Summary
Business intelligence has gone through many generational shifts, but each generation has largely maintained the same workflow. Data analysts create reports that are used by the business to understand and direct the business, but the process is very labor and time intensive. The team at Omni have taken a new approach by automatically building models based on the queries that are executed. In this episode Chris Merrick shares how they manage integration and automation around the modeling layer and how it improves the organizational experience of business intelligence.
Announcements
- Hello and welcome to the Data Engineering Podcast, the show about modern data management
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- Your host is Tobias Macey and today I'm interviewing Chris Merrick about the Omni Analytics platform and how they are adding automatic data modeling to your business intelligence
Interview
- Introduction
- How did you get involved in the area of data management?
- Can you describe what Omni Analytics is and the story behind it?
- What are the core goals that you are trying to achieve with building Omni?
Business intelligence has gone through many evolutions. What are the unique capabilities that Omni Analytics offers over other players in the market?
- What are the technical and organizational anti-patterns that typically grow up around BI systems?
What are the elements that contribute to BI being such a difficult product to use effectively in an organization?
Can you describe how you have implemented the Omni platform?
- How have the design/scope/goals of the product changed since you first started working on it?
What does the workflow for a team using Omni look like?
What are some of the developments in the broader ecosystem that have made your work possible?
What are some of the positive and negative inspirations that you have drawn from the experience that you and your team-mates have gained in previous businesses?
What are the most interesting, innovative, or unexpected ways that you have seen Omni used?
What are the most interesting, unexpected, or challenging lessons that you have learned while working on Omni?
When is Omni the wrong choice?
What do you have planned for the future of Omni?
Contact Info
Parting Question
- From your perspective, what is the biggest gap in the tooling or technology for data management today?
Closing Announcements
- Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning.
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Links
The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA
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