U S West Technologies, Inc.

Oracle International Corporation

Datalogix Holdings, Inc.

Datalogix, Inc.

Robert John Cuthbertson

David Michael Mitchell

Roger Siggs

Kevin Scott DiMichel

Jeremy Ryszard Plichta

Andrew V Baird

Jianhua Zhu

Rodolphe J Nassif

Srdjan N Kovacevic

Patrick Pfeffer

Timothy P Mccandless

Hans Brunner

Randall B Sparks

Jacques Durand

Lorraine M Vienneau

Karen A Siegel-Jacobs

Gail L Clarke

Steven M Fogel

A method includes receiving a plurality of data sets. Each data set includes a customer identifier field specifying a unique customer identifier associated with each entry in each data set. The plurality of data sets includes a first group of data sets and a second group of data sets. The method further includes storing the plurality of data sets, and generating a key map including the customer identifier field including unique customer identifiers of the first group of data sets of the plurality of data sets, and an anonymous identifier field including unique anonymous identifiers. Each anonymous identifier corresponds to a customer identifier of the key map. The method further includes replacing each unique customer identifier in the second group of data sets with the corresponding anonymous identifier.

Apparatus and method for data matching and anonymization

Techniques for enforcing data security in a cleanroom data processing environment are described herein. In one or more embodiments, a virtual private cloud environment stores a first set of data provided by a first user account and a second set of data provided by a second user account, where the first user account is associated with a first set of one or more security credentials and the second user account is associated with a second set of security credentials and where the first user account is prevented from accessing at least the second set of data and the second user account is prevented from accessing at least the first set of data. In response to receiving, from the first user account or the second user account, a request to destroy the virtual private cloud environment, at least the first set of data and the second set of data are deleted.

Enforcing data security in a cleanroom data processing environment

Techniques for providing a virtual cleanroom data processing environment are described herein. In one or more embodiments, a virtual private cloud environment is configured to prevent data from being sent to network locations external to the virtual private cloud environment. One or more computing resources deployed within the virtual private cloud environment receives, from a first source external to the virtual private cloud environment, a first set of data that is associated with a first user account. A set of one or more software components, received from a second source, are also deployed within the virtual private cloud environment. Once deployed, the set of software components generates, based at least in part on the first set of data, a set of output data. The first set of data is continuously prevented from being sent to network locations external to the virtual private cloud environment.

Establishing a cleanroom data processing environment

A service for screening outgoing telephone calls. The service allows a subscriber to determine the times of day and/or days of the week when she wants her outgoing calls on her telephone line to be restricted to numbers which have been approved by her. Calls to numbers other than those on the authorized list will not be completed. Incoming calls are also restricted and a privileged caller code must be entered for the outside caller to complete the call to the subscriber.

Method and apparatus for controlling outgoing calls on a telephone line

A method and system for matching textual strings representing customer names/addresses is disclosed. The textual strings are first transformed by a plurality of predefined filters. The transformed textual strings are then compared utilizing a plurality of predefined comparators to determine if the two transformed textual strings match. A score is determined based on the comparison of the two transformed textual strings utilizing a scoring procedure. Based on the score and a matching procedure, it is determined whether or not the textual strings match.

Method and system for matching names and addresses

A method and system for generating a user interface in a database management system. A semantic data model is used to describe a database in terms of data types stored in the database and functional types that describe relationships between the data types stored in the database. The system dynamically queries the data model to generate a graph of the data model itself. These queries are initiated by the system without user intervention. The user selects a node on the graph that causes the data model to be searched again to determine the name of the node selected, one or more types of relationships associated with the node selected and one or more instances of the relationships associated with the node selected. This information is used to generate a form containing a plurality of blanks. A user enters a query constraint into one or more of the blanks and the database is searched for instances of data meeting the query constraints. The data model is easily adaptable to reflect changes in the architecture of the database. The user interface reflects those changes without the need to recode or recompile the software that generates the user interface. Also because the data model is semantically the same throughout, the same functions can query the data model itself as well as the data represented by the data model.

Method and system for generating a user interface adaptable to various

A method and system are disclosed for formatting address strings into a recognizable sequence of token types for database processing. The system includes a token rule processor and a token sequence processor. The method begins with the step of assigning token types to components of an address string to form a sequence of token types. The method next includes the step of determining whether or not the sequence of token types is contained in an adjustable predetermined rule table. The method further includes the step of processing the sequence of token types into a recognizable sequence format if the sequence of token types is contained in the rule table. Finally, the method concludes with the step of processing the sequence of token types into a recognizable sequence format in accordance with a predetermined interpretation procedure if the sequence of token types is not contained in the rule table.

Method and system for formatting address strings into recognizable token

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Lafayette, CO, United States of America

Robert John Cuthbertson