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Prof. Dr. SSL of FP by C for LDV – pp. 1

Management Information Systems

13

• 166137-01+02

• Management Information Systems • Spring 2014

• Sync Sangwon Lee, Ph. D

• D. of Information & Electronic Commerce • WONKWANG University

Management Information Systems / 2014-1-WKU-MIS-A07.pptx

Prof. Dr. SSL of FP by C for LDV – pp. 2

• 01. Data Analysis

• 02. Data Mining

• 03. Social Network Analysis

00. Contents

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Prof. Dr. SSL of FP by C for LDV – pp. 3

• Data vs. Information vs. Knowledge

Data DB Database

EDPS

Electronic Data Processing Systems Information DW Data Warehouse

IS

Information Systems Knowledge KB Knowledge Base

KS

Knowledge Systems Manipulating Rule-Making Insert/Update/Delete/Retrieve (Various)Retrieve Forecast/Decide/Explain/Infer SQL SQL/OLAP Tool

Management Information Systems / 2014-1-WKU-MIS-A07.pptx

Prof. Dr. SSL of FP by C for LDV – pp. 4

• Data vs. Information vs. Knowledge

01. Data Analysis

DPS(Data Processing Systems)

ERP(Enterprise Resource Planning) WMS(Workflow Management Systems) BPR(Business Process Reengineering) SIS(Strategic Information Systems) KMS(Knowledge Management Systems)

DSS(Decision Support Systems) / DM(Data Mining)

AI(Artificial Intelligence) / ES(Expert Systems)

/ ANN(Artificial Neural Network)

More Intelligent

Create Read Update Delete Estimate Detect Infer Explain

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Prof. Dr. SSL of FP by C for LDV – pp. 5

• Case of Data Mining (Walmart)

Data Mining

Association Detection

Rearrangement (Cross-Selling)

Sales Up

Management Information Systems / 2014-1-WKU-MIS-A07.pptx

Prof. Dr. SSL of FP by C for LDV – pp. 6

• Data Mining

• Sequential process to extract useful knowledge from large data by exploring

and finding out relationships, patterns, rules, and so on

02. Data Mining

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Prof. Dr. SSL of FP by C for LDV – pp. 7

• General Procedure of Data Mining

MRDB MDDB Data Marts Data Warehouse DBMS Operational Database Data Mining Tools Report, Query, EIS Tools OLAP Tools

Applications & Tools

Data Extract Data Cleanup Data Load

Operational & External Data

Information Technology for Management, E. Turban

Management Information Systems / 2014-1-WKU-MIS-A07.pptx

Prof. Dr. SSL of FP by C for LDV – pp. 8

• General Procedure of Data Mining

02. Data Mining

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Prof. Dr. SSL of FP by C for LDV – pp. 9

• General Procedure of Data Mining

Sampling Preprocessing Data

Transformation Mining Analysis and Evaluation DW/DB Target data Preprocessed data Transformed data Patterns/ Models Knowledge

Information Technology for Management, E. Turban

Management Information Systems / 2014-1-WKU-MIS-A07.pptx

Prof. Dr. SSL of FP by C for LDV – pp. 10

• Related Terms of Data Mining

02. Data Mining

KDD(Knowledge Discovery in Database) EDA(Exploratory Data Analysis) Rule Induction

Pattern Analysis Related Terms of DM

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Prof. Dr. SSL of FP by C for LDV – pp. 11

• Tools of Data Mining

SPSS Clementine SAS E*Miner Statistica Mathematica Tools of DM R http://www.emeraldinsight.com

Management Information Systems / 2014-1-WKU-MIS-A07.pptx

Prof. Dr. SSL of FP by C for LDV – pp. 12

• Fields of Data Mining

02. Data Mining

Expert Systems Machine Learning Statistics Database Fields of DM Visualization http://techpubs.sgi.com

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Prof. Dr. SSL of FP by C for LDV – pp. 13

• Application Problems of Data Mining

Classification

Application Problems of DM

Estimation

• Bankruptcy

• Wrongful use of credit card Prediction

Association Clustering Description

Management Information Systems / 2014-1-WKU-MIS-A07.pptx

Prof. Dr. SSL of FP by C for LDV – pp. 14

• Application Problems of Data Mining

02. Data Mining

Classification Application Problems of DM Estimation • Customer Value • Customer Credit Prediction Association Clustering Description

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Prof. Dr. SSL of FP by C for LDV – pp. 15

• Application Problems of Data Mining

Classification Application Problems of DM Estimation • Bankruptcy • Sales • Income Prediction Association Clustering Description

Management Information Systems / 2014-1-WKU-MIS-A07.pptx

Prof. Dr. SSL of FP by C for LDV – pp. 16

• Application Problems of Data Mining

02. Data Mining

Classification Application Problems of DM Estimation • Cross Selling • Up Selling Prediction Association Clustering Description

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Prof. Dr. SSL of FP by C for LDV – pp. 17

• Application Problems of Data Mining

Classification Application Problems of DM Estimation • Customer Segmentation Prediction Association Clustering Description

Management Information Systems / 2014-1-WKU-MIS-A07.pptx

Prof. Dr. SSL of FP by C for LDV – pp. 18

• Application Problems of Data Mining

02. Data Mining

Classification Application Problems of DM Estimation • Customer Profiling Prediction Association Clustering Description

(10)

Prof. Dr. SSL of FP by C for LDV – pp. 19

• Applications of Data Mining

Classification Applications of DM

Estimation

• Customer Segmentation • Analysis of Secession Customers • Fraud Detection

• Direct Marketing • Market Basket Analysis • Trend Analysis Prediction

Association Clustering Description

Management Information Systems / 2014-1-WKU-MIS-A07.pptx

Prof. Dr. SSL of FP by C for LDV – pp. 20

• Techniques of Data Mining

02. Data Mining

Association Rule Discovery Techniques of DM

Decision Tree

• Market Basket Analysis

Case-Based Inference Genetic Algorithm Clustering Analysis Artificial Neural Network Link Analysis

• Cluster Detection

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Prof. Dr. SSL of FP by C for LDV – pp. 21

• Characteristics of Data Mining

Knowledge-Intensive Approach Characteristics of DM

Modeling Process

• Application Knowledge • Database Knowledge • Data Warehouse Knowledge • Statistics Knowledge Generalization • Iterative • Interactive • Incremental • Statistical Inference http://www.depositphotos.com

Management Information Systems / 2014-1-WKU-MIS-A07.pptx

Prof. Dr. SSL of FP by C for LDV – pp. 22

• Data Mining and Customer Relationship Management

02. Data Mining

Operational CRM Types of CRM

Analytical CRM Collaborative CRM

• Business Operation Management

• Business Performance Management

• Customer Interaction Management

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Prof. Dr. SSL of FP by C for LDV – pp. 23

• Data Mining and Customer Relationship Management

Operational CRM

Business Operation Management

Analytical CRM

Business Performance Management

Collaborative CRM

Customer Interaction Management Sales

Marketing Service Sales Data

Analysis Marketing Data Analysis Customer Data Analysis Feed Back Planning/ Analysis Action Web Personalization Call Center Automation Web Sales & Service Closed Loop Processing

References

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