Data Mining Predictive

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Transcript of Data Mining Predictive

DATA MINING PREDICTIVE

Disusun oleh:Hendy Jati S. 112081054Norman Akbar 112090116Tiara I. Pratiwi112090205

Defi-nition

Damin &

Busi-ness

Intelli-gence

Damin

Metho-dology

Appli-cation

on Mar-

keting&CRM

Pro-blem Sol-

vable with

Damin

Study Case

Soft-ware

1DEFINITION

DATA MINING

Sekumpulan Data Pola Informasi

Data Mining

2DATA MINING &

BUSINES

S INTELLIGE

NCE

Damin & Business Intelligence

3Data Mining

Methodology

4Application onMarketing &

CRM

APPLICATION ON MARKETING & CRM

Mengidentifikasi calon pelanggan yang baik (good prospect)

Memilih saluran komunikasi untuk mecapai calon pelanggan

Memilih pesan yang tepat untuk berbagai kelompok calon pelanggan

Data Mining to Choose the Right Place to Advertise

Data Mining to Improve Direct Marketing Campaigns

Using Current Customers to Learn About Prospects

Data Mining for Customer Relationship Management

FUNGSI

5Problem Solvable

With Damin

PREDIKTIF

CLASIFICATION

ESTIMATION

PREDICTION

DESKRIPTIF

CLUSTERING

ASSOCIATION RULE DISCOVERY

SEQUENTIAL PATTERN DISCOVERY

Problem Solvable

Prediktif

Data Variabel

Unknown Value

Future

Value

CLASSIFICATION

ModelData

Kelas

Periksa karakteristik

Input ke kelas yg sudah terdefinisi

Input

Training Data Set

Classifier Output

Model Teknik-teknik yang digunakan

CLASSI-FICATION

Decision Tree

Neural Networks

Rule-based Method

Naive Bayes & Bayesian Belief

networks

CLASSIFICATION TECHNIQUE

Decision Tree

+ -

Mudah

Hemat

Biaya

Hemat

waktu

Tidak untuk

data

kompleks

Neural Networks

(+) (-)

Akurasi tinggi

Paralel

Mudah diupdate

Untuk data yg

kompleks

Sulit untuk

diimplementasikan

Mahal

Rule based method

Pola data Unknown Value

Frekuensinya Besar

Kelemahan:Suksesnya klasifikasi data, bergantung pada banyaknya data yang tersimpan

Naive Bayes & Bayesian Belief Network

Minimasi Cost

Mudah diimplementasi

Minimasi kebutuhan data training

Estimation

• Data

Input• Nilai

kontinu

Output

Proses pengolahan

Prediction

Data Classification Future Value

6STUDY CASE

TARGET

CORPORATION

Let’s enjoy this Video !!!

Retail Industry

1st Place

2nd Place

History

• Founded by George Dayton

• Dayton Dry Goods Company

1902

• First Store, in Roseville Minnesota

1962

• Renamed as Target Corporation

2000

• Total 1357 Store

2005

• Expansion to Canada

2011

Problem

Solve

Data Mining

7Software

Karma

CRM

Why KarmaCRM?

No more miss moment

Good karma, anywhere

perfect balance

Feature

Symple contact

management

Team management

Third party integration

Flexible reporting

Manage your sales Process

System Requirements

• Hanya memerlukan web browser seperti firefox, chrome, Opera

• Juga dapat digunakan via mobile dengan dengan web browser yang ada di smartphone

Preview

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