions about their company’s data with a focus on automation, real-time risk assessment, and continuous value delivery to support the business’s growth in 2021.
Defining and building DataOps
Gartner defines DataOps as a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and data consumers across an organisation. Rather than simply throwing data over the virtual wall, where it becomes someone else’s problem, the development of data pipelines and products becomes a collaborative exercise with a shared understanding of the value proposition.
To implement DataOps successfully, D&A leaders must align it with how data is consumed, rather than how it is created. By doing so, you inherently remove the roadblocks to data access and thus collaboration, innovation, and continuous value creation.
Thank you for your input
Thank you for your feedback
DataIQ is a trading name of IQ Data Group Limited
10 York Road, London, SE1 7ND
Phone: +44 020 3821 5665
Registered in England: 9900834
Copyright © IQ Data Group Limited 2024