Abstract:
Disclosed herein are systems, methods, and computer-readable media for enterprise information technology (IT) monitoring. In an embodiment, a method includes collecting system performance data for an enterprise computing environment. The method includes generating at least one cross-stack monitor schema. The cross-stack monitor schema includes at least one of shared services performance data, middleware performance data and infrastructure performance data corresponding to a particular application. The cross-stack monitor schema includes a technology stack component descriptor and a performance parameter. The technology stack component descriptor is identified based on applying reference data to the system performance data. The performance parameter is generated and populated based on the system performance data. The cross-stack monitor schema is linked to an electronic dashboard.
Abstract:
Computer systems are used to facilitate the sale of mortgages into the secondary market. For example, the computer systems are used to facilitate the administration of loan delivery and other business rules across multiple customer-facing applications. The computer systems provide a shared service for customer-facing applications to integrate with a centralized business rules engine. The computer systems enable the integrated applications to request specific groups or categories of business rules to be executed by the centralized business rules engine. The computer systems request execution of stored business rules based on a loan, format the results, and provide feedback to the calling applications based on the results.
Abstract:
Ranking and displaying comparable properties entails receiving appraisal information comprising a subject property and appraiser-chosen comparable properties corresponding to the subject property. Property data corresponding to a geographical area is accessed, in support of determining model-chosen comparable properties based upon the appropriateness of each of the comparable properties as comparables for the subject property. A map image is displayed for the geographical area, along with indicators on the map image indicative of the subject property, at least one of the appraiser-chosen comparable properties, and at least one of the model-chosen comparable properties.
Abstract:
A system and method may aggregate into a data structure property information from multiple databases, e.g., from all records included in those databases, and upon selection of any subject property or a characteristic thereof curates the often imperfect and discrepant property information to create suggested values. Similarly, the system and method may perform an on-the-fly evaluation of any characteristic of a selected record, when the property information for that characteristic includes an unlikely value, by triggering from the data structure a dynamic extraction of property information corresponding to a subject property of the selected record, where the dynamic extraction further generates and compares a suggested value to the unlikely value.
Abstract:
A comparable property selection system and method employs dynamic gating in the selection of comparable properties. When the most restrictive comparable selection algorithm fails to identify enough comparable sales to use as inputs to the downstream analytics processes, the system does not simply expand the pool or solely expand the corresponding geographical area. Instead, the system automatically loosens and tightens property search filters iteratively to expand and shrink the size of a local geographic and economic market to locate comparables that have property characteristics that most closely reflect the real estate market considerations a buyer, or an appraiser acting as a buyer, would evaluate in a heterogeneous market.
Abstract:
A device including a memory with an automated collateral fraud and risk detection application installed thereon, wherein the application determines whether a final appraised value of an appraisal was correctly reconciled from comparable properties listed on the appraisal by extracting reconciliation information from the appraisal, the reconciliation information including adjusted sale prices for each comparable property listed on the appraisal and the final appraised value; applying a rule set to the reconciliation information to generate sub-scores; applying a heuristic to the sub-scores to generate a reconciliation score; and outputting a scorecard for the appraisal based on the reconciliation score.
Abstract:
A data processing system for analyzing and reporting payoff quotes for mortgage loans is provided. The system provides several user interfaces: e.g., an interface through which lenders may enter lender payment information, an interface through which an analyst may enter payment quotes, and an interface through which lenders and/or analysts may compare the other prepayment information with prepayment payment quotes provided by the system. Any of the interfaces may be supported via a network. A database of all payoff quotes, lender payment information and any lender decisions regarding the same is maintained by the system for future reference.
Abstract:
Market based data cleaning for mitigation of idiosyncratic errors in transaction data used for property valuation. The market based data cleaning technique helps to ensure that the most accurate record is retained for a transaction when duplicate records are found, by ensuring that the retained record is the most consistent with other transactions of the same property, the local market trend, and neighborhood market. Algorithms accommodate the adoption of a value as a representative single record for a transaction where multiple records are present for a transaction. Following duplicate removal, market based data cleaning further eliminates erroneous records by eliminating transaction outliers, also preferably based upon the local market trend, along with all of the remaining transactions for each given property.
Abstract:
Automatically assigning confidence ratings to properties valued by an automated valuation model. A value confidence model determines a set of typical property characteristics for properties in a geographic area, automatically determines a deviation from the set of typical property characteristics for a candidate comparable property, and assigns a confidence factor to an automated valuation of the candidate comparable property based upon the deviation.
Abstract:
A method and machine-readable media are provided for estimating property values. An exemplary method includes obtaining a first estimate of a property from a first property valuation database, the first estimate exhibiting price tier effect bias. The method further includes deriving a price tier effect adjustment factor based on a price tier associated with the property and purchase transaction data. The method further includes adjusting the first estimate to reduce the price tier effect bias using price tier effect adjustment factor, thereby providing a second estimate having reduced price tier effect bias.