Ridi Ferdiana Version 1.0.1

Company IS Failure Costs

AT&T CRM $100 M

Ford Purchasing System $400 M

HP ERP $160 M

Mc Donald’s Purchasing System $100 M

NIKE SCM System $100 M

Poor Quality Information

Systems Poor Quality

Business Information

Assuming that Enterprise is single system

Management creates performance measures and reward systems that compromise quality for speed and cost-reduction

Not to go to find and fix the Root Causes of the broken processes

Management focuses on the needs of the investors over the needs of the end-Customers

Falling into the techno-trap of believing their job was to put in place the information technology infrastructure

Caught up in the ever-accelerating technology "innovation" spiral, they were not able to reason through what is the purpose

That application "solutions" sic. "systems" is their product

Never ignore potential waste

“Inspect and Correct" model of data profiling and data "cleansing“

Total Information Quality Management by designing quality and error-proofing into the processes.

Addresses a holistic approach to managing Information Quality and that is based on proven Quality Management Systems (QMS).

E.g. Deming, Juran, Crosby, Imai (Kaizen), the Baldrige Criteria, and Six Sigma.

to provide a means for organizations, whether in the private or public sector, whether large or small, to accomplish their missions efficiently and effectively to delight their Customers by eliminating process failure, recovery from failure, Information Scrap and Rework or waste of resources caused by poor quality information

Assessment: Measure Information Quality capability and information processes to identify process capability (degree of defects)

Betterment: Continually improve processes

Culture Transformation: Transform the culture of the Enterprise to value "Information Customers" and empower "Information Producers,"

Quality of "Information Product Specification" data (data definition, valid values, business rule specifications, information model correctness, and database design stability, flexibility, and reuse)

Quality of Information Content (accurate and complete)

Quality of Information Presentation (relevant, objective, intuitive)

Quality Culture transformation to sustain Business Performance Excellence through Information Excellence as a result of Continuous Information Process Improvement

Data Name: Represents an attribute or characteristic about a real-world object or event the enterprise needs to know.

Data Definition: A clear definition of the characteristic of the real-world object or event

Valid Value Set: The complete set of discrete values for the attribute

Data Value Format: The structure of the value, such as NNN-NN-NNNN for a U.S. Social Security number

Business Rules: Clear and correct specification of rules that govern integrity of the valid values

Derived Data Calculation Formula: The correct algorithm or formula used to calculate a fact of derived data

Information Model: Represents the objects and events and the attributes — or facts — that the enterprise needs to know in order to be successful and accomplish its mission.

Data Content Quality is equivalent to the Quality of Raw Materials in manufacturing.

Defects in the content cause defects in the Information Presented to Knowledge Workers or in applications that use the defects in their calculations or processing, causing them to fail

relevant information must be accessible, available, and presented in a timely, intuitive, and un-biased way, enabling

Knowledge Workers to understand the significance in the Information, so they can take the right action or make the right decision.

IQ is quality of data in databases

IQ is "data cleansing."

IQ is data profiling or data measurement

IQ is "fitness for use" or "fitness for purpose."

The Quality of Information is needed to build system and maintenace the business

TIQM is about quality of people. "A company able to build quality into its people is already halfway toward producing Quality [Information] Products

TIQM is Quality System that values the information Customer in term presentation, content, and data