February 24, 2017, Irvine, Calif. -

-CLEAR Platform Provides Streamlined, Integrated Analysis on Lien, Equity, Property and Owner Status to Support Critical Decisions-

CoreLogic (NYSE: CLGX), a leading global property information, analytics and data-enabled solutions provider, today announced the availability of CLEAR, an integrated solution that enables whole loan traders, portfolio managers and servicers to fill critical information gaps by quickly accessing current data on lien position, equity, property characteristics and consumer credit. The platform also provides life-of-loan surveillance on designated assets and portfolios.

The CoreLogic Lien Equity Analytics Radar (CLEAR) platform enables whole loan traders to upload bid tapes and quickly receive the latest CoreLogic data and analytics to enhance their bidding and risk management decisions. In the pre-bid stage, traders can select from a wide range of decisioning analytics, including insights into key risk attributes in the portfolio, lien analysis (e.g. lien position, balance, foreclosure, ownership), equity analysis and involuntary lien analysis. Post-bid, additional data and analytics can be leveraged for in depth due diligence, final negotiations and settlement. Post-settlement, CLEAR provides ongoing surveillance of voluntary and involuntary liens, foreclosures and ownership.

CLEAR also has many applications across due diligence, portfolio management and servicing. This flexible platform provides transparency throughout the life cycle of the loan, delivering detailed and actionable insights that can be used in pricing a portfolio, performing due diligence on it, and determining treatment decisions during servicing.

In addition, CLEAR also offers users:

  • Customizable delivery packages that target particular client needs.
  • A self-service portal.
  • Individual loan analysis results and ordering capabilities.
  • Client-defined monitoring frequencies for each product tier.
  • Consumer credit tradeline integration for permissible use.
  • Auxiliary data integration from property abstracts.
  • Four different tiers of data analysis and pricing.
  • FTP-ready output.

'Historically, investors and servicers have encountered significant information gaps in bidding on whole loan portfolios and making strategic servicing decisions. CLEAR creates efficiencies, saving time and, ultimately, costs associated with accessing needed data and analytics in a timely, consumable fashion,' said Dillon Vestal, vice president, Advisory Services for CoreLogic. 'By combining comprehensive analysis with fast, flexible and customizable delivery options, our clients will get data for whole loan bid decisioning, default treatment, and early detection of portfolio risk.'

For more information about CLEAR, please contact Catherine Castle at ccastle@corelogic.com.

About CoreLogic

CoreLogic (NYSE: CLGX) is a leading global property information, analytics and data-enabled solutions provider. The company's combined data from public, contributory and proprietary sources includes over 4.5 billion records spanning more than 50 years, providing detailed coverage of property, mortgages and other encumbrances, consumer credit, tenancy, location, hazard risk and related performance information. The markets CoreLogic serves iat nclude real estate and mortgage finance, insurance, capital markets, and the public sector. CoreLogic delivers value to clients through unique data, analytics, workflow technology, advisory and managed services. Clients rely on CoreLogic to help identify and manage growth opportunities, improve performance and mitigate risk. Headquartered in Irvine, Calif., CoreLogic operates in North America, Western Europe and Asia Pacific. For more information, please visit www.corelogic.com.

CORELOGIC and the CoreLogic logo are trademarks of CoreLogic, Inc. and/or its subsidiaries. All other trademarks are the property of their respective owners

CoreLogic Inc. published this content on 24 February 2017 and is solely responsible for the information contained herein.
Distributed by Public, unedited and unaltered, on 24 February 2017 13:13:17 UTC.

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