research approach for measuring information quality in ...mitiq.mit.edu/iciq/documents/iq conference...

HSG / IWI / CC DWS

Markus HelfertInstitute of Information Management

University of St.Gallen

[email protected]

Data Warehousing Strategie

Renate RadonEpicur GmbH

Germany

[email protected]

Research Approachfor Measuring Information Quality

in Data Warehousing

HSG / IWI / CC DWS 2


EPICUR – Competencies

Finance & Administration

Payroll

Project Mgt.

Engineering

Service Mgt.

Discrete Man.

Core Competencies

Shared Serv

ices Supplier Integrator Customer

E-Services

Business Bus

Intranet

Extranet

Internet CustomerRelationshipManagement

Adding Economic Value Business Intelligence Business Networking



Competence CenterData Warehousing Strategy

Ø Business Case / Cost Benefit AnalysisØ DWH IntroductionØ Organizational Concepts

Ø Information Requirement AnalysisØ Data and Information QualityØ Operational Data Warehouse

Research Project covering areas of



Content

Data Warehouse - turntable for business process integration

Information Quality and Information Characteristics

Quality Function Deployment

An Example: Process of Product Configuration

Further Research

Method-based Information Quality Management



Turntable for End-To-EndBusiness Process Integration

Str

uctu

re P

roce

sses

Transactional Processes

Information Processes

E-BusinessProcesses

Data Warehouse

Marketing

§ Internet Marketing

§ Marketing Analysis

Sales

§ Internet Sales

§ Configuration

§ Business Part-ner Collaboration

. . .

Service

§ Service Interaction

§ Field Service

Customer RelationshipManagementn Provide value-adding

information at any time,any location, any level of detail, any individual request

n Decompose traditionalvalue chains and recomposeaccording to informationchains

n Add value to your busi-ness partners by providingreliable, high-qualityinformation Operational Processes



Traditional Products + Information = Solution

Pricing Conditions

Forms e.g. Proposals,Invoices, Payments,etc.

Media

BusinessPartners

Competitors

Others

Electronic Catalogue

Configuration, Billing, Payment

Special Offers

Purchasing

Announcements

Pro

duct

Dev

elop

men

t

Pro

duct

Info

rmat

ion

Man

ufac

turi

ngM

etho

ds

Tech

nica

l K

now

-How

Sal

es

Inve

ntor

y M

anag

emen

t

Ass

ortm

ent

Dis

trib

utio

n

Con

tact

M

anag

emen

t

Pro

posa

lM

anag

emen

tt

Ser

vice

Man

agem

ent

Influ

ence

rs

Data Warehouse



Information Quality

Characteristics of information whichmeet user requirements and therebyprovide user satisfaction

Absence from informationdeficiencies that result in userdissatisfaction

Framework to specify information requirementsand measure information supplyon a uniform and consistent base (set of relevant information characteristics)

Information Process p owned by user u

Information supply for process p and user u

Information requirements for process p and user u

=Correspond?

Information sources

One accepted approach is focused on user and product fitness for use (Juran 1998)



Information System

Information, Data and Signals

Signals (Characters, symbols)

Data

Information

Syntax

Semantic

Pragmatic

Real World

Example

09/03/00

09/03/00 DD/MM/YY

String containing numbersNN/NN/NN

„Expected Date, when the productcan be delivered to the customer“

Application

Interpretation

Representation

Expected Delivery Date

Product configuration



Information Quality Characteristics

Syntax

Semantic

Pragmatic

Syntactical correctness, consistentrepresentation,

security, accessibility

Interpretability, accuracy, consistent datavalues, complete data values, precise data

definitions, objective, believability, reliable, easyto understand

Relevance, completeness, timeliness

Semiotic Level Information Quality Characteristics

Research QuestionsØ Precise Definition of information characteristicsØ Correlation between user requirement and information characteristicsØ Methods and techniques for measuring information characteristics

Measurement

InformationProcess(Usage)

Real World(Comp. with

experience andhistorical data)

SyntacticalStandards andAgreements



Method-based IQM

Method-based IQM

Organizationalstructure(roles and

responsibilities)

Processorganization

MethodsTechniques and

Tools

Standards, Rulesand Guidelines

Definition of information characteristics and assess

quality goals

Identify and Implement steps to improve continuously

information quality

Quality Estimation and Measurement

User Requirements

Causes

Quality deficiencies

Consequences

AnalyzeA

naly

ze

Information Process

Information Supply



Quality Function Deployment

Information characteristics

Userrequirements

Measurementbased on userrequirements

Measurement based onInformation characteristics

Target value

Correlation ofcharacteristics

Priority

Correlation

Ø Introduced by Akao in Japan in 1966 (Manufacturing Sector)Ø Customer requirements as focusØ Method for quality planing



Configuration as an example forInformation Quality Measurement

Load Know-ledge Base

Assign characteristic values

Check complete-ness

Multi-levelinteractiveconfiguration

SaveConfi-guration

PriceConfi-guration

§ Classification

§ Materials

§ Dependencies

Customer-designedProductDefinition

§ Customer-designed&consistency-provenProduct

§ GraphicalProduct Structure

Customer-designedProduct

Customer-individuallyconfigured &priced Product

Know-ledgeBase

Prices &Conditions



Load Know-ledge Base

KnowledgeBase

Availibility ofProductInformation

Delivery

Date

CountryspecificFeatures

ProductDescrip-tion

ProductVersion

Configuration as an example forInformation Quality Measurement

Completeness

Relevancy

Relevancy

Completeness

Timeliness

Semantic

Pragmatic Information Characteristics

Syntactic



Correlation

Correlation

Measurement

Measurement

Example “Product Configuration”

Delivery Date (always)

Product description (if possible)

Availability of product information

Relevancy Completeness Timeliness

X

XX

X

Precise Definition for Delivery Date

Correct Delivery Date (no default value)

One Delivery Date for a product

Interpretability Accuracy Complete data Values

Consistentdata Values

X X X

X X

X

X

unusedinformation

additional informationrequests

not timely availableinformation

Non interpretabledata values

Incorrect datavalues Empty values Inconsistent

data values% of

% of

Pragmatic

Semantic

...

...



Further Research

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

Ø Methods and techniques for measuring information characteristics

Ø Methods to apply the Model for specific information processes (e. g. ProductConfig.)

Ø Validation of research results in practical projects (e. g. Customer RelationshipManagement)

‚Model of Information Quality‘ as basic framework

research approach for measuring information quality in ...mitiq.mit.edu/iciq/documents/iq conference...

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