open data landscape open data and data-analytics sally howes – executive leader for digital and...
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Open data landscape
Open data and data-analytics
Sally Howes – Executive Leader for Digital and Innovation([email protected])
Phil Bradburn – Data-analytics expert([email protected])
Tuesday 17 June 2014
www.nao.org.uk @NAOorguk
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 landscape
Open data index
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Open data landscape
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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Open data landscape
A rapidly changing
environment
Changing expectations of government/interaction with citizens
Globalisation and greater connections
Open data and digital transformation of government
Technological change and computing capability
New skills, blended skill-sets and backgrounds of workforce
Open policy makingGrowth and strength of global audit firms
Growing range of data sources and linked data
External drivers and changes Changes across the world are influencing the strategic context for government and public services – and therefore audit.
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Open data landscape
Understanding a new threat and security landscape
Open policy making, open data and transparency
Data-science capabilities driving policy
Different concepts of public service
Appetite to reform and challenge status quo
Transforming interaction between citizens and state
Data and APIs for people to use and businesses to build on
New skills and technology needed to run government
Changes in public services and government
Public services and governmentMajor changes in how government operates, interacts with citizens, and in the capabilities in drawing insights from data.
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Open data landscape 7
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• 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
Open data landscape
Creating Value – for Parliament and entities that we auditGreater 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
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www.nao.org.uk/report/maternity-services-england www.nao.org.uk/report/emergency-admissions-hospitals-managing-demand
Open data landscape
Creating Value – for our BusinessGreater 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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Open data landscape
What skills do we need for this new world?
We need to change the profile of our people
Analysis and audit
Data handling
I.T. and systems
We need more people who have expertise in this area – bringing together data skills, analysis skills, and IT/systems knowledge
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Open data landscape
The types of people we need to get
We need to look to the private sector
Data scientistsMulti-disciplinary
knowledgeFamiliar with private sector Highly skilled in latest tools
LeadershipStrategic awareness of
trends worldwideLeading edge thinking identifying innovative approaches to data
DevelopersAttend hack events
Create APIsBuild apps
We need to think like a start-up generating revenue from data and have the same mind-set to create innovative products
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Open data landscape
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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Open data landscape
Prompts Issues to considerImplications – What does open data and digital government mean for the audit environment?
• Access to data?• Quality issues and validation?• The type of audit questions?• How audit is carried out?
Opportunities – What added value can SAI’s create if it maximises the use of open data – for clients, your SAI, your people?
• What insights can be developed for financial audit and vfm audit?
• 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?
• Data-quality, and access to data?• Skills and capability?• Technology?• Culture / Politics?
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Open data landscape
DefinitionsBusiness 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.
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.
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.
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.
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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Open data landscape
Workshop
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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