Cambridge, MA, March 17, 2015 (Newswire.com) - Pagos solutions streamline everyday data management and analysis, recently announced the release of Visart 2.1, a self-service data visualization platform. The subscription software provides a web-based alternative to business intelligence using a drag-and-drop data visualization dashboard.
“This is an exciting time in the Information Age. Our clients are using data visualization for leisurely reports, publishing dashboards for news analysis and entertainment, alongside their business needs,” said Ugur Kadakal, CEO at Pagos. “This tells us that thirst for shared knowledge and creativity are growing. The Visart software release reflects the need for actionable practicality and visual aesthetic.”
Competitive data visualization platforms must be efficient and adaptable in order to keep up with the times. Visart bridges the gap between IT and everyone else, which saves time, for all, in the long run.
Ugur Kadakal, PhD, CEO at Pagos
As Kadakal explains, small and medium sized businesses (SMB) are among the most at-risk for falling behind in this rapid transformation of research and commerce. While larger corporations typically have the capital to support personnel training, storage and cost of scalability, SMB managers are often left with traditional spreadsheets that offer limited capabilities.
Working stand-alone or as the front end interface to its data collection compliment, SpreadsheetWEB, Visart software is a self-service, data visualization platform that equips end users with data management, access controls, dashboard design and collaboration – hosted on the c loud or local server.
Visart 2.1 offers new charting features that extend the Microsoft Excel experience with a heavy focus on new data visualization concepts popularized by the d3.js project for more advanced computing, without any code. The drag-and-drop interface allows technical and nontechnical users to speak the same language, with the ability to design and share dashboards that include anything from knowledge discovery to ad-hoc analysis.
“Competitive data visualization platforms must be efficient and adaptable in order to keep up with the times”, Kadakal explained. “Self-service visualization bridges the gap between IT and everyone else, which saves everyone time in the long run. Our vision at Visart is to provide a quality charting engine for teams with time constraints and limited budgets to access the rapid production of data.”
The goal is to make data visualization more accessible for everyone with extended capabilities, a minimal learning curve, and lower price point than the competition.
Press Contact: Tyler Curry | firstname.lastname@example.org | 617-500-8531| www.pagos.com
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