Datawatch has announced the release of Datawatch Swarm 2.2, delivering built-in automation that connects data scientists with business analysts to better scale advanced analytics across the entire organization without increasing headcount.
According to the vendor, the integration between Datawatch Swarm and Datawatch Angoss, the predictive and data science platform, creates an enterprise data intelligence marketplace that acts as a virtual exchange of trusted data and an execution environment for every data role in an organization.
“Forward-thinking enterprise data teams that support their organizations with strategy, structure and tools are on a mission to achieve better cross-functional use of data amidst increasingly scarce data science resources,” said Rami Chahine, VP of product management Datawatch. “Our latest release of Datawatch Swarm allows them to build forward-looking predictive analytics that enable businesses to become more data savvy and make use of data science resources for all critical business decisions. Businesses can now leverage in-house data science resources more effectively, enabling better collaboration between data science teams and lines of business.”
Offered as either a cloud or on-premise data intelligence platform, Datawatch Swarm was designed to make data more accessible across an organization and increase the range of analytics capabilities for users of any skill level. With this latest release, Datawatch Swarm now improves the accessibility of advanced analytics by leveraging scare data science resources and models more effectively, and giving data scientists easier access to curated, trusted data sets from the line of business users who possess the context.
New features in this release include a new graphical flow-based UI; greater collaboration and controls; detailed information cards; advanced automation; and more connected data sources including Google, Tableau, and SharePoint along with a number of new custom connectors for SAP HANA, AWS Redshift, Teradata. and Cloudera
For more information, go to www.datawatch.com.