EP1920362A1 - Procede de traitement de donnees - Google Patents

Procede de traitement de donnees

Info

Publication number
EP1920362A1
EP1920362A1 EP06791638A EP06791638A EP1920362A1 EP 1920362 A1 EP1920362 A1 EP 1920362A1 EP 06791638 A EP06791638 A EP 06791638A EP 06791638 A EP06791638 A EP 06791638A EP 1920362 A1 EP1920362 A1 EP 1920362A1
Authority
EP
European Patent Office
Prior art keywords
data
user interface
modules
user
results
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP06791638A
Other languages
German (de)
English (en)
Inventor
Jörg Müller
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of EP1920362A1 publication Critical patent/EP1920362A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G06F16/256—Integrating or interfacing systems involving database management systems in federated or virtual databases

Definitions

  • the invention relates to a method for processing data in which data from a plurality of data sources are made available to a user for further processing.
  • Data sources come in a variety of forms. Even within a single company, there are a variety of software solutions that provide different databases that are optimized for specific results. As new problems arise, new software programs are usually developed, new databases designed, data supplied, new applications created from existing databases through new programming, and so forth.
  • the resulting software solutions are often not operable for the non-specialized user.
  • the end user does not understand the underlying concepts or does not understand the user interface. This The effect is reinforced if the results are not plausible or can not be understood, because the end user does not understand on what basis the results presented to him by the software can actually have originated. In this case, the end users' trust in the software solution made available to them is often lost.
  • US Patent No. 5,426,780 proposes a system for the dynamic segmentation of geographical information from sotler- GIS ⁇ Databases- vorv- through a highly specialized surface to produce a technical query language for such special evaluation GIS databases here this user is supported ,
  • the target group of users interested in such geographical information receives here a technically simplified representation of the result. Nevertheless, the user has to bring a lot of background knowledge about this data; a transfer to other problems is not possible.
  • the CA 2 200 924 C discloses a tool whose user interface is to enable the user to explore data sets in a graphical form.
  • a very large database is to be decomposed using this tool into a variety of smaller data extracts and can be analyzed in a relatively shorter time. These smaller data extracts can then be further processed.
  • This method is particularly an aid to the skilled person, less for the end user.
  • EP 1 482 417 A1 describes data processing methods and systems with which different tables of databases can be combined with one another. The process of collecting data from different physical Data sources and standardization for later evaluation by software applications are described as follows.
  • the process of extraction and standardization by transformation as well as the storage of data in a separate database is proposed, the database here being of the data warehouse type.
  • the data transport is particularly asynchronous and complex infrastructures are solved by individual programming.
  • the unified unified data warehouse, the Data Warehouse then provides all needed data from the other data sources to the end user.
  • the end-user only resorts to this data warehouse, concealing all other processes-and can not be updated or modified unless he gets the help of a specialist.
  • EP 1 191 462 A1 a method for combining unequal data sources is known. Different table formats should be combined. It describes some basic mechanisms that are needed in a data warehouse to quickly evaluate and retrieve data. The basic idea is to build an index on the same attributes and thus to find a combination. The structure becomes so strong and unvariable.
  • the object of the invention is therefore to propose such a method for processing data.
  • a method for processing data having the following steps: Providing multiple data sources; Symbolizing the individual data sources on a user-accessible user interface of a data processing system; Providing one or more data access methods to the individual data sources that provide a uniformly processable data structure; Providing combination method modules that can perform a combination of data supplied thereto from the uniformly processable data structures of the data sources or from the results of other combination method modules and enable the results to be disseminated, symbolizing the combination method modules in the user interface; Providing a method module for outputting or further processing the results; Symbolizing the process module for outputting or further processing the results in the user interface; and allowing any arrangement of the data source symbols and combination method module symbols and output symbols on the user interface to one another, the arrangement also reflecting the sequence of the individual data processing steps.
  • the user interface is a graphical user interface of a screen of the data processing system.
  • data access methods are also made available to him, which can take from these individual data sources a specific data structure which can be further processed uniformly.
  • data access methods are also made available to him, which can take from these individual data sources a specific data structure which can be further processed uniformly.
  • There are various methods for this purpose which are also described, inter alia, for example in the abovementioned publications from the prior art. If the end user is provided with a specific data source for the purpose of use, such a data access method can naturally also be made available at the same time. For the end user, it does not matter how this process works.
  • combination process modules it is possible to combine data from two of the data sources or two subsets of the same data source. More precisely, the data derived from the uniformly processable data structures are combined with each other and the results are passed on after the combination.
  • Such combination process modules can do different things. They are also offered to the user as icons in the user interface.
  • This process which can also be described as modeling or as a "data modeling process”, is thus carried out by the end user, who determines which data sources he wants to use at the moment, how he wants to combine them, and which data he has All this is understandable for him and is presented to him without programming knowledge or special expertise plausible on the user interface so.
  • this output can be a simple list of details for a caII center that previously contacts concrete and carefully selected customer contacts for a particular issue.
  • a hierarchical representation of categories and preconfigured nodes is used.
  • nodes that are provided on the user interface, such as the screen already equipped from the outset with a pre-configuration.
  • the user or user can then use the Insert the selected node type into the modeling interface, for example, by a double-click or by drag and drop techniques.
  • the process of the configuration of the node which is required per se in the course of the overall process, is reduced or considerably simplified for the user and the user. This reduces the special demands placed on the user and shifts them to the steps to be taken before the procedure is made available.
  • This_procedure- is-an-example-for-the-node-type-of-a-data-source.
  • pre-configuration might already include the selection of "all customers of the trade industry.”
