Insurance consumer information data lake

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The Canadian insurance company La Capitale Assurances Générales has collected over time several massivedatasets about their customers, insurance plans, and various insured items. They are now looking for ways ofefficiently combining these datasets together, enrich it with online data, and inferring new knowledge aboutcustomers from it, with the long-term goal of mining this data to learn more information about their customers'habits and lifestyles, in order to customize their insurance coverage to each individual customer's needs. In theoriginal Engage grant, we designed learning algorithms to discover this knowledge from their data, andimplemented a simple database to centralize the information into one source. In this follow-up Engage Plusgrant, we will explore more advanced methods focusing on resolving the issue of the imbalanced class data intheir dataset, an issue that was discovered during the work on the Engage grant, and we will improve thedatabase system. The insurance industry is a multi-billion dollar industry, and the data management tools andknowledge discovery algorithms we will develop for La Capitale Assurances Générales will give Canadiancompanies an important edge in this competitive international marketplace.