Detailed data associating program, detailed data associating apparatus, and detailed data associating method

• US 20090319545A1
• Filed: 08/26/2009
• Published: 12/24/2009
• Est. Priority Date: 02/28/2007
• Status: Abandoned Application

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: Yamada, Hiroki, Takagi, Yoshihiro, Miura, Masayuki
• Application Number:
  US12/461,866
• Publication Number:
  US 20090319545A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A method for associating detailed data is to aggregate the detailed data by using an aggregation key when detailed data generated in relation to a business is accumulated in a predetermined journal in a format that can identify an aggregation key and segments. The method includes storing the association between the segments as a business pattern; outputting the business pattern to an output unit so as to explicitly show the association between the segments, and associating an input business event name with each segment; outputting the business event name to the output unit and associating an input journal name with the business event name; and outputting the journal name to the output unit and associating an input rule with the journal name, the rule specifying which record in a journal identified by the journal name the detailed data identified by the business event name is.

Claims

1. A computer-readable recording medium that stores a detailed data associating program that causes a computer to execute a method for creating an association between pieces of detailed data to aggregate the detailed data by using an aggregation key when the detailed data generated in relation to a business is accumulated in a predetermined journal in a format that identifies the aggregation key used to aggregate the detailed data and segments used to manage the detailed data in the course of business, the detailed data associating program causing the computer to execute:

storing the association between the segments as a business pattern corresponding to a primary aggregation key that is a broader concept of the aggregation key;

outputting the business pattern stored at the storing, to a predetermined output unit so as to explicitly show the association between the segments, receiving in a predetermined input unit a business event name input that identifies the segments belonging to each aggregation key, and creating the association between the received business event name and each segment;

outputting the business event name received at the receiving to a predetermined output unit, receiving a journal name input identifying a journal that accumulates therein the detailed data identified by the business event name in a predetermined input unit, and associating the received journal name with the business event name; and

outputting the journal name received at the receiving to a predetermined output unit, receiving a rule in a predetermined input unit, the rule specifying which record in the journal identified by the journal name the detailed data identified by the business event name received at the receiving is, and associating the received rule with the journal name.

2. The computer-readable recording medium according to claim 1, wherein the detailed data associating program further causes the computer to execute outputting to explicitly show not only the association between the segments, but also the association with the primary aggregation key or the aggregation key when outputting the business pattern to the predetermined output unit.

3. The computer-readable recording medium according to claim 1, wherein the detailed data associating program further causes the computer to execute outputting a business event name shared by a plurality of such aggregation keys to explicitly show that the business event name is shared by the aggregation keys, when outputting any one, two, or all of the association between the business event name and each segment created at the associating, the association between the journal name and the business event name created at the associating, and the association between the rule and the journal name created at the associating simultaneously to a predetermined output unit in relation to the aggregation keys.

4. The computer-readable recording medium according to claim 1, wherein the detailed data associating program, further causes the computer to execute:

associating each piece of the detailed data accumulated in the journal according to the association between the business event name and each segment created at the associating, the association between the journal name and the business event name created at the associating, and the association between the rule and the journal name created at the associating; and

outputting so as to explicitly show the association between pieces of the detailed data associated at the associating and any one, two, or all of the business event name, the journal name, and the rule to a predetermined output unit.

5. A detailed data associating apparatus for creating an association between pieces of detailed data to aggregate the detailed data by using an aggregation key when the detailed data generated in relation to a business is accumulated in a predetermined journal in a format that identifies the aggregation key used to aggregate the detailed data and segments used to manage the detailed data in the course of business, the detailed data associating apparatus comprising:

a business pattern storing unit that stores the association between the segments as a business pattern corresponding to a primary aggregation key that is a broader concept of the aggregation key;

a business event name creating unit that outputs the business pattern stored in the business pattern storing unit, to a predetermined output unit so as to explicitly show the association between the segments, receives in a predetermined input unit a business event name input that identifies the segments belonging to each aggregation key, and creates the association between the received business event name and each segment;

