Real-World Case Studies and Customer Success Stories with cloudingo

Cloudingo helped a large US retailer clean and integrate customer data across over 2,500 stores and an ecommerce platform. The retailer faced problems with duplicate records and disconnected systems,... making customer service slow and inefficient. Cloudingo’s data quality and deduplication platform, combined with Mulesoft’s Anypoint Platform, identified and merged duplicate records in Salesforce Sales Cloud. This solution improved data consistency and gave the company a 360-degree view of its customers. The retailer now delivers better customer experiences and operates more efficiently.
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Hotze Health and Wellness Center had problems with messy Salesforce data. They had many duplicate and inconsistent records. This made it hard to trust reports and hurt customer service. Brenda, the P...roject Manager, tried to fix the data by hand but it was too much work. She chose Cloudingo to clean and manage the data. Cloudingo helped remove duplicates and keep the data clean. Now, Hotze has better data and smoother business processes.
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The Institute of Design at Illinois Institute of Technology had problems with dirty and duplicate data after moving to Salesforce. They needed to clean up old records and keep their data organized. U...sing Cloudingo, they found and fixed bad data and set up a plan for regular maintenance. This helped them send the right messages to the right people and avoid spamming. Now, they use Cloudingo to dedupe lists and keep their records up to date.
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1-800Accountant had problems with duplicate records in their Salesforce database. This caused sales reps to call customers many times, which annoyed clients and hurt the company’s reputation. Brooke ...Van Remoortere, the Sales Operations Manager, needed to clean up old data and keep new data clean. They used Cloudingo to find and fix duplicate records and set up a plan for ongoing data maintenance. This helped improve customer experience and made their sales process smoother.
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Blue Water Baltimore had trouble understanding their supporters because their Salesforce data was messy and full of duplicate records. They needed to merge data from five nonprofits and clean it up. ...Using Cloudingo, they found and removed duplicate records and organized their data. This helped them get a better view of their supporters. Now, they trust their data more, save money, and manage their information better with a small team.
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Docker Inc. had thousands of duplicate records in Salesforce, causing confusion and lost revenue. The sales team stopped using the CRM, and tracking leads was hard. Docker chose Cloudingo to clean th...eir data and remove duplicates. Cloudingo was easy to use and had good support. After using Cloudingo, Docker improved their data quality and made Salesforce reliable again.
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A large US-based retailer had problems with poor data quality and duplicate records across many systems. Customers and support staff could not easily find order or warranty information, causing lost ...time and poor service. The company wanted a 360-degree view of its customers but faced issues with data spread across different platforms. They used Cloudingo’s data quality platform and Mulesoft’s integration tools to clean and connect their data. This helped them merge duplicate records and update all systems, improving customer service and efficiency.
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Catalogic Software needed to move data from Microsoft Dynamics to Salesforce. Their data was complex, shared by many divisions, and had no clear standards. They chose Symphonic Source to help with th...e migration. Symphonic Source split, cleaned, and moved about a million records to Salesforce. The project included custom objects, files, and special data needs. The new system helped Catalogic start sales and marketing quickly.
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Lucid Design Group had problems with duplicate records in Salesforce. Salespeople wasted time calling leads that were already customers or disqualified. The company spent hours manually merging and c...onverting records. They chose Cloudingo to help clean their data. Cloudingo made it easy to find and merge duplicates and automate the process. This saved time and improved data quality for both sales and marketing teams.
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Kindred Healthcare had many different data systems after several acquisitions. This caused a lot of duplicate and inaccurate data. They wanted to make Salesforce their main data system and needed to ...clean and sync all their records. They used Cloudingo’s API to find and link over 30,000 duplicate records before moving data into Salesforce. Now, they use Cloudingo every day to keep their data clean and up to date.
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