Datawatch Combines Data Prep and Analytics with Machine Learning in Monarch Swarm

Source: Datawatch

Datawatch recently announced the release of Datawatch Monarch Swarm, an enterprise data preparation and analytics product that features “intelligent” capabilities. With the release, Datawatch enters the rapidly expanding market for integrated machine learning and analytics tools. Monarch Swarm is highlighted by its machine learning applications for assisting non-business and advanced users alike to drive collaboration and support for data governance practices. The announcement was made at the Gartner Data & Analytics Summit.

Monarch Swarm offers users with a personalized experience for creating, accessing, validating and sharing datasets and models. It’s headlined by team-driven data preparation for deploying centralized data prep across teams and enabling analytics from any machine. The machine learning provides smart recommendations on relevant datasets with suggested analytics guidelines.

The product includes what Datawatch is calling “multi-structured data capture”, which brings legacy functionality to the browser. This allows users to extract data from multi-structured sources. It also offers data access connections for structured data sources related to enterprise applications including NetSuite, Google AdWords, HubSpot, and shared storage drives such as Microsoft SharePoint, Box, Dropbox and Google Drive.

The company’s Chief of Product Jon Pilkington said in a statement: “The latest release of our enterprise data preparation platform represents the latest stage in the evolution of data analytics by providing a bridge between IT governance and business analyst agility.”

Datawatch and the larger data preparation marketplace have really emerged in recent months. The company was recently named to Constellation Research’s Constellation ShortList for Self-Service Data Preparation. Additionally, we included Paxata amongst our 5 Data Preparation Tools Vendors to Watch back in February.

Read Datawatch’s full press release, or click through to learn more.