Salesforce Com, Inc.

Salesforce, Inc.

David Hacker

David J Woodward

Christopher James Bill

Sarah Flamion

Jamin Hall

Kaustubh Barde

Lydia Lodovisi

Jason Moody

Matt Lagrotte

Steven Ness

Abhinav Chadda

David Angulo

Mehmet Gokmen Orun

Charles Fineman

Leo Duy Tran

Steven Kostrzewski

Federico Recio

Matthew James Mondok

Daniel Marchant

William Charles Eidson

Parth Vijay Vaishnav

Danil Dvinov

Chenghung Ker

Michael Goldberg Boilen

Yu Chen

Arun Kumar Jagota

Susan S Levine

Hui Fung Herman Kwong

Shakti Prakash Das

Wolfgang Krause

David James Woodward

Christopher Bill

Methods, systems, and computer program products for a customer relationship management (CRM) system are provided herein. Embodiments presented herein provide for exchange of data between disparate, distributed systems; subscribe to and/or publish customer data change event; creation of master records for consumers using static and streaming sources; providing data provenance, auditing capabilities, and queries across multiple tenants and third party systems. Embodiments provide a single view of a customer in a distributed system environment.

Integrated entity view across distributed systems

Disclosed herein are method, system and device embodiments for setting up a graphical user interface (GUI) for a commerce architecture. An embodiment operates by providing a GUI that displays a first button for adding a first data source and a second button for adding a second data source, the second data source being related to the first data source, receiving a first response via the first button to add the first data source and a second response via the second button to add the second data source, providing a view of a first data schema and a second data schema, wherein the first data schema includes at least one object from the first or the second data source, and wherein the second data schema is a canonical data model, mapping the at least one object of the first data schema to at least one object of the second data schema, and providing a single entity view of the at least one object of the second data schema.

User interface for commerce architecture

A method and apparatus for tokenization of user-traceable data are described. User traceable data is data that is not directly personal data but can be traced back to the identity or an activity of the user. A first raw value is encrypted into a first token using a symmetric key encryption mechanism based on a combination of a second raw value including personal data of a user and a second token resulting from the tokenization of the second raw value where the first token is an anonymized representation of the first raw value.

Method and apparatus for linked encryption tokenization of user traceable data

A first raw value of a first field from the first set of fields is encrypted to generate a first token using a symmetric key encryption mechanism based on a first cryptographic key associated with a first time window after which the first cryptographic key is no longer valid for tokenization of raw fields of raw log records. After the first time window has elapsed, a second raw value of a second field from the second set of fields is encrypted to generate a second token using the symmetric key encryption mechanism based on a second cryptographic key that is different from the first cryptographic key. The second cryptographic key is associated with a third time window that occurs after the first time window and after which the second cryptographic key is no longer valid for tokenization of raw fields of raw log records.

Method and system for time window encryption tokenization of data

A method and a system for enabling multiple log record consumers to comply with regulations and requirements regarding privacy and handling of data are described. A determination, based on a log record format being of a first of the log record types, that a first field from a raw log record is to be tokenized based on a first tokenization strategy of multiple tokenization strategies in the first log record type, is performed. Each one of the tokenization strategies identifies a tokenization mechanism from tokenization mechanisms for generating a token from a raw value to enable compliance with a set of regulations and requirements regarding privacy and the handling of data. For a first raw value in the first field a first token is generated that is an anonymized representation of the first raw value using a tokenization mechanism identified by the first tokenization strategy in the log record type.

Method and system for enabling log record consumers to comply with regulations and requirements regarding privacy and the handling of personal data

Some embodiments of the present invention include a method for identifying match candidates in a database object and may include generating, by a database system, a match key associated with a lookup field of a database object. The method may further include activating, by the database system, a matching rule associated with the match key, and receiving, by the database system, a request to search for duplicate candidates in the database object. The request may include an input entity. The duplicate candidates in the database object may be identified by using the input entity and the matching rule.

Matching objects using match rules and lookup key

Matching objects using keys based on match rules is described. A system generates a match rule key based on a match rule, wherein the match rule specifies whether two objects match. The system creates candidate keys by applying the match rule key to data objects. The system creates a probe key by applying the match rule key to a probe object. The system determines whether the probe key matches a candidate key. The system determines whether the probe object matches a candidate object based on applying the match rule to the probe object and the candidate object if the probe key matches the candidate key corresponding to the candidate object. The system identifies the probe object and the candidate object as matching based on the match rule if the probe object matches the candidate object.

Matching objects using keys based on match rules

Growing community of inventors

Moraga, CA, United States of America

David Hacker