Description

Bad data makes it extremely difficult for insurance accountants, actuaries and financial executives to accurately assess risk. Many insurers have data inconsistencies within various systems and with the influx of inefficient data consumption from various partners, the data integrity issue is becoming unmanageable. Clean data is needed to precisely assess risks, correct statistical, bordereaux reporting and financial accuracy. As insurers expand their distribution channels and ecosystems, clean data is critical. It is time for insurers to automate the ingestion, manipulation, and cleansing of complex data to deliver financial information faster and more precisely to assess risks, correct statistical and bordereaux reporting and claims accuracy. Register and plan to hear from industry experts as they discuss new innovation tools and best practices available for financial data management.

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Exporter Choices

1. Learning Objective 1:
Recognize the necessity for clean, accurate data in accessing risk.

2. Learning Objective 2:
Identify the tools used to clean and accurize data for effective use.

3. Learning Objective 3:
Recognizing the benefits of improved data processes and practices on the bottom line.

4. Target Audience:
Accounting/Finance

6. Prerequisites *:
None

Please select your session type::
Problem Solving - speakers pose a problem and lead attendees through exercises to develop solutions