How US Venture streamlined Data Governance with DvSum’s Data Catalog and Data Quality solutions
Background
US Venture, a leading renewable energy distributor, was amidst a data modernization initiative and aimed to adopt a cloud-first strategy for their enterprise apps, data lake, data warehouse, and BI layer.
As part of that initiative, US Venture realized it needed to implement a robust data governance and quality solution to ensure its data was accurate, reliable, and easily accessible to the right people.
Challenge
Being new to Data Governance, they signed up with a big-box vendor Data Catalog and Governance solution provider but struggled with that engagement. The big-box vendor application was infrastructure-heavy, and complex to implement, the user interface was not user-friendly, and did not provide robust data quality management capabilities.
Solution
After struggling for months with their initial solution, US Venture began looking for an alternative. That's when they were introduced to DvSum.
- DvSum's integrated Data Catalog and Data Quality products gave US Venture holistic data governance capabilities.
- With a comprehensive list of plug-and-play connections, USV was able to catalog its on-premise database and its cloud data sources including the Business Intelligence layer in 2 days.
- The Data Quality solution gave the Data Governance and Data Engineering team a single framework for data quality and observability to drive end-to-end data quality improvements.
- Its intuitive UX required no training for experienced Data Stewards and less than 4 hours for everyone else.
Results
The Data Governance team at US Venture started delivering value to their business functions in less than 8 weeks after starting with DvSum
Business data quality rules modeling and automation have significantly improved productivity and agility for the business team, as they no longer spent hours manually reconciling data and looking for errors each week.
Other business functions are recognizing the value of data governance and quality and are now engaged in establishing their business glossary and setting up data quality monitoring rules.
The Data Engineering and IT teams are leveraging DvSum’s capability to integrate Data quality checks in their data pipelines without needing to write custom DQ rules.
The Data Analytics team is starting to leverage the Data Catalog to find and evaluate the right data set for their needs, resulting in faster time to insights.
Conclusion
US Venture's experience highlights the importance of automation, ease of use, and fast time-to-value to launch data governance. DvSum solution’s intelligent automation, ease of use, and powerful data quality features are enabling US Venture to streamline data governance efforts and make data more accessible, meaningful, and reliable to unlock the business value of data.
Unlock the full potential of your data with DvSum
- Create a unified view of your entire data landscape on Day 1
- Streamline data governance with automatic data classification and enrichment
- Improve data accuracy with integrated data quality and cleansing
- Empower business users to get data insights with no-code self-service data exploration
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