Manage your Data Products, Platform and Development with Insights
Get access to what you have been missing. Make your data warehouse transparent, your data teams measurable, and your entire data product lifecycle manageable.
Data Platform Health
Safeguard the service level of your data
Automatically collect and visualize operational metrics about data loads, processing efficiency, and system health, to enable proactive issue resolution before business impact occurs.
Identify areas for continuous improvement
Drill down from high-level platform health summaries to detailed, entity-level statistics—helping you to optimize underperforming data flows and manage data warehouse and operational costs more effectively.
Manage with transparency
Build trust with business stakeholders by making your data platform and team transparent—showing what they do and how they continuously improve service levels.
Data Product Catalog
Data warehouse as data products
Document all available assets in your data warehouse with their data models, business context and lineage information—transforming your data warehouse into a collection of valuable data products.
Automatic cataloging of data assets
Maintain catalog about your data products through automated metadata collection as your data warehouse evolves, removing manual documentation burdens. Provide entity-level visibility so users understand what data is available, where to find it, and what kind of changes have been done to them – eliminating barriers to data adoption and self-service.
Entity and column level data lineage
Data product catalogue has both entity and column-level lineage that helps user to follow the audit trail and impact analysis for their data products, and help them make informed decisions.
DataOps & Team Performance
Improve and manage flow and stability in data-driven way
Track development flow and stability KPI:s (DORA by Google Research) including deployment frequency, lead time for changes, and change failure rates—indicators directly correlated with successful business outcomes in development.
Review and follow development practices
Review and measure your team adherence to development best practices and demonstrate standardization value with a DataOps Index and detailed practice parameters.
Raise the bar with DataOps industry benchmarks
Compare your development performance against industry benchmarks to identify where you can pursue even higher level of team performance and data platform resilience.
