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.

See how your feedback is making an impact on our Milestones PM+, Data Quality Helper & Rollup Helper apps!

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.

Have you ever stared at your Salesforce^® org, scratching your head over a jumble of phone numbers that look like they came from different planets? One's got parentheses, another's dashed like a secret code, and some might have non-numerical notes for extensions and such. If this sounds familiar, you're not alone.

Having to engage in an audit of any kind is not usually seen as one life’s most enjoyable activities. Some audits (like tax audits) can be especially frightening, but as a general rule doing any type of audit, at minimum, can be a chore. Auditing the quality of your Salesforce^® data is no exception to this general rule.

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.