1 mis-information excelence
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This document discusses the importance of Total Information Quality Management (TIQM). It provides examples of large companies that incurred significant costs due to failures in their information systems due to poor quality. TIQM aims to manage information quality holistically using proven quality management approaches. It focuses on assessing information quality capabilities, continually improving information processes, and transforming organizational culture to value information customers and producers. The goal is to eliminate waste caused by poor quality information and enable efficient and effective mission accomplishment.
![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](https://image.slidesharecdn.com/1-mis-informationexcelence-140503190603-phpapp01/85/1-mis-information-excelence-16-320.jpg)
1 mis-information excelence
- 2. 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
- 4. 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
- 5. 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
- 6. 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.
- 7. 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.
- 8. 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
- 9. 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,"
- 11. 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
- 12. 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.
- 13. 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
- 14. 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.
- 15. 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."
- 16. 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