Passage Technology Blog

Your Salesforce org's data quality directly impacts every report, automation, and AI initiative you run. If your records contain duplicates, missing fields, or inconsistent formatting, even the most advanced tools won't deliver reliable results. Salesforce data quality apps help you clean, validate, and maintain your records so they're ready for everything from business intelligence to Agentforce implementations.

Recently, Salesforce made some major announcements about their long-standing AppExchange marketplace for platform-compatible software applications. The impact of the new changes will certainly be felt by Salesforce customers and partners alike. 

The first step in Agentforce implementation is improving data and records across the platform—before AI begins its work.

It may not be your competition or market conditions holding back company growth. Elevating the quality of your data might offer numerous opportunities across the enterprise. 

The decisions people make are the key inputs to business AI output. Choose wisely.

Duplicate records in the Salesforce^® platform can create significant challenges for a business, impacting efficiency, decision-making, and customer relationships. When AI tools, such as Agentforce or other solutions, are integrated for customer acquisition and support, these issues can be amplified.

Without that commitment, users may not achieve, initiatives may fail, and the Admin may need to answer some difficult questions. With it, possibilities open up for the business and the Admin’s career—here’s how.

One of the challenges for optimizing the use of Salesforce^® is that many different users create the records stored in the platform. This creates the potential for wide variances in how the records are created and the information they contain. This lack of uniformity can make it difficult to find and unearth actionable insights across numerous business functions.

A key responsibility of every business’s IT and Analytics department is to establish and execute a comprehensive data governance program. Executive leadership teams view this function as vital to a company’s overall risk management and growth potential—and with good reason. This applies to businesses of all sizes, from small to very large.

A business’s operations, and its resulting success, are highly dependent upon the quality of the data it uses. This truism is universally accepted. Data impacts every facet of the business, and with the growing use of AI, the business must be proactive in its data quality strategy.