Big data has unlocked a wealth of insights for corporations large and small. Yet one key challenge many businesses face is figuring out how to bring it all together. Key information is often stored in a mish-mash of data centers and department databases, making it impossible to analyze in full.
In a recent interview on Bloomberg TV Canada, Birst CEO Jay Larson discussed how Birst is using machine learning software and the cloud to solve that problem.
Speaking on Bloomberg TV Canada’s “Innovation Series” segment, hosted by contributing anchor, Anthony Lacavera, Jay talked about Birst’s unique value proposition, which offers “the best of both worlds – combining robust, enterprise capabilities with unsurpassed speed and agility, and integrating a network of data across the enterprise while eliminating analytical silos.”
During the interview, which took place via remote connection between Bloomberg’s Toronto newsroom and the newsroom at Bloomberg’s San Francisco office, Jay noted how Birst customers such as American Express Global Business Travel, Reckitt Benckiser, and Citrix Systems recognize “tremendous ROI, inside a year,” from their investments in the Birst networked business analytics platform – “both in terms of top-line business performance and bottom-line savings.”
Watch the full interview by clicking here.