It is expecting insurers to have: developed a data dictionary of sources and attributes used for estimating provisions; conducted the data quality assessment on this data; taken steps to remediate the identified issues and plans are in place for longer term solutions; and demonstrated ongoing data quality monitoring processes being in place.
Finding Hard Evidence Many of the exposure data quality assessment projects recently undertaken by insurers and reinsurers have had boardroom-level sponsorship.
As far as the simplification and homogeneity of data quality assessment is concerned, a criterion assessment grid is proposed, as presented in Table 1.
The Third Edition has been considerably expanded and revised to include: * A new chapter on data quality assessment * A new chapter on correlated data * An expanded chapter on data analysis covering categorical and ordinal data, continuous measurements, and time-to-event data, including sections on factorial and crossover designs * Revamped exercises with a stronger emphasis on solutions * An extended chapter on report preparation * New sections on factor analysis as well as Poisson and negative binomial regression Providing valuable, up-to-date information in the same user-friendly format as its predecessor, Common Errors in Statistics (and How to Avoid Them), Third Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.
The data quality assessment will act as an enabler to the remediation phase as it will identify the deficiencies in the data and therefore define where the remediation action is required.
The event includes customer and partner presentations based on real-world experiences, Pervasive's flagship Pervasive Data Integrator with new metadata management capabilities, and best practices covering SOA deployment, data quality assessment and SaaS integration.
Using the new master data management solution, PeopleForce has completed de-duplication and data quality assessment and cleanup on some nine million master company records accumulated by PIERS over 23 years.
Claraview's enhanced Education Analytics services include: * Design, Development and Implementation of Education Data Warehouse Solutions * Creation of Statewide Longitudinal Data Systems * Education Information Strategy & Architecture * Data Integration and Management * Data Quality Assessment * Education Analytics/Reporting * Program Management * Knowledge Transfer, Training, User Adoption & Enablement "State and local education agencies face a growing number of challenges when attempting to improve visibility into student progress," said Eric Driscoll.
