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US 7,689,433 B2Granted
Active relationship management
AssigneeAccenture Global Services Limited
InventorsMei Chuah, Dana Le
Life of this patent
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AssigneeAccenture Global Services Limited
InventorsMei Chuah, Dana Le
Estimating the term…
Methods and apparatus for active relationship management. A computer implemented method for relationship management includes receiving a list of one or more enterprises. The method includes identifying one or more individuals associated with at least one of the enterprises. The method includes receiving information related to a topic of interest. The method includes parsing the received topic information into units of data. The method includes searching the units of data for one or more quotes. The method includes determining whether a found quote is related to any of the identified individuals. The method includes associating, if the found quote is determined to be related to one or more of the identified individuals, the quote found with the one or more individuals. The method includes storing the quote in a database.
A computer-implemented method comprising:
A system comprising:
A machine-readable storage device encoded with a computer program, the program comprising instructions that when executed by data processing apparatus cause the data processing apparatus to perform operations comprising:
Dependencies are inferred from the claim text.
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From the US filing history. Foreign family members aren’t listed.
Commerce: marketing; Price estimation or determination; Fundraising
Information and communication technology [ict] specially adapted for administrative, commercial, financial, managerial
About 1 year 9 months of term left · ends 2 Aug 2028 (estimated)
The present specification relates to data processing, for example, such as used in the context of relationship management.
Tools for relationship management can include one or more business applications that operate in conjunction with database systems and databases. In general, conventional relationship management tools track information about a company of interest and perform analyses that are based on perceivable trends in the information. Information about a company includes, by way of example, business transactions or operations effected by the company, financial information about the company, and performance evaluation of the company. Relationship management tools implementing this scheme can provide an organization-level perspective for companies of interest.
Relationship management tools have various business applications, including, for example, sales—the life blood of most companies. Company revenues are directly tied to establishing and maintaining strong relationships with their gold or most valuable customers. Gold customers buy more, buy more often, and are more loyal than the average customer. One relationship management tool typically used to establish and maintain strong relationship with customers is a customer relationship management (“CRM”) system. As with other conventional relationship management tools, a conventional CRM system focuses on organization-level information.
FIG. 1 is shows a system 100 for active relationship management.
FIG. 2 shows a method for building a database of quotes.
FIG. 3 shows an implementation of a system for active relationship management.
Like reference numbers and designations in the various drawings indicate like elements.
FIG. 1 shows a system 100 for active relationship management. As described below, the system 100 can build a database of quotes from persons of interest and, furthermore, process the quotes to obtain valuable information about these individuals and the companies that employ them. The system 100 includes a component 102 for processing information, a quote engine 104, a component 106 for storing data, and a component 108 for presenting information.
The system 100 can receive data, for example, from external sources such as a Web-based data aggregator that collects data and sends the collected data to the system 100. Alternatively, the data can be received from other sources. The received data can be structured or unstructured. Structured data is generally data that has an enforced composition to the atomic data types. Structured data is usually managed by technology that, for example, allows for querying and reporting against predetermined data types and understood relationships. Examples of structured data include an entry in a database table and electronic documents of RSS (Really Simple Syndication) news feed, the latter of which can include technical journals and business journals. Unstructured data is generally data stored in an unstructured format. With unstructured data, there is usually no conceptual definition and no data type definition. An example of unstructured data is information in a text document. Note that an electronic document does not necessarily correspond to a file. An electronic document may be stored in a portion of a file that holds other documents, in a single file dedicated to the document in question, or in multiple coordinated files. The system 100 can store the received data in the component 106.