Our Poland survey found that 79% of respondents would consider sharing additional personal data to obtain benefits including cheaper premiums and more personalized services. Transforming data strategies to leverage opportunities and build a 360-degree view of customers will be essential for insurers as they grow sales by engaging customers with data-led initiatives and offerings.
“In the highly competitive Polish insurance market, some insurance companies are well-advanced on a digitalization journey that includes the automation of claims processes and plans to move to the cloud, while others are just starting out. The potential for data-oriented investments to transform distribution strategies and customer relationships could prove the most important aspect of this ongoing revolution. Hyper-personalization offers insurers a unique opportunity to compete not only on price but on the ability to engage customers, understand their priorities and satisfy those needs on the customer’s own terms and via their preferred channels. To leverage this opportunity, insurers need to make customer- and event-centric data architectures a priority within data strategies that can service a range of emerging use cases. The way companies understand and use their data – and enable stakeholders by providing them with easy, well-governed access to data and credible information in appealing visual formats – is emerging as a primary source of competitive advantage. Improved data management will also prove critical as insurance companies implement AI-driven solutions, a worldwide trend that is expected to intensify over time.”
Szymon Szmejter, Poland Insurance Lead
METHODOLOGY
Interviews were conducted in Belgium, Brazil, Canada, Greater Bay Area (ex Hong Kong), Germany, Hong Kong, Italy, Malaysia, Poland, Singapore, Switzerland, Thailand, USA and the UK during February and March 2023. Respondents were aged between 18 and 65 years. This was a quantitative study conducted using diverse sampling methodology (social & ad networks). Country representative quotas (location, age and gender) were applied.