Slingshot Data Governance

Slingshot Data Governance

by Brian Lunt

Federated Data Management via Slingshot

How does Slingshot facilitate "data mesh"?

Data mesh is an architectural concept that distributes data handling in an organization to business units or domains. Slingshot facilitates data mesh practices by allowing companies to access and analyze data at scale by decentralizing data responsibilities to appropriate teams. When analyzing large amounts of data in Snowflake, Slingshot provides federated data management across lines of business, data availability, integrity, and security to operationalize more efficient data entitlement.

Data Consistency & Standardization:

Capital One Slingshot promotes fine-grained access control to various lines of business by following consistent standards and guidelines. With Slingshot, it is easy to enforce data entitlement and standardization rules within each line of business. Customers can rely on accurate and reliable data regardless of the source through a centralized but federated access model via Slingshot. This level of consistency and visibility leads to improved decision-making and business processes, from the user level to the organization level and everything in between.

Data Security and Privacy:

Slingshot helps protect sensitive information and ensures alignment with governance policies. With federated data management, customers can control access to specific data sets based on user roles and permissions, reducing the risk of unauthorized access or data breaches while still keeping the data up to date through centralized role based access control (RBAC).

Unlocked Use Cases and Collaboration:

Data management in Slingshot allows different lines of business to collaborate securely and effectively, unlocking new use cases while delegating access to the appropriate users. With proper governance, users can share and access data across departments, enabling cross-functional insights and better coordination among teams. Slingshot enables this centralized model of data assets while still allowing autonomy for different lines of business and a unified view for control of data assets.

Cost Visibility and Savings:

By implementing data mesh practices via Slingshot, customers identify duplicate or stale data and optimize resources. Slingshot provides detailed cost insights at various levels, such as individual user, team, and organization level insights. This allows administrators to track and monitor data usage and associated costs. By having visibility into data costs, leaders can optimize their data usage, identify cost-saving opportunities, and allocate resources more effectively at every level of the organization.