Achieve Agility and Control with Self-Service Sandboxes
Self-Service Analytics provides a tremendous advantage for business users to be able to perform day-to-day analytics tasks themselves. Yet, self-service involves more than just the provision of easy-to-use tools. Organizations must create a reliable and agile process that balances analytic governance with the needs of business users.
The use of Self-Service Sandboxes allows an organization to achieve both agility and control. Central Data and IT teams can quickly spin up controlled self-service workspaces where users can do data work independently and safely with all the pre-configured tools, data, hardware and tests they need to experiment, and then promote new analytics to production when ready.
In this webinar, we’ll share how a large financial institution used Self-Service Sandboxes to:
- Provision analytic workspaces on-demand – a process that previously took 4-5 months;
- Increase agility and compliance by automating the entire process of creating, monitoring, and decommissioning workspaces;
- Painlessly meet all regulatory and analytic governance standards by monitoring usage; and
- Seamlessly transition new analytics into production following DataOps principles.
About the Speaker
Chris Bergh is the CEO and Head Chef at DataKitchen. Chris has more than 25 years of research, software engineering, data analytics, and executive management experience. At various points in his career, he has been a COO, CTO, VP, and Director of Engineering. Chris is a recognized expert on DataOps. He is the co-author of the "DataOps Cookbook” and the “DataOps Manifesto,” and a speaker on DataOps at many industry conferences.