Validity Introduces DemandTools Elements

Validity, a provider of data quality and email marketing solutions, today launched DemandTools Elements, a cloud-based lower-cost option to the full DemandTools suite that allows businesses to deduplicate data within Salesforce.

DemandTools Elements provides a dashboard view of duplicate level and allows users to control how duplicates are identified and how each field value is handled. They can also find and merge duplicate records in standard and custom objects with advanced matching algorithms, custom master record selection, and field-level data retention rules. Furthermore, DemandTools Elements ensures the CRM only holds unique records and retains the information users will need.

Key features include the following:

• Duplicate dashboard, showing the total number of duplicates for Leads, Accounts, Contacts, and Opportunities.
• Comparison types, with access to more than 25 exact, fuzzy, and customizable matching algorithms to match field values, including acronyms and nicknames.
• Pre-configured matching rules, but with the freedom to modify settings to meet specific data needs.

"Solutions like DemandTools Elements play a crucial role in automating a company's CRM strategy, particularly for small businesses that may be faced with the challenge of operating with fewer resources and smaller staff," said Chris Hyde, global head of data solutions at Validity, in a statement. "Data health is at the core of a business and, if compromised, can cause a devastating ripple effect that impacts the bottom line. With the support of DemandTools Elements, companies can ensure their data remains their most valuable asset in achieving their overarching CRM goals."

"The DemandTools Elements dedupe model is the jewel in the crown of the DemandTools suite," said Mike Peppou, head of business solutions at UNICEF, in a statement. "As a nonprofit with high volumes of data coming from many external sources, the only way to stay on top of duplicates is through automation. DemandTools has allowed us to build complex rules to automatically eliminate the vast majority of duplicates and flag those that need to be manually checked. It's a cornerstone of our data management strategy."

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