Learn more about the macroeconomic influences that may affect your data quality strategy and the 4 practical steps of overcoming them.

1. Meeting macroeconomic influences with
an effective data strategy
Rebecca Hennessy
Director of Market Strategy
Experian, Data Quality
Powering opportunities
…and helping to create a better tomorrow

2. 2 © Experian
Research Methodology
06/04/2017 All rights reserved | Meeting macroeconomic influences with an effective data strategy
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UK, US, Australia, Brazil, France,
Germany, Spain and Singapore
,
Small and enterprise size firms
All respondents were screened to
ensure they maintain at least one
database internally
1431 professionals

3. 3 © Experian
Consumer Attitudes
Consumers are increasingly aware of the value
of their data, but also the vulnerability
06/04/2017 All rights reserved | Meeting macroeconomic influences with an effective data strategy
3
Volume Velocity Variety
Veracity Vulnerability Value

4. 4 © Experian
Consumer Attitudes
Consumers are increasingly aware of the value of their data, but also the vulnerability
06/04/2017 All rights reserved | Meeting macroeconomic influences with an effective data strategy
4
72% of businesses agree that data
quality issues impact consumer trust
and perception
64% report that inaccurate data is
currently undermining their businesses
ability to provide an excellent customer
experience
By 2020, 70% of businesses believe
that the majority of sales decisions will
be driven by customer data
76% of organisations believe that to be
transparent with data practises, an
effective data management process needs
to be in place

5. 5 © Experian
Regulation
Rebuilding consumer trust
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51% of respondents cited that they
don’t believe their current data
governance programme is effective
70% agree that increasing regulation
has driven the need for better data
analytics and management
52% of respondents said the impact of not
trusting their data was an increased risk of
non-compliance and ability to meet
regulation

6. 6 © Experian
Data Maturity
Current data regulations
06/04/2017 All rights reserved | Meeting macroeconomic influences with an effective data strategy
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Aware and Don’t
Know
Reactive Proactive
Optimised &
Governed
People Patchy Good Measured Accountable
Process Ad-hoc Dept silos Clearly owned Monitored BAU
Technology Manual Dept tools
Discovery &
analysis
Platform
approach
14%
39%
13%
34%

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Inaccurate data is resulting in numerous inefficiencies, with businesses citing wasting
valuable time:
• 37% preparing data
• 37% standardising data
• 27% manually cleaning data
A large number of business
also said they still rely
on IT for data requests
The impact of immaturity
Inaccurate data causing inefficiencies
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8. 8 © Experian
Data Ownership
Appointing a senior leader and taking responsibility
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9. 9 © Experian
Single version of a customer
Unified and accurate
06/04/2017 All rights reserved | Meeting macroeconomic influences with an effective data strategy
81% of businesses still report challenges in
achieving a single customer view
57% of consumers accept that it is up
to them to tell companies when their
details change*
37% of businesses claim they will be
working on data cleansing projects in the
next 12 months
*Experian/Data IQ GDPR, Data Preparation Report (May 2016) https://www.edq.com/uk/resources/papers/general-data-protection-regulation/

10. 10 © Experian
4 practical steps
Identifying the right people, processes and technology in 2017
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Clear senior leader to provide
direction and strategy
Data quality is business critical
Data is everyone’s
responsibility
Empower people with easy to
use technology

11. 11 © Experian 06/04/2017 Private and confidential Presentation Title
2017 Global Data Quality Research
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