As a Databricks Gold Elite SI and ISV Partner, Blueprint must ensure that customers get the most value out of their Databricks investment. Blueprint’s Lakehouse Optimizer (LHO) is built to operate within the Databricks ecosystem and follow the Partner Well Architected Framework for measuring and attributing customer consumption. That gives us a trusted foundation for understanding which usage belongs to which customer. But attribution is only the starting point. Because LHO pricing is tied to Databricks consumption, we also have to determine how that usage translates into what a customer actually pays. That means being precise about what consumption we measure, how we account for changes in a customer’s environment, and exactly what a number like “cost” represents before it ever becomes part of an invoice.
Data governance

Overview
At Blueprint, we believe that when the right information is delivered to the right person it makes for the best business decisions. We can help you build your data ecosystem to be more dependable and reliable with established rules, securities and commitments. By identifying data owners and data consumers, we can mature your data governance practice to ensure your business allows data visibility that does not compromise security, privacy or risk management.
Contact us to get started now.
Impact
Identify impactful, visible, relatable opportunities
Determine the highest impact/priority of your data sharing based upon importance, feasibility, data risk and tangible ROI.
Modernize data culture
Optimize and automate existing data architecture to adhere to a set of rules and guidelines maintained by your data stewards to ensure existing data and newly-created data complies with company policy.
Adapt with ease
Solve current data needs while providing tools and a hierarchy of data rules to adapt and grow efficiently.
Enabling frontline business actions
Make informed business decisions based on recent, relevant and up-to-date data.
Sample use cases
- Data-based decision making
- Increased data quality
- Risk management and threat detection
- Privacy compliance
- Data experimentation
- Data cataloging
- Privacy compliance
Data governance the Blueprint Way
Data is rapidly generated across all facets of an organization, often leading to a data web that is difficult to navigate and impossible to share with consumers. Blueprint’s expertise and proven methodologies identify high-impact data governance use cases to prove value quickly, then iterate, mature and scale to meet your needs. By identifying the roles your data producers have to the contribution of your data, establishing a set of data classification rules and attributions, and understanding data quality and lineage, we can help you connect your data to the leaders and teams who understand and execute business objectives.
Check out our latest privacy articles
Databricks Genie answers are only as good as their curation. See how Google Open Knowledge Format lets domain experts contribute governed metric definitions.

