One increasingly popular methodology is DataOps, an automated, process-oriented methodology that enables enterprises to get more out of their data. Successful DataOps depends on strategies that include highly automated workflows and open platforms to increases analytic velocity and creates catalytic outcomes for data consumers. But how can organizations implement DataOps?
Andy Palmer, DataOps Pioneer, blends a presentation about the DataOps Methodology and Framework, real-world examples and learnings by data leaders currently implementing DataOps driven transformation. We will be exploring topics such as:
- Harnessing the latent opportunity of data and analytics in your organization
- Why you need DataOps and how to get started
- Increasing your analytic velocity with a DataOps ecosystem
- How you can drive business growth with analytics
