Syncari Poised to Save Businesses Trillions in Bad Data Costs

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A new press release reports, “Bad data has catastrophic costs for businesses — to the tune of $3.1 trillion each year. Syncari, the modern Distributed SaaS Data (DSD) platform for business, helps organizations solve these costly data inconsistencies by treating the entire SaaS stack as one absolute system, while intelligently cleansing, merging and augmenting data across platforms. ​In recent years, the proliferation of tools has allowed companies to fine-tune their sales and marketing stacks to best fit their needs — but there’s a flip side: ‘Today, companies have 12 to 15 applications hooked into their CRM,’ says Syncari CEO Nick Bonfiglio. ‘All those systems offer their own custom point-to-point connections, which sometimes only flow one way. With every new connection, the idea of unified data gets more and more distant’.”

The release goes on, “Companies and their customers suffer as a result of inaccurate and incomplete data, which negatively affect revenue and growth opportunities. ‘These costs come as people accommodate bad data by correcting errors, seeking confirmation in other sources and dealing with the inevitable mistakes that follow,’ says research by MIT Sloan. They estimate that companies are wasting 15-25% of their revenue because of bad data. ‘Many organizations grapple with poor data quality, which has a profound impact on their ability to make accurate projections and meet customer needs,’ says Ben Bayat, Managing Partner at NGVP. ‘Until now, implementing a sustainable solution to the bad data problem has been elusive.’ ​Syncari changes all that. Syncari cleans, unifies and enforces the quality of customer data, then makes it available across SaaS applications using cutting-edge, multidirectional synchronization. Using Syncari’s intelligent data management, companies can easily interconnect SaaS applications and ensure data quality and data unity across the enterprise, leading to increased revenue and decreased churn due to inaccurate, incomplete or delayed data.”

Read more at Newswire.

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