Tag: DataIntegrity

Salesforce dashboard displaying clean, organized data after implementing data cleansing best practices.

Mastering Salesforce Data Cleansing: Best Practices and Tips

Every decision, strategy, and customer interaction relies on accurate, reliable data. Keeping Salesforce data clean is more critical than ever. Without proper cleansing, your organization risks poor reporting, compliance violations, and revenue loss. Many businesses recognize this but hesitate to act, fearing complexity, disruptions, or uncertainty about where to start. That’s understandable—errors can lead to […]

Visual guide for merging accounts in Salesforce without losing data

How to Merge Accounts in Salesforce Without Losing Data

Duplicate accounts in Salesforce can be problematic, undermining the foundation of your operations. They make it difficult to keep things organized, leading to inaccurate reporting, confused sales teams, and many inefficiencies that will grow as your organization scales. These can cost your business time, money, and customer trust. Merging accounts in Salesforce helps companies overcome […]

Illustration of the Salesforce lead deduplication process to eliminate duplicate records.

Salesforce Lead Deduplication: A Process That Works

Imagine this: You reach out to a new lead, excited to start building a new relationship. But when you contact him, you discover that one of your colleagues is already cultivating that same lead. Sound familiar? You’re not alone. Most sales reps and marketing teams deal with duplicate contact records on a regular basis. It’s […]

Illustration of a CRM dashboard with data validation checkmarks and quality improvement icons.

CRM Data Quality | Best Practices to Assess and Improve

lesforce, provides a major benefit for businesses. Your sales and marketing teams can easily reach a large audience with personalized messaging. Current and past customer documentation is available in real-time. And your team has a wealth of data at their fingertips to help you better serve the customer and improve profitability. But what happens when the CRM data quality is faulty?