Expanding The Reach of Business Intelligence Through Ubiquitous Embedded Analytics With Sisense
Data Engineering Podcast
Shownotes Transcript
Summary
Business intelligence has grown beyond its initial manifestation as dashboards and reports. In its current incarnation it has become a ubiquitous need for analytics and opportunities to answer questions with data. In this episode Amir Orad discusses the Sisense platform and how it facilitates the embedding of analytics and data insights in every aspect of organizational and end-user experiences.
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 Amir Orad about Sisense, a platform focused on providing intelligent analytics everywhere
Interview
Introduction
How did you get involved in the area of data management?
Can you describe what Sisense is and the story behind it?
What are the use cases and customers that you are focused on supporting?
What is your view on the role of business intelligence in a data driven organization?
How has the market shifted in recent years and what are the motivating factors for those changes?
Many conversations around data and analytics are focused on self-service access. what are the capabilities that are required to make that a reality?
What are the core challenges that teams face on their path to designing and implementing a solution that is comprehensible by their stakeholders?
What is the role of automation vs. low-/no-code?
What are the unique capabilities that Sisense offers compared to other BI or embedded analytics services?
Can you describe how the Sisense platform is implemented?
How have the design and goals changed since you started working on it?
What is the workflow for someone working with Sisense?
What are the options for integrating Sisense with an organization’s data platform?
What are the most interesting, innovative, or unexpected ways that you have seen Sisense used?
What are the most interesting, unexpected, or challenging lessons that you have learned while working on Sisense?
When is Sisense the wrong choice?
What do you have planned for the future of Sisense?
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)
Sponsored By:
- Linode): [
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