Trillium Software, a provider of industry-specific data qualitysolutions, announces the availability of its new Claims DataQuality solution for property & casualty insurance claimsprofessionals. This offering leverages Trillium's data quality andinsurance claims expertise to help insurers automate theassessment, monitoring, and analysis of structured data, as well asunstructured data elements with free-form text such as adjusternotes.

By managing the quality of claims data and automating dataquality processes, insurance companies will more accuratelyforecast loss reserves, manage allocated expenses, and identifymissed opportunities for time-sensitive recoverables includingsubrogation and catastrophe coding. Insurance firms can reduceoverarching expenses, maximize recovery, improve overall claimsoperations efficiency and identify opportunities to grow theirbusiness.

"The quality of insurance data related to improperly reservedclaims, misclassified expenses or loss reserves deeply impactsbusiness results and decision-making at insurance companies—andkeeps claims professionals up at night—especially in light ofregulatory and competitive market pressures," says StephenApplebaum, senior analyst for property & casualty insurance atAite Group. "By utilizing asolution such as Claims Data Quality, claims professionals cancreate more visibility into their data in order to more effectivelyaccomplish insurance operations processes that could potentiallymaximize recovery, improve operational efficiency and increasecustomer satisfaction. Moreover, the higher the quality of dataused to drive the many business analytics programs being adopted,the more valuable will be their output."

Claims Data Quality is a combined software and consultingsolution, powered by the Trillium Software System, a data qualitysoftware platform. Insurance companies engage with TrilliumSoftware consultants using a data quality methodology to assess andquantify data defects in an automated fashion; deploy and applyinsurance-centric business logic to measure impact; and manage andestablish business processes in order to automate data defectanalysis and visualization.

Trillium also can create the business logic and measurementprocesses to correct data and monitor progress towards definedobjectives, and implement ongoing data quality processes to preventfuture data problems.

Clients receive a data assessment that reviewsall current claims data across repositories, systems, and processesto identify areas that need improvement. This includes anexamination of structured data contained in fields and unstructureddata from claims adjuster notes and other sources. Resultinganalysis, reporting and data assessment information can bedelivered in any requested user interface or format—from businessintelligence dashboards and scorecards to spreadsheets andfiles.

"Insurance claims professionals are making decisions based onpoor quality data, which can lead to adverse department performancedue to incorrect assumptions on loss reserves, catastrophemanagement, subrogation maximization and litigation controls," saysMichael Chochrek, insurance solutions principal consultant,Harte-Hanks Trillium Software. "Our answer to these data qualitychallenges is based on deep insurance claims subject matterexpertise, world-class data quality assessment capabilities and aproven data quality methodology to help claims professionalsunderstand and solve their data issues."

The solution helps address a number of uniquely-claims-baseddata problems such as:

• Loss Reserves: proactive, automatedidentification of potentially inaccurate loss reserves in order toadjust reserves in a timely and accurate manner to match the trueclaims exposure and mitigate costly manual remediationprocesses;
• Allocated Expenses: automating identificationand matching of case files to specific claims activities tominimize expenditures while maximizing value,
• Subrogation and CAT Recovery: automatedidentification and remediation of claims for subrogation and CATcoding to optimize claims recovery amounts and processes.