19. SYLLOGISM PART 1
Data Protection is a Quality
Management System applied to the
collection, management, use, and
disposal of personal data.
(e.g. BS10012:2009)
22. LINKING TO DATA QUALITY
EU Directive 95/46/EC defines “Data
Protection” principles as
“Data Quality Principles”.
23. WHAT IS “INFORMATION QUALITY”?
The degree to which information and data can be
a trusted source for any or all required uses.
The degree to which data and information meets
the specific needs of specific customers.
Consistently meeting or exceeding knowledge
worker/end customer expectations.
27. Ease of Use &
Data Specification Maintainability
Data Integrity
Data Coverage
Fundamentals
Duplication Presentation Quality
Perception, Relevan
Accuracy
ce, Trust
Consistency &
Data Decay
Synchronisation
Timeliness &
Transactability
Availability
Danette McGilvray’s Data Quality Dimensions.
31. HIQA’S DEFINITION OF DATA QUALITY
Data Quality refers to data that is
accurate, valid, reliable, relevant, legible, comp
lete and available in a timely manner to
decision makers for healthcare delivery and
planning purposes.
34. SYSTEM OF PROFOUND KNOWLEDGE
Theory of
Optimisation
Theory of Theory of
Psychology Knowledge
Theory of Variation
(c) Castlebridge Associates
35. THEORY OF KNOWLEDGE
Knowledge cannot exist with out a theory
Experience is not the same as theory
Theory shows cause and effect
Theory allows for prediction
(c) Castlebridge Associates
36. THEORY OF KNOWLEDGE
“Best Efforts? Imagine the
chaos if everyone ran
around trying their best
without a theory of
knowledge to inform their
actions. Disaster”.
(c) Castlebridge Associates
38. THEORY OF KNOWLEDGE
I could copy my maths homework
I’d get THAT problem right
But would I understand the
principles to apply to a different
problem?
39. KEY LESSON
Effective implementation of Quality Systems
requires an understanding of the “Theory of
Knowledge” and the fundamental principles of
that Quality system.
Blind adoption of tools, techniques, and
templates without the Theory of Knowledge
tells you “WHAT” but not “WHY”.
40.
41. NON-LINEAR LIFE CYCLE
Apply
Plan Obtain Store/Share Dispose
Maintain
Based on English 1999 and McGilvray 2008
43. INFORMATION CHAINS – THE FOCUS
An information chain is effectively a chain of processes through which
information flows to achieve an objective in the organisation.
Only by understanding how information flows can you understand how
the quality of the information
• Affects the organisation
• Is affected by the Organisation
44. If you can't describe what
you are doing as a
process...
... You don’t know what you
are doing.
W. Edwards Deming
45. THIS IS NOT A PROCESS MAP OR
INFO CHAIN DESCRIPTION
• We do this.
• Then Martin in Accounts does that.
• Then Betty in Receivables does this other thing
• Then it comes back to us
• Then something else happens.
• 4th Thursday of month the Jaberwock audits.
46. If I had wanted to
know what you did
on your holidays,
I’d have asked.
Process Improvement Lead, Telco industry
47. INFORMATION CHAINS
Information Flow
Some Output Some Output
Some Some
Some Action Some Action Some Action
Input Output
By someone By someone By someone
That becomes That becomes
an Input an Input
53. SOME INTRODUCTORY COMMENTS
Danette’s view on Information
• Information must be consciously managed as a resource
(a source of help to the business) and
• As an asset (a source drawn on by the business to make a
profit)
• Information is a product of processes and activities in
organisations.
Danette’s Definition of Information Quality
• the degree to which information and data can be a trusted
source for any/all required uses
61. INFORMATION QUALITY PROGRAMS
1. Should be based on proven Quality Management Principles
2. Make use of objective statistical measurement of quality
3. Emphasise elimination of process defects to remove root
causes of errors
4. Should be cyclical and based on philosophy of continuous
improvement
5. Should emphasise the development of a Quality Culture that
pervades the organisation.
6. The focus must be on improving the system of
production, eliminating common causes of defect, and
preventing errors
7. Scrap and rework is not Information Quality Management
63. SUMMARY (OF THEORY)
Data Protection & Information Quality are
closely linked disciplines
Understanding your Processes is key
Quality has to be built in
Inspecting defects out is not Quality
POSMAD Information Life Cycle gives context
You can measure Quality of Information
(across many characteristics)
70. THE IAIDQ
• International Association for Information & Data Quality
• Founded in 2004
• Leading Professional body for Information/Data Quality
practitioners.
• 500+ members in 15 countries
• Active in Ireland through collaboration with the Irish Computer
Society (the “IQ NETWORK”)
71. D2:
Information
Quality
D1: Environment
Information and Culture
Quality
Strategy and D3:
Governance Information
Quality Value
and Business
Impact
D6:
Sustaining
Information
Quality D4:
Information
Architecture
D5: Quality
Information
Quality
Measurement
and Improvement
