Name | Description | |
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![]() | Abort | (Inherited from System.ServiceModel.ClientBase<IDataQualityAnalysisService>) |
![]() | Close | (Inherited from System.ServiceModel.ClientBase<IDataQualityAnalysisService>) |
![]() | DisplayInitializationUI | (Inherited from System.ServiceModel.ClientBase<IDataQualityAnalysisService>) |
![]() | GetDataQualityAnalyses | Retrieves all Touchstone® Data Quality Analyses for a given Project within a specific Business Unit and SQL Server Instance.
The Data Quality Analysis API stores each Data Quality Analysis as a Data Quality Analysis object, and you can use the |
![]() | GetDataQualityAnalysisAugmentationSummary | Retrieves a Touchstone® Data Quality Analysis Augmentation Summary that contains the category of data that Touchstone augmented, the number of Locations that Touchstone augmented, and the percent of Locations with data that Touchstone augmented.
Augmentation means adding information about individual properties in your portfolio where data is missing or when confidence in the existing data is low. You can augment building location, property value, and primary and secondary risk characteristics. Primary risk characteristics include building construction, occupancy, year built, height, and gross area. Secondary risk characteristics include roof geometry, roof cover, siding, and foundation type. |
![]() | GetDataQualityAnalysisIndustryComparisonSummary | Retrieves a Touchstone® Data Quality Analysis Industry Comparison Summary that contains the average replacement value (ARV), summary client data, and summary industry data.
An Industry Comparison Summary enables you to benchmark your exposure data against industry data contained in AIR's Industry Exposure Database. This database contains aggregate property information about risk counts, property attributes, and replacement values. |
![]() | GetDataQualityAnalysisRatingCompanySummary | Retrieves a Touchstone® Data Quality Analysis Rating Company Summary that contains both the 25(i), Percentage of Data Containing Known Attributes, and 25(k), Most Frequently Observed Values, results to respond to questions 25(i) and 25(k) of the A.M. Best Property/Casualty Supplemental Ratings Questionnaire (SRQ). |
![]() | GetDataQualityAnalysisReportFilePath | Retrieves the path to the PDF file that Touchstone® has generated to contain a Data Quality Analysis summary report for a specific category of results from a Data Quality Analysis. |
![]() | GetDataQualityAnalysisScoringResultSummary | Retrieves a Touchstone® Data Quality Analysis Scoring Results Summary that contains a summary of Data Quality Scoring results, organized by Data Quality Category.
The Score Data diagnostic calculates a Data Quality Score and an Overall Risk Score for individual Locations and for entire portfolios. The scores help you identify high-value exposures that warrant further investigation and augmentation (enhancement). The scores are peril-specific. The impact that missing exposure data has on modeled losses depends on the Location and characteristics of the risk and the peril under consideration. For example, missing construction characteristics have a greater impact on modeled losses in areas in which there is a lot of heterogeneity in the types of construction used and when the scoring methodology is considering a peril for which construction is a key variable. The Data Quality Score measures the completeness of the exposure data. It quantifies inaccurate and missing primary risk characteristics in the exposure data that can contribute to uncertainty in modeled losses. Ranging from 0-100, a higher data quality score indicates better relative data quality, which can lead to reduced uncertainty. Touchstone calculates data quality scores for each Location in the analysis target and then combines them to produce various aggregate scores, such as for the entire portfolio and for each state. Portfolio-level Data Quality Scores are particularly valuable because they can help you to accomplish the following tasks:
When calculating Data Quality Scores for individual locations, Touchstone considers the availability of known data for the following primary risk characteristics:
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![]() | GetDataQualityAnalysisValidationResultSummary | Retrieves a Touchstone® Data Quality Analysis Validation Result Summary that contains information about construction, occupancy, height, age, Location count, failed Location count, primary risk characteristics, secondary risk characteristics, limits, and deductibles.
The Data Validation analysis enables you to assess the quality of your exposure data by evaluating your portfolio against a set of completeness rules and reasonability rules. Completeness rules enable you to learn about where information is missing in your exposure data. Reasonability rules help you to determine if the exposure data contains combinations of attributes that typically are not found together. For example, it is not reasonable for a wood frame building to be 10 stories high. It is not reasonable for a reinforced masonry building to have been built prior to 1950. It is not reasonable for a residential family home to be built of light metal. |
![]() | Open | (Inherited from System.ServiceModel.ClientBase<IDataQualityAnalysisService>) |
![]() | SubmitDataQualityAnalysis | Submits a new Touchstone® Data Quality Analysis job.
The Touchstone Data Quality API enables you to integrate Data Quality Analysis results and reports within your applications and workflows. These reports include scoring, validation, benchmarking, and augmentation of your exposure data. You execute all analysis jobs against an Exposure View, and Touchstone stores the results in a Touchstone result Data Source (Database). To create a new result Data Source, use the SubmitCreateDatabase() method. |
![]() | SubmitDataQualityAnalysisReport | Submits a request for a Touchstone® Data Quality Analysis summary report PDF for a specific category of results from a Data Quality Analysis.
The Touchstone Data Quality Analysis API can generate a PDF file that contains a summary of the results of any of the following types of Data Quality Analyses:
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