preview

Insurance Industry; Data and Databases

Better Essays

Insurance Industry; Data and Databases The focus of this case study is on selected topics regarding how islands of independent processing are cooperating to ensure that different copies of important data are synchronized in the insurance industry. In particular, it discusses: 1. Processes to identify and resolve inconsistencies in the management of production data. 2. Procedures involved in the backups of live databases to avoid writing out inconsistent records. 3. Security policies and procedures related to the ability to download production data to workstations. All opinions in this case study are those of the author based on his experience in the insurance industry, except as otherwise noted. Processes to Identify and Resolve Inconsistencies in the Management of Production Data Auditing methods to identify and resolve inconsistencies in the management of production data are necessary for today’s industry. Companies require reliable, accurate and timely information; which is essential to the operational and transactional processes of the company. Some companies have invested time and money on processes and systems in collecting and analyzing data. One of the processes of verifying the reliability and effectiveness of data is using data quality assurance (DQA). This process offers the opportunity to analyze the content and structure of the data to determine inconsistencies, anomalies, and redundancies. Each company should have a data quality assurance program that

Get Access