Dominik Claßen, Sales Engineering Team Laed at Pentaho
Drawing on Pentaho's wide experience in solving customers' big data issues, Dominik positions the importance of analytics in the IoT.
[-] Understanding the challenges behind data integration & analytics for IoT
[-] Future proofing your information architecture for IoT
[-] Delivering IoT analytics, now and tomorrow
[-] Real customer examples of where Pentaho can help
Next Wave of Self Service Analytics – beyond meeting the needs of the business analysts (ie Qlikview and Tableau)
Users need to be self-reliant regardless of data type
Need broader set of analytics to meet their needs – advanced analytics as well as operational intelligence
Broader audience such as Data Scientists, Operations Analysts, Business Managers, as well as Developers
Analytics need to be simpler and more intuitive to use
Easy to access and quick to get the information required
Different Audiences, Different Needs:
Includes Executives, Business Users, Business Analysts, Data Scientists, but also IT Administrators and Developers
Broader solutions with broader set of complex data sources and types of analytics required
Icons are nice and the build-order is great!
My suggestion the top 3 icons on the left-hand side:
Customer
Provisioning
Billing
Suggestion for the bottom 3 icons:
Web
Network
Social Media
(note: Location seems to be important to AT&T but we can just mention this)
I need to come up with an explanation for why the arrow below “Just in Time Integration” is bi-directional instead of just flowing to Analytics
Icons are nice and the build-order is great!
My suggestion the top 3 icons on the left-hand side:
Customer
Provisioning
Billing
Suggestion for the bottom 3 icons:
Web
Network
Social Media
(note: Location seems to be important to AT&T but we can just mention this)
I need to come up with an explanation for why the arrow below “Just in Time Integration” is bi-directional instead of just flowing to Analytics