Data warehouse
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Transcript Data warehouse
Information Technology
in CRM
CRM-Information Technology 吳明泉博士 2009
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Outline
CRM Architecture
Basic concept about data and information
Data warehouse
Data mining
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CRM Architecture
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CRM系統的運用範疇
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CRM輔以資料倉儲技術之概念圖
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CRM的功能模組
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CRM系統功能架構
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完整的顧客服務與支援範圍
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電話客服中心(Call Center)四大功能
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電腦電話整合(CTI)概念架構
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A Basic CRM Model
Data
sources
Data
Gathering
System
Data
Warehouse
Information
Delivery
System
Information
users
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Document Concepts
(Unstructured Information)
Character字母
Word/Phrase字/詞
Sentence句
Paragraph段
Section/Chapter節/章
Document文件
Document Repository 文件儲存庫
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Data Concepts
(structured Information)
Character – single alphabetic, numeric or
other symbol
Field欄位– group of related characters
Attribute屬性– characteristic of an entity
Entity實體– person, place, object or event
Record記錄– collection of attributes that
describe an entity
File檔案– group of related records
Database資料庫– integrated collection of
logically related data elements
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Data Defined
Primary data
Secondary data
Derived data
Individual data
Household data
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Database Management Approach
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A Basic CRM Model-Data sources
Internal, i.e.,
External, i.e.,
Product quality from manufacturing
Customer payment habits from finance unit
Customer response to features and prices from
sales
Customers
Supplier
Competitors
Government
Digital and other forms
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A Basic CRM Model-Gathering System
Convert incoming data with proper format
Organization and data management
Internal versus external
Most internal data may be converted in a desired form.
External data maybe converted by some need to be
keyed in by operators, i.e. CDI.
How much data?
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Data Capture & Input
Touch points
What is being captured?
What should be captured?
Availability
Timing &Quality
Purchase transaction, phone calls, email, warranty,
standing at the service desk.
Input of additional data
Point of Sale input
Credit cards, coupons
Keyed and Scanned data input
Internet input
Real-time versus batch
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A Basic CRM Model- Warehouse
Large database that stores data that have been
extracted from the various operational, external, and
other databases of an organization
存放著從組織內部營運資料庫與外部資料庫所萃取而來
的大型資料庫。
Prepare data for storage, store, and describe data for later
retrieval
Data Storage
Data Management
Management and Control
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Objectives of Data Warehouse
Keep the data current
Ensure the data accurate
Keep the data secure
Make the data easily available to authorized users
Maintain descriptions of the data so that they are
understandable
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A Basic CRM Model-Delivery system
Present the content of data in the required
form
Information Users
Span the entire organization
the president for formulating strategies
sales clerks working with customers
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Data Warehouse System
R
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Data Mart資料超市
Databases that hold subsets of data from a
data warehouse that focus on specific
aspects of a company, such as a department
or a business process
Top-down approaches
First warehouse, then subdivided to data mart
Bottom-up approaches
First data mart, then integrated into warehouse
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Data Warehouse & Data Marts
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Components of Data Warehouse
Data gathering
Staging
Repository
Information
Delivery
Management
&
Control
Metadata
Repository
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Staging Area整備區
Extracting 萃取
Transformation轉換
Cleansing淨化: remove inaccuracies and inconsistencies
Standardizing標準化: convert the cleansed data to a
uniform format
Reformatting重格式化
Summarizing摘要化
Loading 上載
Adding new data on a periodic basis
Performing a complete refresh process
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Management and Control
Control data flows
Into the Staging Area
Through the staging area as the various screening
processes are performed
From the staging area to the warehouse data
repository
From the warehouse data repository to information
delivery
From metadata repository to information delivery
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Data Repository
Data content
Geographic
Demographic
Activities
Interact with the org. by making purchase, returning items,
making inquires, seeking services
Psychograghic
Behavior
Data Characteristics
Data types
Data Granularity細化程度
Data Hierarchies架構
Data dimensions:如從區域、產品、月份
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Metadata Repository
Data about data
Data dictionary is a form of metadata
Metadata Repository describes the flow of
data from the time the data is captured until it
is archived.
Used by users,
Maintained by system developers,
In most cases, metadata exists as a
byproduct of system development efforts.
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Data Warehouse Development
系統分析
需求規格
概念設計
邏輯設計
實體設計
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Data Warehouse Security
Network security: mechanisms such as firewall to
restrict access to network and servers.
Data security: Users must be screened so that
which files may be made available, and which
operations can be performed on the file data.
Data warehouse security: further check to allow
access a particular tables, records, and even fields
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