Transcript Background: Stakeholder management is a key part of our

Open data and data-analytics
Sally Howes – Executive Leader for Digital and Innovation
([email protected])
Phil Bradburn – Data-analytics expert
([email protected])
www.nao.org.uk
@NAOorguk
Tuesday 17 June 2014
Open data landscape
Open data index
Chloropleth map of Open Data Index scores. Darker colours reflect higher scores, whereas grey
indicates an absence of data.
Based on 2013 data collected by Open Knowledge Foundation https://index.okfn.org/
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Open data index
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Contents
• Strategic context
• How SAIs can respond
• Creating value for:
• Parliament and entities that we audit
• our organisation
• our people
• Workshop
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External drivers and changes
Changes across the world are influencing the strategic context for
government and public services – and therefore audit.
Open data and digital transformation of government
Changing expectations
of government/interaction
with citizens
Globalisation and
greater connections
Open policy making
A rapidly
changing
environment
Growth and strength
of global audit firms
New skills, blended
skill-sets and backgrounds
of workforce
Technological change
and computing capability
Growing range of data sources and linked data
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Public services and government
Major changes in how government operates, interacts with citizens,
and in the capabilities in drawing insights from data.
Data-science capabilities driving policy
Open policy making, open
data and transparency
Transforming
interaction between
citizens and state
New skills and technology
needed to run government
Changes in public
services and
government
Data and APIs for people
to use and businesses
to build on
Appetite to reform and
challenge status quo
Different concepts of
public service
Understanding a new threat and security landscape
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What does it mean for SAIs?
Exploit data analytics in our assurance work
Trialling innovative data-analytics throughout our assurance cycle
Publishing more sophisticated data-visualisation in assurance products
Reviewing audited entities use of data and data-analytics
Develop our Skills and capabilities in Data-analytics
Learning & Development – using formal training, learning from others and on the job
Developing a skills framework for data-analytics and mapping our people against it
Spreading the skills and knowledge that our people already have through tutorials
Practitioners from other organisations to raise awareness of what is possible
Leverage our IT Infrastructure and software
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Bringing together and linking up datasets in a data-service
Making available the latest analytics software
Using additional server capability to speed up complex analytics
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Creating Value – for Parliament and
entities that we audit
Greater value - Greater insight and improved ability to draw audit conclusions
Robustness - potential to exploit data (admin, transactional) in assurance work
Innovation - Greater innovation, demonstrating art of the possible
www.nao.org.uk/report/maternity-services-england
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www.nao.org.uk/report/emergency-admissions-hospitals-managing-demand
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Creating Value – for our Business
Greater efficiency / economy – use it to drive down costs
Maintaining our credibility – demonstrating leadership on data-analytics
Data-led – Use data-analytics to transform our own business from the inside
Expertise – developing our organisational capability and impact
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What skills do we need for this new world?
We need to change the
profile of our people
We need more people who
have expertise in this area –
bringing together data skills,
analysis skills, and
IT/systems knowledge
Data handling
I.T. and
systems
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Analysis
and audit
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The types of people we need to get
We need to look to the
private sector
Leadership
Strategic awareness of
trends worldwide
Leading edge thinking
identifying innovative
approaches to data
Developers
Attend hack events
Create APIs
Build apps
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We need to think like a startup generating revenue from
data and have the same
mind-set to create innovative
products
Data scientists
Multi-disciplinary
knowledge
Familiar with private sector
Highly skilled in latest tools
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Workshop
• Current position: Where are you on the spectrum of
change? What is the urgency for you to respond to this
new world?
• What are you doing? What examples do you have of
using big/open data? What value have you created?
What were the challenges?
• What next? What are the implications for the skills /
people you have or need to recruit? What steps should
you take?
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Prompts
Issues to consider
Implications – What does open data and
digital government mean for the audit
environment?
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Access to data?
Quality issues and validation?
The type of audit questions?
How audit is carried out?
Opportunities – What added value can
• What insights can be developed for
SAI’s create if it maximises the use of open
financial audit and vfm audit?
data – for clients, your SAI, your people?
• Robustness of audit conclusions?
• Greater efficiency in conducting audit?
• Skills and organisation capability?
• Engagement with Parliament?
Barriers – What are the issues, key risks,
and problems to address in increasing our
application of big data and analytics?
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Data-quality, and access to data?
Skills and capability?
Technology?
Culture / Politics?
Definitions
Transparency – (UK) a pledge to make
government more open with the objectives to
strengthen public accountability, support
public service improvement by generating
more comparative data and increasing user
choice; and stimulate wider economic growth
by helping third-parties to develop products
and services based on public sector
information.
Business intelligence (BI) is a set of
theories, methodologies, architectures, and
technologies that transform raw data into
meaningful and useful information for
business purposes.
Big Data is a blanket term for any collection
of data sets so large and complex that it
becomes difficult to process using on-hand
database management tools or traditional
data processing applications.
Data-Analytics – a process of inspecting,
cleaning, transforming, and modelling data
with the goal of discovering useful
information, suggesting conclusions, and
supporting decision making. A further
development of traditional analysis
approaches.
Open data is the idea that certain data
should be freely available to everyone to use
and republish as they wish, without
restrictions from copyright, patents or other
mechanisms of control.
Digital Transformation – redesigning digital
services to save money and put people’s
needs first, and respond to increasing
expectations of the public for quick and
convenient services.
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Workshop
Current position:
Where is your SAI on the spectrum of change?
(Move to flipchart and place your country flag where you think you
are)
What is the urgency for you/SAI to respond to this new world?
(At flipchart place your car as appropriate on direction of travel)
10 minutes
What are you doing?
(In your tables)
What examples do you have of using big/open data?
What value have you created?
What were the challenges?
Write examples on post-its
Move to flipchart and add post-its
15 minutes
(10 discussing, 5 adding post-its)
What next?
(In your tables)
What are the implications for the skills / people you have or need to
recruit?
What steps should you take?
Write examples on post-its
Move to flipchart and add post-its
15 minutes
(10 discussing, 5 adding post-its)
Rounding up
5 minutes
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