
Sign up to save your podcasts
Or


In this episode of Making Risk Flow, Juan is joined by analytics expert Paul Mang, Innovation Advisor at Guidewire and former global CEO of Analytics at Aon, to discuss the use of analytics in insurance and how to get better returns on such investment. Juan and Paul also address how the industry can make progress through interoperability, ways in which analytics can improve efficiency whilst driving down costs, and why the insurance industry needs to focus on increasing its relevancy.
Fan Mail: Got a challenge digitizing your intake? Share it with us, and we’ll unpack solutions from our experience at Cytora.
To receive a custom demo from Cytora, click here and use the code 'Making Risk Flow'.
Our previous guests include: Bronek Masojada of PPL, Craig Knightly of Inigo, Andrew Horton of QBE Insurance, Simon McGinn of Allianz, Stephane Flaquet of Hiscox, Matthew Grant of InsTech, Paul Brand of Convex, Paolo Cuomo of Gallagher Re, and Thierry Daucourt of AXA.
Check out the three most downloaded episodes:
By Cytora2
44 ratings
In this episode of Making Risk Flow, Juan is joined by analytics expert Paul Mang, Innovation Advisor at Guidewire and former global CEO of Analytics at Aon, to discuss the use of analytics in insurance and how to get better returns on such investment. Juan and Paul also address how the industry can make progress through interoperability, ways in which analytics can improve efficiency whilst driving down costs, and why the insurance industry needs to focus on increasing its relevancy.
Fan Mail: Got a challenge digitizing your intake? Share it with us, and we’ll unpack solutions from our experience at Cytora.
To receive a custom demo from Cytora, click here and use the code 'Making Risk Flow'.
Our previous guests include: Bronek Masojada of PPL, Craig Knightly of Inigo, Andrew Horton of QBE Insurance, Simon McGinn of Allianz, Stephane Flaquet of Hiscox, Matthew Grant of InsTech, Paul Brand of Convex, Paolo Cuomo of Gallagher Re, and Thierry Daucourt of AXA.
Check out the three most downloaded episodes:

9,556 Listeners

1,368 Listeners

9 Listeners

8,580 Listeners

21 Listeners

25 Listeners

9,932 Listeners

15,263 Listeners

3,045 Listeners

984 Listeners

801 Listeners

2,198 Listeners

1,430 Listeners