Data Warehousing Strategie
Research Approach
for Measuring Information Quality
in Data Warehousing
Markus Helfert
Institute of Information Management
University of St.Gallen
Renate Radon
Epicur GmbH
Germany
Markus.Helfert@unisg.ch
datawarehouse.iwi.unisg.ch
Renate.Radon@epicur.net
www.epicur.net
 HSG / IWI / CC DWS
EPICUR – Competencies
Data Warehousing Strategie
Finance & Administration
es
c
i
Payroll erv
S
d
e
Project Mgt.
ar
h
Service Mgt.
S
Engineering
Internet
Extranet
Customer
Relationship
Management
Supplier
Integrator Customer
Intranet
Discrete Man.
Core Competencies
Business Bus
E-Services
Adding Economic Value
 HSG / IWI / CC DWS
Business Intelligence
Business Networking
2
Competence Center
Data Warehousing Strategy
Data Warehousing Strategie
Research Project covering areas of
Ø Business Case / Cost Benefit Analysis
Ø DWH Introduction
Ø Organizational Concepts
 HSG / IWI / CC DWS
Ø Information Requirement Analysis
Ø Data and Information Quality
Ø Operational Data Warehouse
3
Content
Data Warehousing Strategie
Data Warehouse - turntable for business process integration
Information Quality and Information Characteristics
Method-based Information Quality Management
Quality Function Deployment
An Example: Process of Product Configuration
Further Research
 HSG / IWI / CC DWS
4
Turntable for End-To-End
Business Process Integration
information at any time,
any location, any level
of detail, any individual
request
n Decompose traditional
value chains and recompose
according to information
chains
n Add value to your business partners by providing
reliable, high-quality
information
 HSG / IWI / CC DWS
Sales
Customer Relationship
Management
E-Business
Processes
Information
Processes
Transactional
Processes
§Internet Sales
Marketing
§Configuration
Service
§Internet
Marketing
§Business Partner Collaboration
§Service
Interaction
§Marketing
Analysis
...
§Field Service
Data Warehouse
Structure Processes
n Provide value-adding
Data Warehousing Strategie
Operational Processes
5
Traditional Products + Information = Solution
Data Warehousing Strategie
Electronic
Catalogue
Media
Announcements
Business
Partners
Purchasing
Pricing
Conditions
Special Offers
Forms
e.g. Proposals,
Invoices, Payments,
etc.
Competitors
Others
Configuration, Billing, Payment
 HSG / IWI / CC DWS
Influencers
Service
Management
Proposal
Managementt
Contact
Management
Distribution
Assortment
Inventory
Management
Sales
Technical
Know-How
Manufacturing
Methods
Product
Information
Product
Development
Data Warehouse
6
Information Quality
Data Warehousing Strategie
One accepted approach is focused on user and product fitness for use (Juran 1998)
Characteristics of information which
meet user requirements and thereby
provide user satisfaction
Absence from information
deficiencies that result in user
dissatisfaction
Information sources
Information Process p
owned by user u
Information supply
for process p and user u
=
Correspond?
Information requirements
for process p and user u
Framework to specify information requirements
and measure information supply
on a uniform and consistent base (set of relevant information characteristics)
 HSG / IWI / CC DWS
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Information, Data and Signals
Data Warehousing Strategie
Example
Information System
Pragmatic
Information
Product configuration
Application
Semantic
Data
09/03/00
DD/MM/YY
„Expected Date, when the product
can be delivered to the customer“
Interpretation
Syntax
Signals
(Characters, symbols)
09/03/00
String containing numbers
NN/NN/NN
Representation
Real World
 HSG / IWI / CC DWS
Expected Delivery Date
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Information Quality Characteristics
Data Warehousing Strategie
Semiotic Level
Information Quality Characteristics
Measurement
Pragmatic
Relevance, completeness, timeliness
Information
Process
(Usage)
Semantic
Interpretability, accuracy, consistent data
values, complete data values, precise data
definitions, objective, believability, reliable, easy
to understand
Real World
(Comp. with
experience and
historical data)
Syntax
Syntactical correctness, consistent
representation,
security, accessibility
Syntactical
Standards and
Agreements
Research Questions
Ø Precise Definition of information characteristics
Ø Correlation between user requirement and information characteristics
Ø Methods and techniques for measuring information characteristics
 HSG / IWI / CC DWS
9
Method-based IQM
Data Warehousing Strategie
Information Process
Information Supply
User Requirements
Definition of information
characteristics and assess
quality goals
Quality Estimation and
Measurement
Method-based IQM
Organizational
structure
(roles and
responsibilities)
Process
organization
Standards, Rules
and Guidelines
Methods
Techniques and
Tools
 HSG / IWI / CC DWS
Quality deficiencies
Analyze
Identify and Implement
steps to improve continuously
information quality
Analyze
Causes
Consequences
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Quality Function Deployment
Data Warehousing Strategie
Ø Introduced by Akao in Japan in 1966 (Manufacturing Sector)
Ø Customer requirements as focus
Ø Method for quality planing
Correlation of
characteristics
Information characteristics
Priority
User
requirements
Correlation
Measurement
based on user
requirements
Measurement based on
Information characteristics
Target value
 HSG / IWI / CC DWS
11
Configuration as an example for
Information Quality Measurement
Data Warehousing Strategie
§Classification
Knowledge
Base
Check
completeness
Assign
characteristic
values
Load Knowledge Base
Customerdesigned
Product
Definition
§Materials
§Dependencies
§Customerdesigned&
consistencyproven
Product
§Graphical
Product Structure
Save
Configuration
Price
Configuration
Customerindividually
configured &
priced Product
 HSG / IWI / CC DWS
Prices &
Conditions
Multi-level
interactive
configuration
Customerdesigned
Product
12
Configuration as an example for
Information Quality Measurement
Data Warehousing Strategie
Syntactic
Load Knowledge Base
Semantic
Pragmatic
Knowledge
Base
Completeness
ion
at
rm
fo
In
Relevancy
Relevancy
Completeness
Date
Product
Description
Timeliness
s
tic
ris
te
ac
ar
Ch
Delivery
Availibility of
Product
Information
Country
specific
Features
Product
Version
 HSG / IWI / CC DWS
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Example “Product Configuration”
Data Warehousing Strategie
Pragmatic
Relevancy
Delivery Date (always)
X
Availability of product information
...
% of
unused
information
Interpretability
Semantic
Precise Definition for Delivery Date
X
...
 HSG / IWI / CC DWS
Non interpretable
data values
X
additional information
requests
Accuracy
not timely available
information
Complete
data Values
X
n
o
i
t
la
e
r
rX
o
C
One Delivery Date for a product
% of
n
o
i
t
a
X
l
e
r
r
Co
X
Correct Delivery Date (no default value)
Measurement
Timeliness
X
Product description (if possible)
Measurement
Completeness
Incorrect data
values
Consistent
data Values
X
X
Empty values
X
Inconsistent
data values
14
Further Research
Data Warehousing Strategie
Ø Generic “House of Quality” for each semiotic level
Ø Integration of level specific “Houses of Quality” in a “Model of Information Quality”
Ø Relations between requirements, characteristics and semiotic levels
‚Model of Information Quality‘as basic framework
Ø Methods and techniques for measuring information characteristics
Ø Methods to apply the Model for specific information processes (e. g. Product
Config.)
Ø Validation of research results in practical projects (e. g. Customer Relationship
Management)
 HSG / IWI / CC DWS
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