Salesforce Data Cleansing: 7 Key Steps + 8 Best Practices

Why Is Salesforce Data Cleansing Crucial?

You might be wondering, "Is all this fuss about data cleansing really necessary?

The short answer is a resounding yes! Eliminating dirty data is essential for maintaining the accuracy and reliability of your Salesforce instance.

Let’s dive deeper:

1. Ensure Data Accuracy

First and foremost, clean data means accurate data. When your Salesforce org is filled with up-to-date, error-free information, you work with a reliable Database of Record (DBOR).

What’s that?

In CRM, DBOR is the central source of critical business customer data.

Regular data cleansing helps prevent and resolve any data quality issue—ensuring your Salesforce instance remains a reliable source of information for your entire organization.

In short, the accuracy of your Salesforce database is the foundation for all your business decisions and strategies.

Here’s our in-depth guide on CRM Data Management covering 8 smart practices to make the process a breeze.

2. Mitigate Technical Debt

Ever heard of technical debt? It’s a build-up of problems in your CRM system over time. 

These issues often result from bad Salesforce data, such as outdated customer information,  duplicate records, or incomplete data. 

Regular data cleansing helps reduce accumulated inefficiencies and errors, ensuring a smoother Salesforce implementation and maintenance over time. 

This means smoother updates, faster performance, and less time untangling a web of outdated information.

3. Better Usability and Accessibility

Clean data is easy to use and access. Your sales team will save time sifting through irrelevant or duplicate entries. 

Instead, they'll quickly find the information they need, boosting productivity across the board.

4. Better Manage Flow Between Integrations

If your Salesforce instance integrates with other systems, clean data ensures smooth sailing. 

By implementing proper data mapping strategies, you ensure seamless data flow between Salesforce and your other integrated systems.

It prevents errors and data issues from cascading across your tech stack, maintaining data integrity throughout your entire digital ecosystem.

5. Effective Communication and Resource Efficiency

With clean data, your team communicates more effectively, both internally and with customers. 

For example, if your marketing team has the correct email addresses, they can ensure newsletters reach the proper recipients.

No more embarrassing mix-ups due to outdated contact information or conflicting data points.

6. Enables Better Business Decisions

Last but certainly not least, clean data leads to better decision-making. 

When you trust your data, you can confidently use it to drive strategies, forecast sales, and identify new opportunities.

7 Steps to Go About Salesforce Data Cleansing

Ready to roll up your sleeves and get cleaning? 

Here's your step-by-step guide:

1. Analyze the Current Data Quality

Start by getting a clear picture of your data's current state. Here's how to dive in:

  • Run comprehensive data quality reports across all Salesforce objects.
  • Check for bad data symptoms like inconsistencies, duplicates, and incomplete records.
  • Conduct stakeholder interviews to understand data pain points
  • Prioritize areas that need the most urgent attention based on business impact

2. Identify the Pain Points

What's causing the most headaches? 

Is it duplicate entries, outdated information, or inconsistent data formats? Pinpoint these data issues to focus your data management and cleaning efforts.

3. Scan the Data

Use Salesforce's built-in tools or third-party applications to scan your data thoroughly. This will help you catch errors you might miss manually.

4. Correct Data Errors

Now, it's time to fix those errors. This might involve updating outdated information, filling in missing fields, or correcting typos.

5. Transform the Data

Standardize your data formats to ensure consistency across your CRM. 

This means establishing uniform rules for information like phone numbers, company names, and addresses.

Consistent formatting improves data readability, enhances search functionality, and boosts reporting accuracy.

You can also consider data enrichment techniques to add valuable information to your existing records, enhancing the overall quality and usefulness of your data.

6. Set up Data Validation Rules

Think of data validation rules as your CRM's quality control team. They check every piece of information before it enters your system, making sure it's up to standard. 

By setting these up, you're basically telling Salesforce, "Only let the good stuff in!" This way, you catch mistakes early, keeping your data clean and trustworthy.

7. Perform Data Deduplication

Duplicate data is a common culprit in CRM chaos. 

Use Salesforce's built-in Duplicate Management tools to merge or remove redundant entries. 

You can also set up custom matching rules for Leads, Contacts, and Accounts, and consider implementing third-party solutions for more complex deduplication needs. 

Remember, Salesforce deduplication isn't just housekeeping—it's about crafting a unified, accurate customer view that fuels smarter decisions and stronger relationships.

8. Train Your Team

Your data is only as clean as the people inputting it. 

Train your team on best practices for data entry and maintenance to keep your Salesforce org tidy in the long run. 

