How to Improve the Reliability of Salesforce Data [Case Study]

Docker Case Study ipadFaced with thousands of duplicate records polluting their Salesforce® org, resulting in confusion and a million dollars of lost revenue per year, Docker Inc. needed a solution to their bad data problem. Sales team members had stopped relying on the CRM, marketing automation systems and campaigns were ineffective and practically nonexistent, and an accurate view of the company’s pipeline was nearly impossible to obtain.

After weighing several data cleansing options, Docker chose Cloudingo to clean their data, eliminate the abundance of existing duplicate records, and to stop the hemorrhaging of lost revenue and resources.

Click here to download the case study and learn how Docker improved their Salesforce data.

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