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Demystify Data Quality Strategies for Trusted Data
High quality enterprise data is essential to Enterprise AI success. Learn helpful strategies you can use as you embark on your journey to a trusted data foundation.
Important: This session is first come, first seated. You do not have a reserved seat.

, Sr. Director, Head of Customer & GTM Data, Salesforce

, Director; Customer and GTM Data, Salesforce

, Senior Director, Head of Global Data Governance, Salesforce

Role: IT, Operations
Product: Agentforce 360 Platform, Data 360
Topic: Salesforce on Salesforce
Session Level: Beginner
Session Type: Theater
  • Thursday, Sep 199:30 AM - 9:50 AM PDT
    (4:30 PM - 4:50 PM GMT)
    Moscone West, L2, Room 2000
Session Summary by Einstein: The session provided a comprehensive look at data quality strategies, emphasizing the importance of trustworthy data for business success, with 92% of analytics and IT leaders recognizing it as key to success, yet only 35% of sales professionals trusting their data's accuracy. The discussion covered the definition of trusted data, the importance of data governance, and the need for data quality rules to reflect real-world accuracy and uniqueness to avoid inefficiencies. The presenters shared Salesforce's approach to improving data quality, including defining expectations, evaluating data against these expectations, identifying and rectifying process impacts, and monitoring effectiveness to drive organizational goals.
Key Takeaways by Einstein:

• A robust data quality strategy is likened to a wellness plan for data, consisting of defining, evaluating, rectifying, and monitoring data to align with organizational goals.

• Salesforce's verticalized industry-focused strategy highlighted the critical role of high-quality industry data and the implementation of governance processes to maintain data accuracy.

• The session underscored the iterative nature of improving data quality, advocating for starting with simple steps, aligning efforts with business goals, and engaging business partners in the process.

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With sessions and hands-on activities led by product experts, visionaries, and fellow Trailblazers, Dreamforce offers a deep dive into the latest in CRM + AI + Data + Trust.

Merlinda Lu

Salesforce Developer, IBM