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.