Passage Technology Blog

Outputs from both Salesforce^® and AI are entirely dependent on the inputs—the quality of the data being analyzed. More than ever, your company needs a data optimization process that leverages all of the stakeholders and not just a select few.

Dear PT, 

Managing data and data hygiene in Salesforce^® is a constant struggle at our company. Sometimes, incomplete data can be as damaging as bad data. With different people doing the data entry, it can be difficult to make sure the information is complete every time. For example, Opportunities may not have the key roles for the Contacts properly documented. Is there any easy way to identify and fix these data gaps?

Val I. Dayshon from Roll, AZ

Recently, we launched a new app, Data Quality Helper. It gives Admins and users much more functionality than the default Salesforce data quality tools. As mentioned in our recent blog post, data validation rules and warning messages are now more customizable—something the Salesforce Community has wanted for quite some time.

But that’s only half of the story.

Since July 31, 2007, members of the Salesforce Community have been clamoring for a new feature to be added to the platform—”soft” data validation rules and warnings. On that date, a post was added to the IdeaExchange, and since then it has garnered some 25,000 points and more than 2,500 votes. The people have spoken, and they overwhelmingly support this idea.