Precisely: Use-Cases, Insights and Reviews | 2026 Cuspera

EngageOne Communicate helped Blancheporte launch its new shopping app. The company wanted to reach women aged 50 and older. They used direct mail with a QR code linking to a personalized video. The v...ideo showed app features and made it easy to download. Blancheporte saw a 13.5% QR code scan rate, higher than their old print-only campaigns.
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Precisely’s solution helped a leading U.S. health plan fix a major data quality issue. The health plan used Precisely for controls and reconciliation in their mainframe systems. In 2015, a review fou...nd that manual controls and limited monitoring left gaps. Data errors went undetected at a key interface. Precisely and the customer worked together to improve automation and visibility. The changes gave the health plan better insight and faster issue detection.
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Assure MIMIX HA helped OCBC Bank reduce downtime and improve response to branches and customers. The bank processes over one million electronic transactions daily and needed a high availability solut...ion. Before, recovery took about eight hours and required manual re-keying of transactions. With Assure MIMIX HA, data replicates in real time and recovery is almost immediate. The solution eliminates human error and provides peace of mind for IT operations.
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Keller Williams used Precisely Boundaries to help transform into a technology company. The company wanted to give agents and customers better tools for buying and selling homes. They built a central ...platform called Keller Cloud and a smart CRMplus solution called Command. These tools help agents manage real estate transactions from start to finish. Keller Williams now serves over 1,060 market centers in 47 countries and is number one in U.S. home sales volume.
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Carhartt used Precisely Automate for their SAP implementation. This helped streamline their processes. The processes became as dependable and efficient as Carhartt products.

Precisely Points of Interest and Precisely ID help Generali Real Estate use AI and machine learning for better investment decisions. The company needed to solve problems with data standardization, ac...curacy, and enrichment for its City Forward platform. Precisely provided accurate, consistent, and contextual data to power their models. Generali Real Estate achieved 95% machine learning model accuracy and 80% satellite module accuracy. The solution supports smarter, data-driven real estate strategies.
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