January 17, 2017 by Leave a Comment
In October 2015, I explained that insurers had to hire more data experts if they wanted to better leverage all sorts of data sources they can access nowadays. As I raised this point, I shared the result of a survey we launched in 2015 to identify whether insurance companies were hiring new types of profiles to complement their teams looking at data. For more on this, read the following post: Why the insurance industry needs more data scientists. In March last year, I explained that insurers attempt to hire more data expert had become a clear trend: Insurers are investing in data scientists. With the growing importance of data in insurance and taking into consideration all the activities currently happening around data notably supported by InsurTech companies, we identify that not only insurers are hiring highly qualified data experts but also that these people are getting more and more influential within their organization. Indeed when asked about the level of influence on key business decisions these experts (internal or external consultants) have in their organization it seems that data scientists are gaining more power (in % of insurance respondents; n=135): Actually, two categories of experts are gaining influence in insurance: data scientists and user experience specialists. We are not surprised by this result. Insurers deal with a greater amount of data and more sophisticated technologies, therefore they need to hire highly educated experts in order to valuably leverage this data and these technologies. In addition, insurers consider customer interaction to be a key element of their digitization efforts and this is the reason why they are giving more responsibilities to user experience specialists. We will soon publish a report detailing the result of an insurance survey on the use of consumer data and smart technologies. I recommend you take some time to read our report to better understand what insurers are doing around this topic.
October 23, 2015 by 2 Comments
Celent will soon be publishing an update to our 2013 report Perceptions and Misconceptions of Big Data in Insurance. In this report we looked at various elements in relation to the role and perception of data in insurance to understand where the industry was in terms of adoption of data-related technologies and more particularly Big Data. To do so we used what we call our Big Data Maturity Model. This model uses seven dimensions to categorize the industry in terms of their maturity level when it comes to adopting Big Data: We came across an interesting article recently in the Insurance Journal that said insurers needed to hire more Big Data professionals. While we agree with this statement, we have already noticed in the early results of our 2015 survey (still in progress) that insurers have now more data scientist experts as shown in the following figure: Technology is not enough and insurers have understood that if they want to make the most of data-related technologies they need to hire highly skilled people with solid knowledge of machine learning, statistics and predictive analytics. This is an interesting early finding and we look forward to provide our members with more on our seven model dimensions soon. Stay tuned!