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DAMA Ireland
Networking Event #3
Thursday 9th June 2016Bank 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 InformationEnables 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
4Kenoconnordata.com 2016
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.
5Kenoconnordata.com 2016
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
6Kenoconnordata.com 2016
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
7Kenoconnordata.com 2016
Your data fuels your internal business functions…You would like it to be easy to find, trust and access.
YourData
Sales
Marketing
Reporting
Operations
Distribution
HRRisk
Finance Etc
This is the desired ‘target state’
for organisations
8Kenoconnordata.com 2016
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”
9Kenoconnordata.com 2016
Marketing
Data
Sales Data
Risk
Data
Finance
Data
Etc
Data
HR
Data
DistributionDataReporting
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
DistributionDataReporting
Data
Operations
Data
This is the likely‘current state’
11Kenoconnordata.com 2016
The current state… bad, and getting worse!
Source "Data Simplexity" Author: Michael Brackett - 2011
People Come With Own
Data
Can’t Find Don’t TrustCan’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”
12Kenoconnordata.com 2016
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
AnalyticsDigital
Transformation
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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 chainYour 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 it4. Who “owns” it5. 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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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
Kenoconnordata.com 2016
Tom Redman (aka The data doc) summarises perfectly
16Kenoconnordata.com 2016
Source: Tom Redman http://www.dataversity.net/dama-slides-what-does-manage-data-assets-really-mean/
Redman then explains what is required
1
2
3
17Kenoconnordata.com 2016
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 ! 18
Kenoconnordata.com 2016
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.
Kenoconnordata.com 2016