Data is arguably one of the most important aspects of a business. Good data helps drive decisions that improve products, services, and customer experiences. If your organization has bad Salesforce data, you will start to notice inconsistencies down the line that can challenge marketing campaigns, sales initiatives, reporting, and analysis.
Data naturally decays over time, so without a proper cleanse that fixes recurring errors, bad Salesforce data will continue to worsen and hinder your business. In this blog, I’m going to identify common types of bad data, why you should complete Salesforce data cleaning, and give you tips for improving these processes.
What is bad Salesforce data?
- Duplicates: Multiple different records that have similar or the exact same data.
- Inaccuracy: Typos, data entry errors, or fields that are filled in incorrectly.
- Irrelevancy: Records or contact information that is outdated or no longer relevant.
- Inconsistency: No standardization with formatting fields within records.
- Incomplete: Missing data in key fields, such as company size, industry, or title.