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Karel Callens (@KarelCallens, CEO/Founder @luzmo_official) talks about the importance of SaaS Analytics and how to build dashboards into SaaS services while maintaining security and compliance
SHOW: 779
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT - "CLOUDCAST BASICS"
SHOW SPONSORS:
SHOW NOTES:
Topic 1 - Welcome to the show. Karel, tell us a little bit about your background, and what brought you to create Luzmo (formally Cumul.io)
Topic 2 - Our topic today is SaaS Analytics. Let’s start with SaaS as an industry. We’ve covered the rise of SaaS here on the show over the years, but we haven’t really dug into the operations and analytics side in the past. Why is there a need for SaaS analytics? What problem are we trying to solve?
Topic 3 - How does the concept of data visualization come into play when building out SaaS? What are the benefits, and what are we saving? Is this time to value? Service cost
Topic 4 - How does data locality and regulations in the industry impact this? Take GDPR or CCPA, for example. Are they working as intended?
Topic 5 - What are the most common use cases you see with your customers today
Topic 6 - Are there limits or best practices to data exposure in a service? Just because you can expose something doesn’t mean you should. How do you recommend organizations tackle the proper balance?
FEEDBACK?
4.6
147147 ratings
Karel Callens (@KarelCallens, CEO/Founder @luzmo_official) talks about the importance of SaaS Analytics and how to build dashboards into SaaS services while maintaining security and compliance
SHOW: 779
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT - "CLOUDCAST BASICS"
SHOW SPONSORS:
SHOW NOTES:
Topic 1 - Welcome to the show. Karel, tell us a little bit about your background, and what brought you to create Luzmo (formally Cumul.io)
Topic 2 - Our topic today is SaaS Analytics. Let’s start with SaaS as an industry. We’ve covered the rise of SaaS here on the show over the years, but we haven’t really dug into the operations and analytics side in the past. Why is there a need for SaaS analytics? What problem are we trying to solve?
Topic 3 - How does the concept of data visualization come into play when building out SaaS? What are the benefits, and what are we saving? Is this time to value? Service cost
Topic 4 - How does data locality and regulations in the industry impact this? Take GDPR or CCPA, for example. Are they working as intended?
Topic 5 - What are the most common use cases you see with your customers today
Topic 6 - Are there limits or best practices to data exposure in a service? Just because you can expose something doesn’t mean you should. How do you recommend organizations tackle the proper balance?
FEEDBACK?
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