Description

Insurance companies hold large volumes of customer data across the insurance value chain, however the systems that contain this data are usually slow and outdated. Insurers need to expand their offerings with agile data platforms that can help drive better business insights.

A primary challenge in building a data asset is being able to ingest the data required in a timely and cost effective manner.

With new and evolving requirements for organisations around data privacy, the protection of personally identifiable information drives the need for robust processes to handle data and ensure that appropriate measures are applied consistently, especially when additional data sources are added. However, taking a brute force approach to bringing data into an asset may lead to ballooning costs and could lead to ongoing development issues that will be difficult to rectify.

Speakers