Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2000-05-08
2002-08-20
Von Buhr, Maria N. (Department: 2125)
Data processing: database and file management or data structures
Database design
Data structure types
Reexamination Certificate
active
06438547
ABSTRACT:
FIELD OF THE INVENTION
The present invention relates to computerized sales systems. More particularly, the present invention relates to computer systems and methods for managing knowledge related to sales.
BACKGROUND OF THE INVENTION
In recent years, corporations have made increasing use of computer systems to manage information related to products. For example, corporations that manufacture and sell products use a variety of types of data to manufacture, market, and sell their products. Some types of data used in connection with these processes include, e.g., graphics, technical specifications, pricing information, marketing brochures, financing plans, blueprints, technical schematics, compatibility rules, option lists, competitive information, and sales programs. This product information can be stored, for example, using a computer-accessible database and retrieved using a search engine. The capabilities of modern computer systems have enabled corporations to store vast amounts of product information in a system.
Typically, product information is generated and used by a variety of departments of divisions within a corporation rather than by a single entity. This decentralization of data management has created a number of challenges. For example, different departments within a corporation sometimes create redundant or nearly redundant data, resulting in unnecessary use of data storage resources. In addition, the use of redundant data by different departments typically involves global updating of the data when, for example, product specifications change. Failure to update all instances of a particular item of information can have adverse consequences, such as inconsistencies in the information used by the departments. For example, an engineering department might use the most current version of an information item, while a marketing department, unaware of changes in technical specifications, might use an outdated version of the same item.
As the size and complexity of a computer database increase, product information becomes more vulnerable to such inconsistencies. Inconsistency of data can result from a number of other sources. For example, a particular product description can be spelled out verbatim by one department, but abbreviated by another. This inconsistency in documentation between departments can cause the corporate identity of this information to be lost or confused.
The distributed nature of many corporate databases has resulted in a number of additional difficulties. For example, it is often difficult to manage relationships between data items used by different departments. As a result, many corporate database fail to take full advantage of available computing resources to manage product information effectively. This inefficient use of computing resources leads to increased data maintenance costs in many cases.
In order to address the problems associated with distributed corporate databases, some techniques, known as data warehousing, integrate enterprise information into a centralized database known as data warehouse. In data warehousing techniques, information from one source or asset can be reused for multiple purposes of applications. The data warehouse can store a variety of types of information, including, for example, alphanumeric data such as pricing, descriptions, specifications, marketing content, competitive data, performance values, finance factors, and weights. In addition, the data warehouse can also store business rules, e.g., processes, administration directions, workflow guides, and factors, as well as media information, such as product graphics, computer-aided design (CAD) designs, and video and audio files. Documents, such as bulletins, letters, manuals, proposals, and spreadsheets can also be stored in the data warehouse. It should be understood that the data warehouse can store data and information of different types from those described above.
Exporting processes are typically used to define and control the manner in which information is reused. Conventional processes of this type typically involve specifying the types of information that are desired for a particular purpose or application through the structure of the data warehouse. The information of the specific types is then extracted and provided to a client. Exporting processes typically do not allow the user to define the purposes for which an individual instance of information can be used or to specify applications to which the instance of information is available. For example, of a data type defined as Price, two instances can be defined as Retail and Cost and can be used to support two different systems. In one system, designed for customers, it might be desirable to grant access to the Retail instance only. By contrast, in the other system, designed for salespersons, access should be granted to both the Retail and Cost instances. Many traditional exporting processes fail to provide sufficient flexibility to define differential access rights to these instances.
Some data management tools provide structures for distributed users to enter information into corporate databases. Many such tools, however, only support a small variety of structures and are inadequately adapted to handle varying data models. In addition, while data management tools allow users to define relationships between information, many tools of this type fail to adequately use these relationships within themselves. Consequently, many users find it difficult to organize or view their information based on these relationships. In addition, many data management tools provide system administrators with relatively few options for defining users' access rights to information. For example, some such tools only allow system administrators to define access rights to broad categories of information. The lack of flexibility of many of these tools limits the usefulness of such tools in many applications environments. The usefulness of many data management tools is often also limited by the complicated user interfaces, such as scripts, involved in defining data relationships. Using such complicated interfaces increases the technical skill required to work with databases in many cases.
SUMMARY OF THE INVENTION
According to one embodiment, of the present invention is directed to a computer system for managing product knowledge related to products offered for sale by a selling entity. The computer system includes a memory arrangement. At least one processing unit is coupled to the memory arrangement. The computer system also includes means for defining a data model that describes relationships between data categories. A data instance can be input that corresponds to one or more of the data categories. The data instance represents at least part of the product knowledge. The computer system also includes means for creating a user-defined relationship item for the data instance and means for presenting the product knowledge to a user of the system in a manner established by the data model and the user-defined relationship. The product knowledge that is presented includes information corresponding to the data instance.
According to another embodiment of the present invention, a computer system implemented method is used in managing product knowledge. The product knowledge comprises data items related to products offered for sale by a selling entity. The computer system includes a memory arrangement and at least one processing unit. The method comprises defining a data model of data categories. The data model establishing relationships between data categories. A particular data item is received in the computer system that corresponds to one or more of the data categories. User-defined relationship information is received for the particular data item. The relationship information relates the particular data item to one or more other data items. The product knowledge, which includes information about the particular data item, is present to a user of the system. The manner in which the product knowledge is presented is established by th
Johnson Jerome Dale
Mehr Dale Arthur
Firepond, Inc.
Merchant & Gould P,C,
Von Buhr Maria N.
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