Leveraging Snowflake data cloud integration for business intelligence – SiliconANGLE

In the changing landscape of data integration and business intelligence, companies are increasingly turning to solutions like Snowflake’s data cloud integration to streamline data accessibility and analytics.

The integration of platforms such as Domo with Snowflake’s data cloud exemplifies how organizations can leverage these tools to enhance data management, improve business processes and drive strategic decisions, according to RJ Tracy (pictured, left), senior vice president of strategic development and channel at Domo Inc.

“Domo really has a pretty broad platform and we wrap around Snowflake. So we start with an integration layer. We have over a thousand pre-built connectors that help people get data,” Tracy said. “We also have a full ETL layer that allows you to prepare your data…and then on the other side, we have a full visual layer and a low-code, no-code app platform. All of that’s wrapped around an AI service layer that allows us to leverage all the really innovative things that Snowflake’s doing with AI and serve it out to the end-of-business user.”

Tracy and David Damitz (right), global business intelligence team lead at TaylorMade Golf Co., spoke with theCUBE’s Rebecca Knight and Dave Vellante at Data Cloud Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the integration of Domo with Snowflake for enhanced data management, the challenges of breaking down data silos, automating repetitive tasks and empowering business users with self-service analytics and artificial intelligence tools. (* Disclosure below.)

Enhancing data management with Snowflake data cloud integration

The automation of repetitive tasks and the empowerment of business users through self-service analytics and AI-driven tools are an important part of the process. The common challenges organizations face, such as data silos and manual data handling, and the steps taken to overcome these hurdles, are in focus now, according to Damitz.

“We have to make data assets available to everyone in the most easy-to-use way possible,” he said. “One of our main issues or challenges was finding all these kind of data silos that were throughout the organization and being able to put them into one place so that people could then take those different data assets and those data sets and kind of play them against each other in different ways that they weren’t able to do previously when they were more siloed.”

AI is transforming customer service through chatbots that access information and Domo’s platform, which uses AI and analytics to save time for representatives. Customers can now fully manage their large language models, according to Tracy.

“I think one I was mentioning, in customer service, we have a lot of documents and things that our reps have to refer to to get information to their customers about,” he said. “Those are things that previously they’d have to go and fish through a bunch of PDF documents and things like that. We’re creating a chatbot on top of a lot of those documents now that’ll go and be able to read those so they can just ask the question, ‘Hey, what is this?’ Bring it up and they can communicate that to the customer.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of Data Cloud Summit:

(* Disclosure: Snowflake Inc. and TaylorMade Golf Co. sponsored this segment of theCUBE. Neither Snowflake and TaylorMade Golf nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE