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Datawatch Brings “Data Socialization” to Self-Service Analytics

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dwby Angela Guess

A new press release out of the company reports, “Datawatch Corporation today announced its strategic vision and product roadmap for making ‘data socialization’ a reality for all business users of self-service data preparation. Currently in beta, the next addition to the Monarch family will include all of the self-service data preparation benefits for which the product is highly regarded, and, in a first, add key attributes common to social media platforms. This powerful combination will enable data scientists, business analysts and even novice business users across a company to search for, share and reuse prepared, managed data to achieve true enterprise collaboration and agility, resulting in better and faster business decisions.”

The release continues, “Datawatch invented self-service data preparation. Its Monarch product has been used in more than 40,000 organizations to unlock all data, including ‘dark data’ such as PDF reports, web pages, log files, and streaming and multi-structured data. Capitalizing on the largest installed base of data preparation users and unmatched expertise supporting the largest enterprise deployments, Datawatch is applying its unique experience and market position to now deliver a compelling data socialization roadmap starting this quarter.”

It goes on, “Social media platforms have dramatically increased end user expectations about the availability and timeliness of information. Users increasingly have these same expectations for business information, regardless of where the data resides or how it’s formatted. The roadmap for Datawatch Monarch will deliver data throughout the enterprise with many of these same attributes. Key features will include: Cloud-Based Data Preparation – Deliver data preparation and access to everyone, everywhere. Collaboration – Understand the relevancy of data in relation to how it’s utilized by different user roles in the organization (e.g., sales operations or internal auditing); follow key users and data sets; and collaborate to better harness the “tribal knowledge” that too often goes unshared. Crowdsourcing – Leverage user ratings, comments and popularity to make better decisions about which data to use.”

Read more at Globe Newswire.

Photo credit: Datawatch

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