a journal name creating unit that outputs the business event name received by the business event name creating unit to a predetermined output unit, receives a journal name input identifying a journal that accumulates therein the detailed data identified by the business event name in a predetermined input unit, and associates the received journal name with the business event name; and

a rule creating unit that outputs the journal name received by the journal name creating unit to a predetermined output unit, receives a rule in a predetermined input unit, the rule specifying which record in the journal identified by the journal name the detailed data identified by the business event name received by the business event name creating unit is, and associates the received rule with the journal name.

6. The detailed data associating apparatus according to claim 5, wherein the business event name creating unit outputs to explicitly show not only the association between the segments, but also the association with the primary aggregation key or the aggregation key when outputting the business pattern to the predetermined output unit.

7. The detailed data associating apparatus according to claim 5, further comprising a shared output unit that outputs a business event name shared by a plurality of such aggregation keys to explicitly show that the business event name is shared by the aggregation keys, when outputting any one, two, or all of the association between the business event name and each segment created by the business event name creating unit, the association between the journal name and the business event name created by the journal name creating unit, and the association between the rule and the journal name created by the rule creating unit simultaneously to a predetermined output unit in relation to the aggregation keys.

8. The detailed data associating apparatus according to claim 5, further comprising:

a detailed data associating unit that associates each piece of the detailed data accumulated in the journal according to the association between the business event name and each segment created by the business event name creating unit, the association between the journal name and the business event name created by the journal name creating unit, and the association between the rule and the journal name created by the rule creating unit; and

a detailed data output unit that outputs so as to explicitly show the association between pieces of the detailed data associated by the detailed data associating unit and any one, two, or all of the business event name, the journal name, and the rule to a predetermined output unit.

9. A detailed data associating method for creating an association between pieces of detailed data to aggregate the detailed data by using an aggregation key when the detailed data generated in relation to a business is accumulated in a predetermined journal in a format that identifies the aggregation key used to aggregate the detailed data and segments used to manage the detailed data in the course of business, the detailed data associating method comprising:

storing the association between the segments as a business pattern corresponding to a primary aggregation key that is a broader concept of the aggregation key;

outputting the business pattern stored at the storing, to a predetermined output unit so as to explicitly show the association between the segments, receiving in a predetermined input unit a business event name input that identifies the segments belonging to each aggregation key, and creating the association between the received business event name and each segment;

outputting the business event name received at the receiving to a predetermined output unit, receiving a journal name input identifying a journal that accumulates therein the detailed data identified by the business event name in a predetermined input unit, and associating the received journal name with the business event name; and

outputting the journal name received at the receiving to a predetermined output unit, receiving a rule in a predetermined input unit, the rule specifying which record in the journal identified by the journal name the detailed data identified by the business event name received at the receiving is, and associating the received rule with the journal name.

10. The detailed data associating method according to claim 9, wherein further includes outputting to explicitly show not only the association between the segments, but also the association with the primary aggregation key or the aggregation key when outputting the business pattern to the predetermined output unit.

11. The detailed data associating method according to claim 9, further comprising outputting a business event name shared by a plurality of such aggregation keys to explicitly show that the business event name is shared by the aggregation keys, when outputting any one, two, or all of the association between the business event name and each segment created at the associating, the association between the journal name and the business event name created at the associating, and the association between the rule and the journal name created at the associating simultaneously to a predetermined output unit in relation to the aggregation keys.

12. The detailed data associating method according to claim 9, further comprising:

associating each piece of the detailed data accumulated in the journal according to the association between the business event name and each segment created at the associating, the association between the journal name and the business event name created at the associating, and the association between the rule and the journal name created at the associating; and

outputting so as to explicitly show the association between pieces of the detailed data associated at the associating and any one, two, or all of the business event name, the journal name, and the rule to a predetermined output unit.