Data Quality is Key Element to IBC’s Accurate Information Products
Insurance Bureau of Canada (IBC) collects, validates and analyzes insurance-related data creating Canada’s largest database of commercial and personal lines insurance information. This information is used by IBC, insurance companies and the property and casualty industry to address industry issues, produce statistical products and services and provide general information to the public. It is also used by provincial insurance regulators in approving rate increases. Quality data is an essential element to ensuring the effectiveness of IBC’s information products. IBC has developed many sophisticated processes and applications to ensure the analyzed data meets the required quality standards. This session will discuss some of the systems and tools created by IBC as well as the processes undertaken by IBC and with the insurance industry to ensure high quality collected information.
Anita Mueller is Manager of Data Collection and Quality at Insurance Bureau of Canada (IBC), the national trade association of the private property and casualty insurance industry. She has been with IBC since 1999.
Anita’s department works with over 200 insurance companies and collects about 150 million insurance policy transactions each year. Her focus is on streamlining the data collection process and improving the quality of industry data. Anita and her team have developed a number of tools to help companies monitor and improve the quality of their data.
Anita’s work experience spans various areas of the property and casualty insurance industry. Aside from her current role with IBC, she has also worked at both the head office of a private insurance company and at a brokerage dealing with large commercial clients. Her 8 years of insurance industry experience include management positions, business and data analyst roles. Anita has her Chartered Insurance Professional designation from the Insurance Institute of Canada and holds a BBA degree from Wilfrid Laurier University.
- Anita Mueller, Importance of Data Quality