SAN FRANCISCO, CA — (Marketwired) — 01/19/16 — , the global leader in Cloud BI and Analytics for the Enterprise, today announced new capabilities for its Networked BI Platform, including Birst Mobile for Android, Collaboration, and End-User Data Preparation. These new capabilities further empower enterprise end users to work with data autonomously with unprecedented agility and speed, while maintaining governance and consistency. Birst–s Networked BI Platform creates a network of interwoven BI instances that share a common analytical fabric, eliminating data silos to ensure collaboration and accelerate the delivery of BI across the enterprise.
“To stay ahead of the curve, we need to empower all business users across departments to work freely with data without sacrificing governance and agility,” said Joe Sims, Director of Information Management, . “With Birst–s Networked BI platform and its new end-user data prep capabilities, users have access to interconnected virtual instances of data that enable them to make the most accurate, data-driven decisions.”
With these new capabilities, Birst delivers the end-user ease-of-use and governance capabilities necessary for enterprise-wide analytics. End-User Data Preparation gives users the ability to rapidly refine their own data, analyze it by itself, or blend it with data from other folks in the BI network. Now, all users can glean insights on their own while also staying networked and connected to other users. This eliminates the siloes that emerge from analyzing data on a desktop and ensures one seamless connection.
Extending the power of the network, Birst–s Collaboration capability enables any user in the network to collaborate through in-context discussion threads that mimic their daily social media interactions. In contrast to the basic collaboration capabilities offered by other BI platforms, user posts, within Birst, capture the data in context, ensuring that users can see the data as it was, when the original posts were created.
Additionally, Birst Mobile for Android enables global audiences to access the same data whether on a desktop, laptop or mobile. Offline capabilities automatically sync data and content so business users can view mobile analytics even when not connected.
“Birst–s revolutionary approach to BI allows for agility, so business users can operate in their own personal BI sandbox while staying connected across the entire enterprise,” said Brad Peters, Chief Product Officer, Birst. “Unlike traditional approaches, Birst–s Networked BI Platform helps business leaders empower users to work freely with data, while delivering trust, governance and agility at scale.”
, built on top of its next-generation, multi-tenant cloud architecture redefines the way BI is delivered and consumed. Unlike antiquated approaches to BI, Birst–s approach delivers an interwoven fabric of data to drive consistency, trusted collaboration and transparent governance between centralized and decentralized teams. Birst–s new Mobile for Android, Collaboration and End-User Data Preparation capabilities are available to customers both in the cloud and on-premise. To learn more about Birst–s Networked BI platform, visit .
News: Announces New Capabilities for Networked BI Platform, Further Eliminating Data Silos
Birst is the global leader in Cloud Business Intelligence (BI) and Analytics for the Enterprise. Birst–s Networked BI platform redefines the way BI is delivered and consumed, eliminating analytical silos to dramatically improve the speed, alignment and economics of BI across the enterprise. Built on top of Birst–s next-generation, multi-tenant cloud architecture, Networked BI enables centralized and decentralized BI applications to be transparently connected via a shared analytical data fabric, delivering local execution with global governance. Today, Birst serves thousands of organizations across the globe by making trusted enterprise business data a part of everyday operational decision making. Learn more at and join the conversation .
Steve Bauer
Birst, Inc.
628.444.5101
650.670.7135 (m)
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