DAMA Ireland - Data Trust event 9th June 2016

DAMA Ireland
Networking Event #3
Thursday 9th June 2016
Bank Of Ireland - 1 Grand Canal Square
Do we need a Data Trust / Data Quality Mark?

DAMA Ireland (A reminder of who we are)
Data Management Association (DAMA) International is a non-profit, vendor-
independent, global association of technical and business people dedicated to
advancing the concepts and practices of information and data management.
DAMA Ireland is the local Irish “chapter in formation" of DAMA International,
established to enable data professionals in Ireland to network and discuss non-
technical questions of data and information resource management.
DAMA Ireland will provide a regular forum for local discussion among users who
want to manage data as a corporate resource, regardless of hardware or software
environment.

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Data is useful.
High-quality, well-understood, auditable data is priceless.
– Ted Friedman, Gartner
We all have the right to expect the data we need to do
our job and to trust that it’s fit for the purpose for which
we need it.
– Ken O’Connor
Kenoconnordata.com 2016

As food consumers, we’re provided with facts about the
food we buy – it’s the law
Ingredients – the basic facts
Allergy Information –
Can mean life or death to some
Nutrition Information
Enables us to make “informed
choices” about the food we buy
We don’t all use the food facts given to us –
Those who choose/need to control their diet
are in a position to do so
4

We know where food such as beef comes from…
Traceability –
Hugely important to restore confidence in beef
following the Mad Cow disease (BSE) crisis
I first presented this slide in Nov 2012…
Feb 2013 - “Horsemeat in burgers scandal” broke.
Retailers couldn’t claim ”We just sell the burgers”
They needed to understand their supply chain to
identify and resolve the root cause of the problem…
which they did.
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We know that our food has not been tampered with,
since it left its “trusted source”
Tamperproof lids and seals –
Introduced following Tylenol poisonings
killed 7 people in Chicago in 1982
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What do we know about the data we depend on?
• Data consumers are seldom provided with facts about the data feeding their
critical business processes
• Most data consumers assume the data input to their business processes is
“right”, or “OK”.
• They often assume it is the job of the IT function to ensure the data is “right”.
• Almost all data consumers are also data providers – unaware of their role in the
data supply chain
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Your data fuels your internal business functions…
You would like it to be easy to find, trust and access.
Your
Data
Sales
Marketing
Reporting
Operations
Distribution
HRRisk
Finance Etc
This is the desired
‘target state’
for organisations
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Source "Data Simplexity" Author: Michael Brackett - 2011
People with
New Data
Check First
People Find
Trust and
Access Data
Existing Data
Resource
Readily Shared
New Data
Integrated
and
Documented
New Data
Created When
Necessary
People Come
Looking for
Data
Michael Brackett calls the desired target state in
organisations world-wide: “The Comparate Data Cycle”
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Marketing
Data
Sales Data
Risk
Data
Finance
Data
Etc
Data
HR
Data
DistributionData
Reporting
Data
Operations
Data
Too often, business functions develop systems in
isolation, with their own unique data stores…
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Data is shared “point to point” between business
functions, which is difficult to maintain…
Marketing
Data
Sales Data
Risk
Data
Finance
Data
HR
Data
DistributionData
Reporting
Data
Operations
Data
This is the likely
‘current state’
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The current state… bad,
and getting worse!
Source "Data Simplexity" Author: Michael Brackett - 2011
People Come
With Own
Data
Can’t Find
Don’t Trust
Can’t Access
Data
People
Uncertain
About the Data
Data Not
Integrated
Or
Documented
People Create
their own Data
People Come
Looking for
Data
Michael Brackett also has a name for the current state
which he calls: “The Disparate Data Cycle”
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Demand for data is growing at an increasing pace, for
regulatory and business purposes
Demand for data – opportunity or minefield?
BASEL III
Solvency II
MiFid
AML TX
Monitoring
New System
Migration
EMIR
IFRS 9
BCBS 239
New Reporting
Requirement
PSD II
AnaCredit
Central Credit
Register
Etc.
Data
Analytics
Digital
Transformation
13

Organisations with better #Datamanagement will thrive
– fast fish will devour slow fish
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To satisfy the growing demand for data you must build
trust in your data and replace chaos with order…
To succeed, you must take control of your information supply chain
Your first step is to fully understand, and document, your data resource:
1. The data you require
2. The data you have (data names, definitions etc.)
3. Where it’s stored, where it comes from, where it goes, what happens to it
4. Who “owns” it
5. What it should contain (business rules)
6. What it does contain (data quality metrics)
7. The mapping and transformations that transform chaotic data to ordered data
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2 3 4
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5
6
4
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Brackett calls this critical information:
“Data Resource Data”, documented
in a “Data Resource Guide”.
He believes the more usual term
“Metadata” should not be used.
“The terms meta-
data and metadata have been used,
misused, and abused to the point that
the real meaning is unclear” 15

Tom Redman (aka The data doc) summarises perfectly
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Source: Tom Redman http://www.dataversity.net/dama-slides-what-does-manage-data-assets-really-mean/

Redman then explains what is required
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2
3
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Source: Tom Redman http://www.dataversity.net/dama-slides-what-does-manage-data-assets-really-mean/

Cultural change is required… We all have a “duty of care”
for the data we consume and provide
Everyone in your organisation must understand:
• Why the data is ultimately required
• The importance of their role & their dependence on others
• Where they get their data from and who they provide it to
• What the data should contain and what it does contain
• If the data is not right – they should raise a data defect !
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Learn from the Chilean mine rescue…
Trace a single critical data element end to end through your data supply chain –
This will highlight the challenges you must overcome
Perform a capability assessment
• How do we assign data ownership?
• How do we agree data definitions?
• How do we specify business rules?
• How do we measure data quality?
• How do we govern the above?
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Ken.. I really like the idea of the Data Quality Mark.
I feel business data assets are far more imperfect
than businesses realise.
Dave Sammon: Director of MSc in Data Business: UCC & IMI
Using Tom Red man's simple Friday Afternoon Measurement we have witnessed DQ
scores as low as 8% and in some cases 0%. Much to the disbelief of the business.
In a study we conducted in 2013. 83% of businesses
rarely, if ever, calculated the cost of their bad data.
Assuming it is better than it is perhaps.
With data assets locked in the IT assets the unknown quality of the data is very
much the reality.

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Do we need a Data Trust / Data Quality Mark?
DAMA Ireland
Panel Discussion
With
Ken O’Connor – Data Management Consultant
Ronan Brennan (CTO Moneymate)

DAMA Ireland - Data Trust event 9th June 2016

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