Chair’s Opening Remarks: Building bridges – aligning data analytics functions with actuarial practices for underwriting & pricing
Evolving the traditional means for underwriting and embracing a technological, data-driven approach for greater granularity. Examine how to position actuaries and data scientists to optimize underwriting activities. Opportunities for predictive and prescriptive analytics to better improve efficiency and effectiveness of underwriting operations.Speaking
Can reinsurance leverage the power of collaboration? Discussing the opportunities for carriers to equip themselves with insights from external conditions. Presenting the role of data analytics in fostering collaboration and communication without compromising confidentiality in order to bolster business outcomes. Discussing the potential impact of cross-business partnerships and talent inclusion on the bottom-line.Speaking
Hallmark of a 21st-century insurer: evidence & data driven decision making, customer orientation. Distilling AI & ML: making superior business decisions with AI & ML. Financial Impact: understanding core use cases and ROI.Speaking
How do you begin your journey of measuring value attributed to data and analytics? How do you secure quick wins and identify the low hanging fruit within an insurance ecosystem, generating immediate value and recognition for your efforts? Examining the intersection between business performance, customer satisfaction and effective analytics – is there a connection and… Read more.Speaking
Experiences in building a data science team from the ground-up and driving organizational understanding of the business benefits analytics can bring. Understand how to create a value-focused approach to develop advanced analytics capabilities in relevant business areas across an insurance enterprise. When, why and how? Developing the business case for an analytics center of excellence… Read more.Speaking
Exploring which key business areas have the most potential What areas of your business under utilizing data and have the most potential? Evaluating which data sources are needed to realize the potential of your data science capabilities? Measuring value attributed, and the estimated value to your business. With lifetime value in insurance being so high… Read more.Speaking
Discussion Group Session 1
Exploring how legacy architectures and processes can be overcome and combating company inertia to drive through technological and operational innovation. Debate the impact of traditional corporate structures and the potential disruption to delivering innovation. Discussing strategies used to overcome adoption challenges, how to avoid such obstacles as well as catalyzing the shift a shift in… Read more.
Define the steps needed to begin a robust customer data management strategy. Evaluate best practices in aligning your end-to-end customer information processes, from collection through to analysis. Contextualizing the right data sets to acquire to serve your business objectives. Establishing the right Data Governance procedures to ensure compliant, secure and ethical use of customer data…. Read more.
Discussion Group Session 2
Discussion Group 2B: Harnessing data-driven insights to streamline the customer experience in insurance
Data-enabled startups and tech companies are moving into the space, is Big Data the answer for insurance? Understanding the products that customers want and providing a seamless experience to improve retention. Focusing on customer satisfaction as a key indicator of loyalty and driving product development in this way.
Discussion Group 2A: Moving beyond traditional data reporting and maximizing value of new data sources
Assess how data analytics leaders can Identify areas of business value and evaluate the data challenges in doing so? Evaluating how you can leverage data to enhance your insurance ecosystem and maximize the value chain. Moving beyond reporting and traditional predictive models – How can you contextualize and unlock the value of new data source.
The journey from a strategic initiative to a core business function for Predictive Analytics in Zurich North America. What does it mean to be a “strategic initiative” vs a “core business function”? What were some key decisions and actions?Speaking
Panel Discussion: The importance of the ‘business translator’ – Leveraging data visualization to communicate insights
Understand the composition of skills needed in your team to effectively communicate value of data analytics exercises to the business, driving adoption in the process. Lack of action isn’t always a lack of technical skill but of communication. Ensuring that business and non-technical users have information in a way that it can be used. Empowering… Read more.Speaking