Birst, a provider of cloud BI and analytics software, has introduced a new technology it calls “Networked BI” to enable global governance with local execution. According to Birst, the new approach furthers its vision of trusted and agile collaboration between both centralized and decentralized teams.
Rather than depending on centralized IT to physically replicate data and metadata infrastructures to enable analytics for decentralized groups, “Networked BI” virtualizes the BI ecosystem. By bringing analytics to the virtual world with “Networked BI,” Birst eliminates data silos once and for all and dramatically accelerates the delivery of BI across the enterprise.
“Antiquated BI and analytics architectures force companies to trade off between agility and governance,” said Brad Peters, chief product officer, Birst. “Now, with Birst Networked BI, companies no longer have to make that trade off.”
Built on top of Birst’s multi-tenant cloud architecture, “Networked BI” creates a network of interwoven BI instances that share a common analytical fabric. The idea, the company says is that organizations can expand the use of BI across multiple regions, departments and customers with greater agility, and these decentralized groups can augment the global analytical fabric with their own local data. The result is enterprise-grade scalability at greater speed and end-user freedom with self-service data preparation capabilities and transparent governance.
By bringing analytics to the virtual world with “Networked BI,” Birst is helping to eliminate data silos. Birst’s multi-tenant cloud architecture makes it possible to create a network of virtual BI instances so companies can achieve both rapid deployment and easy access to BI capabilities, noted Peters.
According to Birst, “Networked BI,” can help geographically-dispersed enterprises to proliferate the use of analytics throughout the entire organization at a pace not possible with traditional approaches, while also reducing costs. Birst “Networked BI” is also of value for software vendors that are looking to embed analytics in their applications. By rolling out new virtual instances of analytics, without having to physically recreate metadata, data and BI content, application vendors can extend analytics to new customers, fast and at scale.
For more information about Birst, go to www.birst.com.