DATA INTEGRATED ANALYSIS SYSTEM

• US 20140108100A1
• Filed: 10/08/2013
• Published: 04/17/2014
• Est. Priority Date: 10/16/2012
• Status: Active Grant

• Current Assignee: Hitachi, Ltd.
• Original Assignee: Hitachi, Ltd.
• Inventors: FUKUMA, Shinichi, OHKUBO, Norio, MORIWAKI, Norihiko, YANO, Kazuo, SATO, Nobuo, TOMITA, Hiroyuki, HAYAKAWA, Miki
• Granted Patent: US 10,445,676 B2
• Time in Patent Office: Days
• US Class Current: 705/7.38
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations

Abstract

A generation technique and an analysis technique of a large number of explanatory variables to derive effective measures by using various data are provided. Specifically, a factor which lurks in a large amount of data and affects business performance is identified by automatically generating a large number of explanatory variables and performing correlation analysis between the explanatory variables and an objective variable. Three operators representing condition, target, and arithmetic which are variable generation conditions are defined in advance for data inputted into an analysis system and a large number of explanatory variables are automatically generated by these operators.

Claims

1. A data integrated analysis system using a storage unit that stores data and variable generation condition information, the data integrated analysis system comprising:

an explanatory variable generation unit that generates explanatory variables related to the data by using the variable generation condition information;

an objective variable input unit that receives an input of an objective variable;

a correlation calculation unit that calculates correlation between the objective variable and the explanatory variables; and

a display unit that displays the correlation on a screen.

2. The data integrated analysis system according to claim 1,

wherein the variable generation condition information includes an operator set of a conditional operator, a target operator, and an arithmetic operator, and

wherein, when the explanatory variable generation unit generates the explanatory variables by using the operator set for the data, the explanatory variable generation unit generates a plurality of the explanatory variables by using a plurality of operator sets in which any one of the conditional operator, the target operator, and the arithmetic operator is changed.

3. The data integrated analysis system according to claim 2, further comprising:

a temporal granularity calculation unit that generates temporal granularity information based on the objective variable,

wherein the conditional operator includes the temporal granularity information, and

wherein the explanatory variable generation unit generates the explanatory variables based on the temporal granularity information.

4. The data integrated analysis system according to claim 1, further comprising:

an analysis condition input unit that receives inputs of an analysis type, an analysis period, and an analysis resolution,

wherein the correlation calculation unit calculates the correlation between the objective variable and the explanatory variables on the basis of the analysis type, the analysis period, and the analysis resolution.

5. The data integrated analysis system according to claim 1,

wherein the correlation calculation unit calculates a degree of contribution in the correlation, and

wherein the display unit displays the objective variable, the explanatory variables, and the degree of contribution on the screen.

6. The data integrated analysis system according to claim 1,

wherein the correlation calculation unit generates an effect unit which is a unit of effect caused by the explanatory variable to the objective variable in the correlation and an effect value which represents the effect by using the effect unit, and

wherein the display unit displays the effect unit and the effect value on the screen.

7. The data integrated analysis system according to claim 1, further comprising:

a determined explanatory variable input unit that receives an input of a determined explanatory variable,

wherein the correlation calculation unit calculates correlation between the objective variable and the determined explanatory variable by using the explanatory variable.

8. The data integrated analysis system according to claim 1,

wherein the data includes profit information, and

wherein the data integrated analysis system includes

a behavior change information input unit that receives an input of behavior change information;

a profit change calculation unit that calculates profit change information on the basis of the profit information;

a service effect determination unit that calculates a service effect on the basis of the behavior change information and the profit change information; and

a profit sharing calculation unit that calculates a profit sharing ratio on the basis of the service effect.

9. A profit sharing service providing method which uses a data analysis service system including a service business store system installed in a store, a service business management headquarters system installed in a store management headquarters, and a storage unit that stores variable generation condition information, the profit sharing service providing method comprising:

the service business store system transmitting measure information in the store to the data analysis service system;

the service business management headquarters system transmitting first POS information to the data analysis service system;

the service business store system receiving an input of an objective variable by an objective variable input unit and transmitting the objective variable to the data analysis service system;

the data analysis service system extracting the variable generation condition information from the storage unit and generating an explanatory variables for the measure information and the first POS information by an explanatory variable generation unit, calculating correlation between the objective variable and the explanatory variables by a correlation calculation unit, and transmitting the correlation to the service business store system;

the service business store system receiving an input of behavior change information and transmitting the behavior change information to the data analysis service system;

the service business management headquarters system transmitting second POS information generated after the first POS information to the data analysis service system;

the data analysis service system calculating profit change information based on the second POS information by a profit change calculation unit, calculating a service effect based on the behavior change information and the profit change information by a service effect determination unit, generating report information based on the service effect, and transmitting the report information to the service business management headquarters system; and

the service business management headquarters system calculating a profit sharing ratio based on the report information by a profit sharing ratio calculation unit and transmitting service charge information based on the profit sharing ratio to the data analysis service system.