  • This feature of the node namely, to "show, pass, or provide trade to all customers in the industry," is assigned to the node as a pre-configuration and made available to the programmer posed. If the program was used for a long time, this configuration would be maintained regularly. However, the user and user need not be interested in this. Without his further assistance, these properties are automated and made available. The user and user can thus start or continue modeling immediately, by inserting the node into its sequence at its desired position on its user interface.
  • the end user can mark certain larger modules, which always prove to be useful for him, together as a large module from data sources, combination process modules and further steps. This "package" can then be combined by him with other, each variable elements to serve currently certain other purposes.
  • Another advantage is that additional data sources that are made available in the company over time can be included comparatively easily. These new data sources can then be used immediately by the end user without further additional knowledge. He can then process them with the same combination method modules that are already available to him anyway.
  • data from different systems can be selected, for example from different SAP systems and not SAP systems. These selected data can be combined with each other and the resulting selection results can then be exported to various further processing.
  • the data modeling can be done with real data and can be operated in a dialog even with very large amounts of data of more than 100,000 data records.
  • the inventive methods support, for example, a simple import and export into common spreadsheet programs, whereby interfaces for different SAP systems can be made available. At the same time, a simple connection of third-party systems, such as SAP, is not guaranteed.
  • the method does not stand in the way of execution in the background without user dialog (batch capability).
  • Areas of application include, for example, selections in marketing and sales, data analysis by departments in the IT sector and data migration from external systems.
  • Figure 1 is a schematic example of the result of data modeling performed by the method of the invention.
  • FIG. 2 shows a concretized embodiment of a method according to FIG.
  • FIG. 1 The first figure.
  • FIG. 3 shows an example of an actual image on a user interface.
  • nodes 20 can be provided for the various symbols, which nodes can be configured to different types of nodes. These types of nodes can be distinctively distinguished from one another by different shapes or colors for the user, and symbolize nodes 31 for data sources, or nodes 32 for combination engine modules, or nodes 33 for output modules or other types of nodes.
  • the node types will be described in more detail later.
  • each node can also be described with free words that the end user can choose and thus documents the significance of this node for the user.
  • Each node 20 is configurable depending on its meaning, which can influence its behavior.
  • a node can have one or more inputs 30 for data, and it also has a result output 35, with which the results produced in the node are passed on.
  • the figure 1 shows symbols for one or more real data sources 21 and the real further processing 23 of the results.
  • symbolized nodes 22 on the modeling surface follow in the selected representation on the real data sources 21. These symbolized nodes 22 are available in the node types 31, 32 and 33 already mentioned above.
  • the end user can now combine the various nodes 31, 32, 33 by connecting the outputs 35 and inputs 30 of the nodes to each other as he logically wishes.
  • Nodes can access the result outputs of predecessor nodes.
  • a node can not enter one, one or more links to predecessor nodes.
  • Essential node types are a data source 31, a combination process module 32 and an output module 33.
  • the node type 31 relating to the data source provides the results of a data source, for example the table of a database with selection parameters. He uses a real data source 21 for this purpose. This is symbolized in FIG. 1 by a dashed line.
  • This node 31 can influence the output results, which means that additional conditions limit the result set.
  • This node type 31 can not make connections to predecessor nodes, except for the mentioned recourse to the real data source 21.
  • a node type symbolizing a combination method module 32 may receive and combine the output results 35 of other nodes 31 or 32 as input 30.
  • the output result 35 is the result of the combination of exactly two predecessor nodes in the described embodiment.
  • the configuration can be used to influence the way in which the results of the two predecessor nodes are to be combined with each other.
  • An output module 33 or the node that symbolizes this output module provides a possibility of transferring the output results 35 of the predecessor nodes to a further processing, wherein this further processing can also be an expression, a display on a screen or even a completely different form of further processing.
  • This real further processing follows in the representation as a cylindrically represented node 23 to the output module 33.
  • the configuration of this output module 33 can be set to continue processing.
  • This node type 33 can enter as many connections to predecessor nodes as desired.
  • a node can be formed as a filter module, with which the results of predecessor nodes are subjected to certain additional filter criteria, which are generally common or developed specifically for this case.
  • the output result 35 of this node contains all the results of the predecessor node without the filtered data records.
  • the Robinson list can either be defined as data source 21 and used as node 31, or it can be used as a filter criterion. For the end user, this is less relevant, so that practical solutions can be chosen here.
  • the data sources 31 themselves can either already be filtered, so that a data source from the outset, for example, contains only the data sets that relate to a specific type of goods.
  • the filter cut can also be applied to the already unified data structure.
  • this node type can enter exactly one connection to a predecessor node if it is used.
  • Another node can be used as a finishing or refinement module. With this node type, the results of a predecessor node can be enriched with additional details. Again, this is ultimately an additional data source from which these additional details can be extracted.
  • This node type can also be exactly one link to a node type.
  • node type provides the end user with the ability to reuse earlier or previously established multi-node data modeling.
  • the earlier modeling is then represented as a node.
  • the process of data modeling itself in the inventive concept is such that one or more type 21 data sources provide their results through type 31 nodes.
  • the user models this data by inserting and linking further nodes.
  • FIG. 1 this is shown symbolically with three data sources 31 and two combination method modules 32 linked to the data sources and one output module node 33.
  • FIG. 2 another example is shown, by means of which a possible use of the invention is shown, which has created an end user approximately on his laptop from the possibilities available to him.
  • the data already in a data structure for further processing are fed to a combination process module, which forms the customers of the article "X-bought".
  • the remaining data sets are then supplemented with additional address and communication data. As stated above, this may be an additional data source combined with the data.
  • UI modeling workspace On the left side of the UI modeling workspace are the options available to the end user. He can arrange these, for example, by means of "drag and drop” techniques in the modeling workspace at the desired location or click in another form and select.
  • the lowermost area provides all the options that the end user can use, ie all available data sources, combination process modules with their respective capabilities, and finally the output modules, ie the type and form of output for further processing, such as printing, on a screen or for other purposes.
  • the end user can choose which favorites he may need most frequently and therefore prefer to use them.

