Data Operations
What is DataOps?
Data Operations is a sub-team within Business Operations. Our responsibilities include data analytics and data engineering.
The team’s focus areas include:
- Data Reliability and Infrastructure
- Data Taxonomy
- Data cleanliness and quality
- Reporting
Mission
Provide data infrastructure, implementation, and analysis to enable Sourcegraph to scale as a data-driven organization.
Themes
Our focus for this fiscal year is to create a strong data foundation, ensuring our data is trustworthy, well-documented, and reliable. Specifically, we’ll focus on:
- Data consistency and reliability
- Data taxonomy and documentation
- Operational visibility
- Accessible dashboarding
Roles and responsibilities
We have defined areas of ownership for the teams involved with DataOps.
-
Data Analytics:
- Reporting and dashboarding
- Ownership of BI Tools
- Data taxonomy and consistency
- Documentation
- Analysis
-
Data Engineering:
- Pipeline creation
- Data warehousing
- Pipeline maintenance: alerting, monitoring, security
-
Sales and Marketing:
- Management of respective tools (e.g. Salesforce, Google Analytics, HubSpot, Zendesk)
- Day to day ownership of data collection, reporting, workflows
Data sources
This diagram provides a high-level overview of the tools we use:
For more info on our data stack tools, see the analytics page.
Pings information
Pings are the telemetry we receive from on-prem instances.
Roadmap
View our roadmap for . If you have requests, suggestions, or ideas for the roadmap, please post in the #bizops Slack channel, or create an issue in the analytics repository.