Bad data leads to bad decisions. We fix the root cause. We establish data stewardship roles and deploy catalog tools to map your data landscape. By monitoring quality scores and enforcing standards, we ensure your data is accurate and auditable.
Data Governance Framework
Establish data ownership roles and stewardship councils, defining clear policies for usage and retention to ensure accountability across the org.
Learn MoreData Catalog, Lineage & Glossary
Deploy data catalog tools to index your assets and map lineage from source to report, creating a business glossary that standardizes terminology.
Learn MoreData Quality Management
Monitor data health with automated rules and scorecards, executing root cause analysis to remediate issues and continuously improve data trust.
Learn More
Data Governance Framework
We build the constitution. We define who owns the data. We establish Governance Councils and write the policies that dictate how data is created, used, and retired. This framework ensures accountability and regulatory compliance.
- Data ownership and stewardship roles.
- Policies for data usage, retention and classification.
- Governance councils, forums and decision-making processes.

Data Catalog, Lineage & Glossary
We map the landscape. "Where did this number come from?" We implement catalogs that track lineage from the source database to the CEO's dashboard. We build a Business Glossary so everyone agrees on what "Churn" actually means.
- Implementation of data catalog tools.
- Tracking data lineage from source to report.
- Business glossary for key terms and metrics.
Data Catalog, Lineage & Glossary
We map the landscape. "Where did this number come from?" We implement catalogs that track lineage from the source database to the CEO's dashboard. We build a Business Glossary so everyone agrees on what "Churn" actually means.
- Implementation of data catalog tools.
- Tracking data lineage from source to report.
- Business glossary for key terms and metrics.


Data Quality Management
We clean the stream. We implement automated quality checks. We look for missing values, duplicates, and format errors. We create scorecards that show the health of your data, triggering remediation workflows when quality drops.
- Data quality rules and scorecards.
- Monitoring and remediation of data quality issues.
- Root cause analysis and continuous improvement.