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

L'invention concerne un procédé de traitement de données comportant plusieurs étapes. On prend plusieurs sources de données. Au moins un procédé d'accès aux données est appliqué aux différentes sources de données qui mettent à disposition une structure de données pouvant être retraitée de manière uniforme. Les différentes sources de données sont symbolisées sur une interface utilisateur d'un système de traitement de données, cette interface étant visible pour un utilisateur. Des modules de procédé combinatoire entreprennent une combinaison des données leur provenant des structures de données des sources de données, ces structures de données étant retraitées de manière uniforme, ou bien des événements d'autres modules de procédé combinatoire et permettent une retransmission des événements. Les modules de procédé combinatoire sont symbolisés sur l'interface utilisateur. Un module de procédé permet l'émission ou le retraitement des événements. Ce module de procédé destiné à l'émission ou à la retransmission des événements est symbolisé sur l'interface utilisateur. Un agencement quelconque des symboles de sources de données et des symboles de modules de procédé combinatoire et des symboles d'émission sur l'interface utilisateur est possible. L'agencement reflète le déroulement des différentes étapes de traitement de données.
EP06791638A 2005-08-24 2006-08-24 Procede de traitement de donnees Withdrawn EP1920362A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102005040240 2005-08-24
PCT/EP2006/008317 WO2007022981A1 (fr) 2005-08-24 2006-08-24 Procede de traitement de donnees

Publications (1)

Publication Number Publication Date
EP1920362A1 true EP1920362A1 (fr) 2008-05-14

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
EP06791638A Withdrawn EP1920362A1 (fr) 2005-08-24 2006-08-24 Procede de traitement de donnees

Country Status (4)

Country Link
US (1) US20080320407A1 (fr)
EP (1) EP1920362A1 (fr)
CN (1) CN101283355A (fr)
WO (1) WO2007022981A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101616319B (zh) * 2009-07-24 2011-03-16 成都市华为赛门铁克科技有限公司 数据处理方法及服务设备

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5426780A (en) * 1992-02-28 1995-06-20 Intergraph Corporation System for dynamic segmentation analysis using conversion of relational data into object-oriented data
AU2107595A (en) * 1994-04-04 1995-10-23 Numetrix Laboratories Limited Graphically controlled method and system for data integration
US6968511B1 (en) * 2002-03-07 2005-11-22 Microsoft Corporation Graphical user interface, data structure and associated method for cluster-based document management
US7860916B2 (en) * 2003-03-18 2010-12-28 Microsoft Corporation Systems and methods for transforming data in buffer memory without unnecessarily copying data to additional memory locations

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See references of WO2007022981A1 *

Also Published As

Publication number Publication date
CN101283355A (zh) 2008-10-08
WO2007022981A1 (fr) 2007-03-01
US20080320407A1 (en) 2008-12-25

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