While Snowflake is powerful at ingesting data and pulling information from various sources, the data that is immediately available is not always ready for reliable reporting and analysis.
The data within Snowflake often requires mastering, mapping, and governance to achieve consistency and address quality issues before a firm can effectively use it.
As frustration grows among GPs because of the lack of quality data, the solution lies in leveraging Master Data Management tools, like Holland Mountain’s ATLAS MDM, to help managers address these challenges by:
- Automatically mapping and reconciling data, saving countless hours otherwise spent on manual processes.
- Transforming data for effective reporting and analysis.
- Providing user-friendly tools that empower business users, reducing dependency on IT resources at every step.
Let’s explore a typical use case of ATLAS and Snowflake working together to solve these challenges.
Using ATLAS and Snowflake together
ATLAS’s MDM seamlessly integrates into the Snowflake infrastructure, pulling data from and pushing data back into Snowflake via the Snowflake/Atlas connector.
- ATLAS Master Data Management offers snowflake users an intuitive and easy-to-use interface designed for end users to take ownership of their data and flows of data
- Through this portal, users validate data matches, manage data exceptions, and add supplementary data via the seamless Excel add-in.
- Snowflake users can also leverage ATLAS’ library of 40+ connectors to Private Capital systems, market data providers and fund administrators to connect new systems reliably and quickly.
- The mastered data is fed back into Snowflake to feed the firm’s downstream reporting and data analysis. Mastered data can also be directly fed to reporting from ATLAS
If needed, Snowflake users can draw on Holland Mountain’s Managed Data Services for data stewardship support if desired, to bolster its internal team. Holland Mountain also offers full development support, including experienced Business Intelligence developers with proficiency in PowerBI and other key platforms.
What are the benefits for firms?
With data playing an increasingly vital role in private capital firms—supporting investment decisions and driving operational efficiency—getting data capabilities right is essential.
Here are some key benefits of implementing ATLAS MDM on Snowflake:
- Efficiency: Manual workflows are replaced by ATLAS MDM’s automated capabilities, eliminating the time spent on spreadsheets and reducing the risk of human error.
- Data integration: ATLAS MDM’s mastering capability allows users to unify data from multiple systems, enabling more in-depth and comprehensive reporting and analysis.
- Data quality: Consolidated, high-quality data feeds into reporting and business intelligence, significantly boosting the effectiveness of data science and AI initiatives.
- Engagement of the team: By removing frustrations and addressing data quality issues, teams across the business are empowered to use data more frequently and take ownership of their own data initiatives.
In addition to the industry’s largest collection of pre-built connectors and powerful mastering tools, ATLAS users also gain access to a library of pre-built modules designed to solve common challenges faced by the private capital industry, with solutions for: Fund Admin Oversight, Track Record, Carried Interest & Co-Investment management, and reporting automation.
MDM = Single Source of Truth
Implementing ATLAS MDM can bridge the gap between disparate data sources and unified, reliable information.
To explore how ATLAS MDM can transform your data management practices, we invite you to schedule a demo with our team of Private Equity technology and data experts.
