Data experts discuss new trends in data analysis
Increasingly, huge data repositories offer tea leaves for businesses to read. Still, what do those tea leaves say — and how do businesses put all the leaves in proper context?
“It’s reasoning through data that has increased the capability of organizations dramatically in the last few years,” said Christian Kleinerman (pictured, left), senior vice president of product at Snowflake Inc.
At Data Cloud Summit 2020, Dave Vellante, co-host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, spoke with Kleinerman; Mai-Lan Tomsen Bukovec (pictured, right), vice president of block and object storage at AWS; and Mark Nelson (pictured, center), executive vice president of product development at Tableau Software LLC. They discussed new trends in data analysis. (* Disclosure below.)
Creating cross-silo value by putting data in relevant context
Kleinerman put the emphasis on the ever-increasing panorama of available data — old, new, and from various sources.
“There are still many companies that have to decide to sample data or to throw away older data, or they don’t have the right data from external companies to put their decisions and actions in context,” Kleinerman said. “Now we have the technology and the platforms to bring all that data together, tear down silos and look at 360 of a customer or entire action.”
Bukovec assented, citing a particular instance of this premise. “One example of that is where we have a customer in the financial sector — somebody in their fraud department got the idea of doing machine learning on top of their customer care recordings,” she said. “And when they did that, they found really interesting data that they could then feed into their fraud detection models. And so you get this kind of alchemy of innovation that happens when you take the datasets of today and yesterday and tomorrow [and] you put them all in one place.”
Through that process, an organization’s whole perspective and frame of reference can shift, according to Nelson.
“At this point in time, [data analysis] is really nothing short of a new microscope or a new telescope that really lets you understand patterns,” Nelson said. “They were always there in the world, but you literally couldn’t see them because of the limitations of the amount of data that you could bring into the picture.”
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the Snowflake’s Data Cloud Summit. (* Disclosure: TheCUBE is a paid media partner for Data Cloud Summit 2020. Neither Snowflake Inc., the sponsor for theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
Since you’re here …
Show your support for our mission with our one-click subscription to our YouTube channel (below). The more subscribers we have, the more YouTube will suggest relevant enterprise and emerging technology content to you. Thanks!
Support our mission: >>>>>> SUBSCRIBE NOW >>>>>> to our YouTube channel.
… We’d also like to tell you about our mission and how you can help us fulfill it. SiliconANGLE Media Inc.’s business model is based on the intrinsic value of the content, not advertising. Unlike many online publications, we don’t have a paywall or run banner advertising, because we want to keep our journalism open, without influence or the need to chase traffic.The journalism, reporting and commentary on SiliconANGLE — along with live, unscripted video from our Silicon Valley studio and globe-trotting video teams at theCUBE — take a lot of hard work, time and money. Keeping the quality high requires the support of sponsors who are aligned with our vision of ad-free journalism content.