Ensure each sales rep understands the importance of data quality and how it directly impacts their performance and customer relationships.

8 Best Practices to Maintain Salesforce Data Hygiene

Cleaning your data is great, but keeping it clean is even better. Here are some best practices to maintain good data hygiene for your Salesforce org:

1. Conduct Regular CRM Data Health Checks

Don't wait for problems to pile up. Schedule regular data health checks to catch and address issues early.

2. Establish and Enforce Quality Standards

Create clear guidelines for data entry and management. These guidelines form the foundation of your data governance strategy. 

Make sure everyone on your team understands and follows these standards consistently.

Remember, data governance is an ongoing effort, not a one-time event. It starts with setting and enforcing quality standards but requires continuous attention to data entry practices.

3. Use Salesforce's Built-In Features

Salesforce offers various built-in tools for data management, including the powerful Data Import Wizard for bulk data operations.

4. Use Advanced Tools

While Salesforce's native features are powerful, sometimes you need extra firepower. 

That's where advanced tools come in.

Let’s start with a tool that can transform how your reps add and update data in Salesforce. 

Scratchpad: Your Salesforce Data Entry and Management Ally

Scratchpad is a game-changer for Salesforce data entry and management. It's designed to streamline your workflow and keep your data pristine.

Here's what makes Scratchpad stand out:

  • AI-Powered Suggestions: Scratchpad's AI assistant provides smart suggestions for data entry, reducing errors and saving time.
  • Seamless Note Taking: Easily capture and organize meeting notes, which you can quickly convert into Salesforce data.
  • Command Center: Use Scratchpad Command to quickly update multiple Salesforce records without leaving your workflow.
  • Deal Spotlight: Spot potential issues in your deals before they become problems, ensuring your pipeline data stays accurate.
  • Process Compliance: Automate compliance checks and notifications to maintain Salesforce data hygiene.

What other tools can you consider to ensure Salesforce data cleanliness?

  • Insycle: Great for bulk CRM data cleaning and manipulation.
  • Cloudingo: Excellent for deduplication and data standardization.
  • Weflow: Helps with pipeline management and data quality.
  • WinPure Clean & Match: Advanced data cleansing and matching capabilities within your Salesforce environment.

5. Track Data Quality Progress

Monitoring your data quality isn't just about spotting issues—it's about continuous improvement.

Here’s how to track data quality progress:

  • Conduct regular data audit exercises using Salesforce report and dashboards options to monitor improvements and identify areas that need attention.
  • Implement a scoring system (e.g., 1-100) for different data aspects like completeness, accuracy, and timeliness. For instance, track the percentage of contact records with complete information.
  • Establish metrics like duplicate rate (aim for <5%), data decay rate (typically 30% annually for B2B data), and field completion rate (target >90% for critical fields).

6. Educate Your Team on Data Hygiene Practices

Make data hygiene a part of your company culture. 

Here’s how:

  • Conduct regular training sessions to reinforce good habits.
  • Implement role-specific CRM data cleansing and management guidelines.
  • Encourage a 'clean as you go' mentality in daily workflows.
  • Gamify the process with data quality challenges or rewards.
  • Use real-world examples to demonstrate the impact of clean data on business outcomes.

7. Review User Access and Permissions

Regularly audit who has access to what data, working closely with your Salesforce admin to manage permissions effectively. 

This not only improves security but also helps prevent unauthorized changes that could compromise data quality.

Now, you may be wondering…

How to Choose the Right Data Cleansing Tool for Your Needs

With so many options available, choosing the right data cleansing tool can feel overwhelming. Here are a few tips:

  • Assess Your Needs: What are your biggest data challenges? Look for tools that specifically address these poor data quality issues.
  • Consider Integration: Choose tools that integrate seamlessly with Salesforce and your existing tech stack.
  • Evaluate Ease of Use: The best tool is one your sales team will actually use. Look for user-friendly interfaces and good customer support.
  • Check Automation Capabilities: Tools that offer automated cleaning processes can save you time and ensure consistent data quality.
  • Look at Scalability: As your business grows, your data needs will too. Choose a tool that can scale with you.

In conclusion, Salesforce data cleaning is an ongoing process, but with the right strategies and tools, it's entirely manageable. 

Remember, a tool like Scratchpad can be a great starting point. 

It provides convenient and accurate data entry that can prevent many poor data quality issues before they even occur.

By implementing the best practices we covered above and leveraging powerful tools like Scratchpad, you'll be well on your way to a cleaner, more efficient Salesforce org.

Try Scratchpad for free today!