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DataTrim Data Laundry
Data Quality Assessment and Automated Cleaning
- Business Need
- Data Cleansing
- Requires
- Sales Cloud
Out-of-the-box Data Quality Dashboards, Reports, Scores and Indicators for user friendly Data Quality Assessment. Data validation and cleaning with world-wide data recognition functionality for automated Cleaning and Validation of customer data.
Compatibility
- RequiresThis solution requires these products in order to work. Before you implement the solution, check that you have these products.
- Sales Cloud
- Salesforce Editions
- ProfessionalEnterpriseUnlimited
App Details
- Version
- DataTrim Data Laundry/Summer 2025 - DL 1.39.0
- Listed On
- 03/14/2007
- Latest Release
- 06/27/2025
- Supported FeaturesNo LimitsThis product's apps, tabs, and objects don't count against your Salesforce org limits. Learn More in HelpLightning ReadyOptimized for Salesforce orgs that use Lightning Ready.Managed PackageThis product is installed in your Salesforce org as a managed package and receives automatic upgrades.
- No LimitsLightning ReadyManaged Package
- Package ContentsIf this app is a managed package, the custom apps, tabs, and objects that it contains don't count against your Salesforce allocations. If this app is not a managed package, allocations apply. Learn More in Help
- Custom Objects: 3Custom Tabs: 3Custom Apps: 1
- Lightning Components
- Global: 0App Builder: 0Community Builder: 0
- Languages
- English
Security
Additional Details
DataTrim Data Laundry is best practice data quality assessment, data validation and cleaning App in-a-box. The data quality assessment functionality includes dashboards, reports, data quality scores, and visual data quality Indicators, i.e. a solution for effective assessing and measuring of data quality levels across Leads, Accounts and Contacts. Basically, answering your question: What is wrong with my data? The cleaning functionality will address the dirty data issues: Identifying and standardizing address information according to country specific address structures, normalize and standardize elements like postcodes, location, region, country, etc. The solution will furthermore validate email, URL and phone/fax/mobile respecting local preferences and languages. Job Titles are mapped into Job-Role and Job-Function, providing standardized picklist values for effective selection of leads and contacts for your campaigns. The results of a data cleaning are applied directly to your salesforce data. Records which fail the validation checks are flagged - allowing you or your team to validate and correct the records in Excel or via enrichment services like data.com
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d2b International ApS
Copenhagen, Denmark