An architect’s Guide to Salesforce Data Cloud & AI | The importance of Good Quality Data

An architect’s Guide to Salesforce Data Cloud & AI | The importance of Good Quality Data

Did you miss this episode co-hosted by DQE and Salesforce Ben? No need to worry, you can now watch the replay!
Dive into a captivating discussion led by 3 passionate experts and discover the crucial role of data quality, how to boost the power of AI in Salesforce, and optimize the value of Salesforce Data Cloud.
What you will discover:
– The pitfalls of poor data quality, from inefficiencies to financial strains. We will discuss actionable strategies to transform bad data into a reliable asset, emphasizing the ongoing journey towards maintaining data quality.
– How the reliability of AI results can be challenged if your input data is not complete and accurate – echoing the GIGO principle.
– The importance of cleaning your external data to ensure Data Cloud success.

Agenda

– The value of quality data and how it impacts your entire business
– Introducing DQE (Data Quality Everywhere) and DQE One
– Why does Salesforce AI need good data? 
– Ensuring a Single Customer View (SCV) and reachable contact information for AI success 
– An exclusive demo of DIANA, the first Intelligent Assistant to simplify the setup of deduplication in Salesforce
– Elevating Data Cloud capabilities with enhanced data quality
– How DQE can pre-clean your external data within Salesforce Data Cloud
– Demo: Seamless integration with Data Cloud

Speakers

Ian Ayling

Data Quality Expert, DQE

Maurice Higgins

Principal Solution Consultant, DQE

Eric Dreshfield

Salesforce MVP Hall of Fame

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