Note: A webinar that draws on this presentation is available here.
In this report, we discuss the Data Science workflow, from gathering requirements for the activity through to deploying the output and monitoring it. This workflow is amenable to automation, a topic increasingly referred to as DataOps. DataOps is a sibling of DevOps for Data Science, which aims to allow more effective industrialisation of Data Science in practice, through:
- Improved repeatability of findings
- Reduced time to identifying actionable insights
- Decreased time to impact
For over 20 years, Celent has helped senior executives make confident decisions around their technology strategies to execute at scale.
As the financial services industry rapidly evolves, there is more complexity, with new regulations, startups, technologies, and applications to stay on top of and prioritize. Celent helps you connect this ever-changing puzzle. We offer objective advice and clarity, backed by a database of thousands of solutions and award-winning global best practice use cases. With real-life domain expertise, we also guide you through the maze of emerging tech in the pursuit of value.
Our people, data, insights, and relationships form the foundation for you to use Celent to make confident technology decisions in financial services.
