Web 2.0 adoption in Insurance – Insurance Web 2.0 Metrix (Part 1)
Over the next few posts, I will be sharing some of the results of the research and benchmarking study done on over 120 global Insurance service providers on their Web 2.0 adoption rates. Infosys Insurance Web 2.0 Metrix is an approach aimed to benchmark the Web 2.0 initiatives across global enterprises and arrive at recommendations, best practices as well as roadmap for future Web 2.0 initiatives. The Metrix comprise of over 30 parameters, which capture various Web 2.0 features including RIA (Rich Internet Applications), Data Feeds such as RSS/ATOM, Podcasts, Tags, Mashups, Rich product visualizations, Blogs, Wikis, dynamic and contextual help etc.
Each Insurance service provider’s website was analysed in detail for the presence/absence and the degree of sophistication of over 30 Web 2.0 features and parameters and they were in turn assigned scores. The sample set consists of Insurance service providers spread across the world. Let us first look at some statistics as part of this study. Total sample size: 120. The sample break-up of Insurance service providers based on country of origin looks like this: USA(47), France(4), Germany (8), Japan(10), Netherlands(2), UK(9), Bermuda (8), Australia(5), Canada(4), Italy (6), Others(18).
The adoption of Web 2.0 features and functionalities among Insurance service providers has so far been low when compared to Retail. The players who figure high on the Insurance Web 2.0 Metrix have adopted a number of Web 2.0 features such as:
· Data Feeds mechanisms such as RSS/Atom feeds
· Podcasts and Videocasts
· Branch/ATM locator Mashups
In the forthcoming posts, I shall elaborate more on the results from the Insurance Web 2.0 Metrix as well as share the results from top adopters in this segment.
The adoption of Web 2.0 features and functionalities among Insurance service providers has so far been low when compared to Retail. The players who figure high on the Insurance Web 2.0 Metrix have adopted a number of Web 2.0 features such as:
· Data Feeds mechanisms such as RSS/Atom feeds
· Podcasts and Videocasts
· Branch/ATM locator Mashups
In the forthcoming posts, I shall elaborate more on the results from the Insurance Web 2.0 Metrix as well as share the results from top adopters in this segment.
Comments
Interesting article. I am curious to know more about Infosys web2.0 matrix.
Posted by: Ajay Chauhan | March 21, 2008 12:43 PM
More details on the Web 2.0 Metrix applied to Retail as well as Financial services are available as part of the earlier posts.
Posted by: Jai Ganesh | March 31, 2008 12:55 PM