Co-written by Melissa Hill Dees, Timothy Ay, and Chris Ojeda
Data governance is the backbone of any organization’s data strategy, ensuring data is secure, high-quality, and aligned with business goals. Without robust data governance in place, organizations risk data inaccuracies, compliance failures, and missed opportunities to leverage data for business growth.
In Salesforce, data governance plays an even more critical role, given the vast amount of data organizations collect, store, and process on the platform. If you don’t already have a data governance team or a Center of Excellence, don’t worry—it’s never too late to start. The key is to recognize that data governance is an ongoing, iterative process that requires continuous monitoring and refinement as your organization evolves.
Key Components of Salesforce Data Governance
To build a strong data governance framework within Salesforce, consider the following components:
Data Ownership and Stewardship
Clearly defining who owns the data across departments ensures accountability. Salesforce allows administrators to assign roles and permissions that determine who can access, modify, or share specific data, reinforcing ownership at every level. Assigning data stewards within each department/area to oversee data quality and enforce governance policies at a granular level improves the accuracy and security of data within the platform; stewardship can change as data moves through its Lifecycle.
Data Quality
Data quality is critical in Salesforce, as poor-quality data can derail business processes and decision-making. Establish clear data standards and leverage Salesforce’s native tools—like validation rules, duplicate management, and automation—to maintain data accuracy, completeness, and consistency.
Policies and Procedures
Establishing policies for how data is handled, accessed, and shared is essential for compliance and security. With Salesforce, you can create detailed guidelines that encompass data privacy laws such as GDPR and CCPA or HIPAA, ensuring that your data management processes are legally sound. Addressing the entire lifecycle of data, from creation to archival or deletion, includes establishing retention policies and procedures for data archiving within Salesforce. Consider implementing a data classification system to categorize data based on sensitivity and importance; this helps prioritize security measures and access controls for different types of data. Elaborating on specific security measures such as field-level security, record-level access controls, and encryption protects sensitive data.
Monitoring
Salesforce provides a suite of tools for monitoring data usage and quality. Regularly audit your data to identify any gaps in quality or compliance, and take corrective actions when necessary. For example, Salesforce’s reports and dashboards can be used to track data quality KPIs and identify areas for improvement.
Feedback Loop
A robust feedback loop ensures that users have a voice in the data governance process. Salesforce’s collaborative features, such as Chatter and Slack integration, provide easy ways to gather user feedback and make improvements to data policies. Regularly review feedback to ensure that governance practices remain aligned with user needs.
Innovation
Salesforce is continuously evolving, and your data governance practices should keep pace. Stay informed about new tools and features, such as Salesforce’s Einstein AI and Tableau, which can enhance data analytics and visualization capabilities, and incorporate these innovations into your governance strategy.
User Training
Effective data governance requires that all users understand the importance of data management best practices. In Salesforce, regular training sessions should be held to ensure users know how to handle data, from entering it correctly to utilizing the system’s advanced features. Trailhead, Salesforce’s learning platform, offers a variety of modules to keep your team up-to-date on best practices.
Support
As your Salesforce implementation grows more complex, ongoing support for users is essential. Establish a system where anyone can easily access help with data-related questions or issues in a timely fashion. Salesforce administrators should keep up with release notes from Salesforce that are published three times per year.
Conclusion
Data governance is the foundation of a successful Salesforce implementation. By focusing on the key elements—ownership, quality, policies, monitoring, and training—organizations can ensure that their data is a strategic asset, driving business success. Remember, data governance is not a one-time project but an ongoing conversation that evolves alongside your business needs.
Chris Ojeda, one of Agile Cloud Consulting’s data experts, reminds us:
“Just as we prepare for cold and freezing weather by taking care to protect the 4 P’s — people, pets, plants, and pipes, so should you prepare to steward and protect data entrusted to you by formalizing a robust data governance framework involving the 3 P’s — people, processes, and protocols. Data governance should be a consideration once you know of an impending data acquisition. It’s critical for an organization to recognize and believe in the potential of their data. A governance program inspires such trust by assuring data is secure, accurate, and reliable.”
For more insights and best practices on Salesforce data governance or an assessment of your AI readiness, contact Agile Cloud Consulting.
Sources:
- Salesforce Data Governance Overview; URL: https://www.salesforce.com/blog/data-governance/
- What Is Data Governance (And How to Enhance Yours); URL: https://www.salesforce.com/ca/blog/what-is-data-governance-and-how-to-enhance-yours/
- Data Governance vs. Data Management in Salesforce; URL: https://www.salesforceben.com/data-governance-vs-data-management-in-salesforce/
- What Is Data Governance? (A Comprehensive Guide); URL: https://www.salesforce.com/blog/what-is-data-governance/
