Naveego Unveils New Era of Cloud-Based Data Quality and Master Data Management Solutions

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by Angela Guess

A new press release reports, “Naveego, an emerging leader of cloud-based Data Quality (DQS) and Master Data Management (MDM) solutions, announced today a new release of Naveego DQS. The company continues to innovate and design a new era of DQS and MDM products to proactively manage, detect and eliminate data quality issues across enterprise systems. The offerings seamlessly connect to cloud and on-premises data sources to deliver insight and critical information that customers can use to improve business efficiencies, creating a competitive advantage.”

The release continues, “A recent report by Research and Markets asserts that the data quality tools market size is expected to grow from $610 million in 2017 to $1.3 billion by 2022, at a compound annual growth rate (CAGR) of 17.7 percent. The report attributes this growth to the burgeoning use of technology. Prices for gadgets have come down, giving more users access to smart devices, and the use of powerful computing tools has gone up, resulting in a data explosion. This ever-expanding amount of data has led to complex data types and formats, requiring that users have the ability to understand and evaluate information in order to make rapid, actionable decisions. These factors, in parallel with the need to meet compliance and regulatory requirements, are expected to drive the growth of the data quality tools market.”

Stewart Bond, director of Data Integration and Integrity software research at IDC, noted, “Data quality solutions are a critical component for enterprises to keep pace with the digital transformation era. Data is distributed across new silos of software as a service (SaaS) applications, big data repositories, and databases in the cloud and on-premises environments… Naveego is giving organizations visibility into data flows across these disparate silos to uncover the root causes of data quality issues. This new level of visibility is helping organizations take corrective action to stop bad data at the source of entry, and normalize data across the system environment to ensure that organizations have a single version of information assets that they can trust.”

Read more at Marketwired.

Photo credit: Naveego

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