Imagine spending hours chasing leads only to discover half of them are duplicates, outdated, or linked to the wrong accounts. That is the reality of working with messy CRM data. It makes work harder for your sales team, takes up valuable time, and leads to missed deals.
Data cleanup services can fix this issue. Instead of spending hours fixing messy data, your team can focus on what really matters—closing deals and growing the business.
If messy data is causing problems, here are the 8 best tools to keep your CRM clean and organized.
1. LeadAngel
Messy CRM data can slow down your sales team and cause missed opportunities. Wrong contact details, duplicate records, and misplaced leads make it harder to reach the right people.
LeadAngel fixes this by cleaning up data, removing duplicates, and making sure every lead goes to the right account.
With lead-to-account matching and intelligent deduplication, LeadAngel helps sales and marketing teams work with clean, reliable data instead of wasting time fixing errors.
It automatically organizes and standardizes CRM records, so teams can focus on selling instead of cleaning up data. With LeadAngel, you can expect faster lead routing, better sales insights, and improved team productivity.
A well-maintained CRM means more accurate sales forecasting, smoother operations, and higher conversion rates. LeadAngel makes it easy to keep your data in check, so your business can grow without data getting in the way.
2. Data Cleaner
Source: Datacleaner.com
Data Cleaner is a data quality tool designed to help businesses identify and correct errors in their CRM and databases. It automatically cleans, removes duplicates, and checks data for errors to keep records correct and updated.
Data Cleaner integrates with popular CRMs and databases, which makes it easy to fix large sets of data quickly.
However, it does not fully automate ongoing cleanup. Users may need to manually review or schedule cleanups to keep their CRM in good shape. The setup can also be tricky for beginners and requires some time to learn the tool.
3. OpenRefine
Source: OpenRefine.com
OpenRefine is an open-source tool designed for cleaning and transforming messy data. Users can find duplicates, fix formatting, and organize messy data. It has filters and bulk editing tools, making it helpful for handling large datasets that need careful checking and manual fixes.
While OpenRefine offers flexibility and advanced data transformation features, it is not a fully automated solution. Users must manually configure cleaning processes, which can be time-consuming for businesses looking for hands-off data maintenance.
Additionally, its interface and command-based operations may require a learning curve for non-technical users.
4. WinPure
Source: WinPure.com
OpenRefine is an open-source tool that helps clean up and organize messy data. Users can spot duplicates, fix formatting, and organize messy data. It has filters and bulk editing tools that make it useful for managing large amounts of data, where data professionals can use it to clean and analyze complex information.
However, it is not a fully automated tool. Users need to manually set up cleaning processes, which can take time for teams looking for a hands-off approach.
Its interface also leans more toward command-based operations, meaning non-technical users may face a learning curve when getting started.
5. Cloudingo
Source: Cloudingo.com
Cloudingo is a CRM data cleansing tool designed specifically for Salesforce users who want to keep their database accurate and clutter-free. It helps businesses find, merge, and remove duplicate records while preserving data integrity.
With automation features, Cloudingo takes the manual work out of cleaning up messy CRM data, making it easier to maintain an organized system. It also supports bulk updates, so teams can clean and modify large datasets in just a few clicks.
Despite its strong integration with Salesforce, Cloudingo is limited to this platform, making it unsuitable for businesses using other CRMs. While it offers automation, users may still need to manually review some matches to avoid merging errors.
Additionally, its pricing can be on the higher side compared to more general-purpose data cleanup tools.
6. TIBCO Clarity
Source: Tibco.com
TIBCO Clarity is a data quality management tool that helps businesses remove duplicates, fix errors, and organize large datasets. It can also fill in missing details and keep data consistent across systems. It works on both cloud and local setups, making it useful for companies handling a lot of data.
Still, it is not the simplest option for small teams. Some features require technical skills, which can make it harder for beginners. Also, pricing isn’t publicly available, which might be an issue for some companies.
7. DemandTools
Source: Validity.com/demandtools/
DemandTools is a powerful data cleanup tool built for Salesforce users who want to keep their CRM organized and accurate. It helps businesses clean up duplicate records, fix inconsistencies, and process bulk updates with ease.
The tool offers customizable rules, allowing teams to automate data validation and ensure every record is formatted correctly. For companies managing large volumes of leads and contacts, DemandTools makes it easier to maintain a clean and structured database.
The downside is that it’s not the most beginner-friendly option. The interface can be overwhelming at first, and setting up automation rules requires some learning. Since it only works with Salesforce, businesses using other CRMs will need to look for alternative solutions.
8. IBM InfoSphere QualityStage 
Source: ibm.com/products/infosphere-qualitystage
IBM InfoSphere QualityStage is a data cleansing and validation tool designed for businesses that need to manage large amounts of data. It helps detect and remove duplicates, standardize records, and ensure data accuracy across different systems.
The tool integrates with IBM’s broader data management solutions, making it a suitable option for organizations that require strict data quality control.
Since it is built for large-scale data environments, IBM InfoSphere QualityStage may require technical expertise to set up and manage effectively. It is best suited for enterprises with dedicated data teams rather than smaller businesses looking for a quick and easy solution.
Pricing is not listed publicly, as it is typically customized based on business needs.
Make CRM Data Cleanup Easier with LeadAngel!
Keeping your CRM clean is not just about removing duplicates. It is about having accurate data, improving lead routing, and helping your sales team focus on what really matters: closing deals.
A messy database slows everything down, but the right data cleanup tools can turn scattered, unreliable records into a valuable asset for your business.
LeadAngel makes CRM data cleanup simple with automatic deduplication, lead-to-account matching, and intelligent data organization. Instead of spending hours fixing errors, your team can work with accurate, up-to-date records that support better decision-making and faster sales cycles.
If you are ready to take control of your CRM data, sign up for free or book a demo with LeadAngel today and see how easy data cleanup can be.
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In addition to exploring the platform, we recommend visiting our LeadAngel Help Center for in-depth guidance. Our dedicated customer support team is also available to answer any questions you may have at sales@leadangel.com.
FAQs
The cost of data cleaning services varies based on factors like the size of your database, the complexity of the data cleansing process, and the type of tool or service you choose. Some data cleansing companies offer free basic plans, while advanced solutions with automated data analysis and CRM data cleansing services can cost hundreds or even thousands of dollars per month. If you are outsourcing data cleansing, some providers charge per record or per project. The best approach is to evaluate your needs and outsource data cleansing services only if the cost justifies the value it brings to your business.
Data cleansing services help businesses improve data accuracy by removing duplicates, fixing structural errors, standardizing records, and eliminating missing data. These services can be fully automated using data cleansing tools or managed manually by data cleansing companies specializing in deep data review and correction.
If you are concerned about privacy and inaccurate data appearing in online records, personal data removal services can be helpful. These services assist in removing personal details from public databases, marketing lists, and data broker sites, reducing risks like spam, identity theft, or unwanted solicitations. However, some data cleansing outsourcing services charge high fees for tasks you may be able to complete yourself. It is best to research data cleansing companies and compare what they offer before committing to a service.
The best approach to data cleansing depends on the size and complexity of your dataset and how often you need to clean it. For small datasets, a manual review in Excel or Google Sheets can work. For larger datasets, especially in CRM data cleansing services, using automated tools for data cleansing and analysis is the best option. These tools help fix formatting issues, eliminate missing data, and ensure accurate and reliable data across your system. Setting up automated data validation rules and scheduled cleanups is a proactive way to prevent messy data from accumulating in the first place.