The document discusses how greater access to and use of data can drive productivity gains and innovation in the financial sector. It notes that Australia has fallen behind other countries in productivity growth and access to data is key to addressing this. The document recommends developing regulatory frameworks to better share and utilize data while protecting privacy, as well as investing in research to analyze new types of data and spatial data in particular. Recognizing both unique challenges and opportunities, it argues that with the right policies Australia can leverage data to boost productivity.
Electrical distributors have been collecting data on product sales and customer orders for years now. But, technology now allows for the collection, synthesis and analysis of information like never before. Under the guise of Big Data, many industries are planning and even projecting outcomes. Most distributors are only utilizing ERP data, but at what cost? This white paper walks through how members of the electrical distribution channel can plan and execute big data projects to maximize not only sales, but also stock, logistics and customer satisfaction.
Big Data: Smart Technologies Provide Big OpportunitiesNAED_Org
Big data has garnered big-time buzz as an effective means to optimize business and measure success. This concise report provides an introduction to the elements of big data and how smart technologies are playing a big role in the information game.
Reasons why health data is poorly integrated today and what we can do about itShahid Shah
Presented at StrataRX 2012: http://strataconf.com/rx2012/public/schedule/detail/25953
While the entire healthcare community, for decades, has been clamoring for, cajoling, and demanding integration of its IT systems, we’re actually in a pretty elementary stage when it comes to useful, practical, health IT systems integration beyond on-premise and in-building hospital software. Our problem in the industry is not that engineers don’t know how to create the right technology solutions or that somehow we have a big governance problem; while those are certainly issues in certain settings, the real cross-industry issue is much bigger – our approach to integration is decades old, opaque, and rewards closed systems.
For decades, starting in the 50’s through the mid 90’s before the web / Internet came along, systems integration meant that every system had to know about each other in advance, decide on what data they would share, engage in governance meetings, have memoranda of understanding or contracts in place, etc. After the web came along, most of that was thrown out the window because the approach changed to one that said the owner of the data provides whatever they decide (e.g. through a web server) and whoever wants it will be provided secure access and they can come get it (e.g. through a browser or HTTP client). This kind of revolutionary approach in systems integration is what the health IT and medical device sectors are sorely lacking and something that ONC can help promote.
Specifically, the following things are holding us back when it comes to poor integration in healthcare and what future EHRs can do about it:
• We don’t support shared identities, single sign on (SSO), and industry-neutral authentication and authorization. Most health IT systems create their own custom logins and identities for its users including roles, permissions, access controls, etc. stored in an opaque part of their own proprietary database. ONC should mandate that all future EHRs use industry-neutral and well supported identity management technologies so that each system has a least the ability to share identities. Without identity sharing and exchange there can be no easy and secure application integration capabilities no matter how good the formats are. I’m continually surprised how little attention is paid to this cornerstone of application integration. There are very nice open identity exchange protocols, such as SAML, OpenID, and oAuth as well as open roles and permissions management protocols such as XACML that make identity and permission sharing possible. Free open source tools such as OpenAM, Apache Directory, OpenLDAP, Shibboleth, and many commercial vendors have drop-in tools to make it almost trivial to do identity sharing, SSO, and RBAC.
Life expectancy is increasing and what used to kill humans 100 years ago is very different than what kills humans today and that patients need to be empowered more to improve their own health. This talk was given at the IEEE Baltimore Section EMB Society
Electrical distributors have been collecting data on product sales and customer orders for years now. But, technology now allows for the collection, synthesis and analysis of information like never before. Under the guise of Big Data, many industries are planning and even projecting outcomes. Most distributors are only utilizing ERP data, but at what cost? This white paper walks through how members of the electrical distribution channel can plan and execute big data projects to maximize not only sales, but also stock, logistics and customer satisfaction.
Big Data: Smart Technologies Provide Big OpportunitiesNAED_Org
Big data has garnered big-time buzz as an effective means to optimize business and measure success. This concise report provides an introduction to the elements of big data and how smart technologies are playing a big role in the information game.
Reasons why health data is poorly integrated today and what we can do about itShahid Shah
Presented at StrataRX 2012: http://strataconf.com/rx2012/public/schedule/detail/25953
While the entire healthcare community, for decades, has been clamoring for, cajoling, and demanding integration of its IT systems, we’re actually in a pretty elementary stage when it comes to useful, practical, health IT systems integration beyond on-premise and in-building hospital software. Our problem in the industry is not that engineers don’t know how to create the right technology solutions or that somehow we have a big governance problem; while those are certainly issues in certain settings, the real cross-industry issue is much bigger – our approach to integration is decades old, opaque, and rewards closed systems.
For decades, starting in the 50’s through the mid 90’s before the web / Internet came along, systems integration meant that every system had to know about each other in advance, decide on what data they would share, engage in governance meetings, have memoranda of understanding or contracts in place, etc. After the web came along, most of that was thrown out the window because the approach changed to one that said the owner of the data provides whatever they decide (e.g. through a web server) and whoever wants it will be provided secure access and they can come get it (e.g. through a browser or HTTP client). This kind of revolutionary approach in systems integration is what the health IT and medical device sectors are sorely lacking and something that ONC can help promote.
Specifically, the following things are holding us back when it comes to poor integration in healthcare and what future EHRs can do about it:
• We don’t support shared identities, single sign on (SSO), and industry-neutral authentication and authorization. Most health IT systems create their own custom logins and identities for its users including roles, permissions, access controls, etc. stored in an opaque part of their own proprietary database. ONC should mandate that all future EHRs use industry-neutral and well supported identity management technologies so that each system has a least the ability to share identities. Without identity sharing and exchange there can be no easy and secure application integration capabilities no matter how good the formats are. I’m continually surprised how little attention is paid to this cornerstone of application integration. There are very nice open identity exchange protocols, such as SAML, OpenID, and oAuth as well as open roles and permissions management protocols such as XACML that make identity and permission sharing possible. Free open source tools such as OpenAM, Apache Directory, OpenLDAP, Shibboleth, and many commercial vendors have drop-in tools to make it almost trivial to do identity sharing, SSO, and RBAC.
Life expectancy is increasing and what used to kill humans 100 years ago is very different than what kills humans today and that patients need to be empowered more to improve their own health. This talk was given at the IEEE Baltimore Section EMB Society
Is big data just a buzzword -Big data simply explainedVivek Srivastava
Big data helps us to uncover and discover those facets of data which we are not aware of . Using predictive science it helps us to provide insights on which actions can be taken and suggests those actions which will impact the business significantly boosting the revenue or market reach.For example, using large amount of data and appropriate tools, we can categorize different strata of population and build customize products. So whether companies deploy it or not, all depends on what factor constitute the value of company and where the center of value creation lies. It may be money or it may be geographic reach. - Watch this video at https://www.youtube.com/watch?v=ELyOl0fkqNM
The presentation aims to explain why Open Data should be perceived as great advantage for society, business environment and government as well. Open Data holds immense promise for a better society. Bigger and better data might enhance analytical toolkit and improve operational efficiency, both in private and public sectors.The utility of Open Data is strictly connected to advanced analytics based on which we can make future-oriented analyses that can be used to drive changes and improvements in business practices and society as well.
The simplest definition of Big Data is large and complex unstructured data (images posted on Facebook, email, text messages, GPS signals from mobile phones, tweets, and other social media updates…etc.) that cannot be processed by traditional database tools.
ACADEMIC DISSERTATION - Karan Menon
To be presented, with the permission of the Faculty of Engineering and Natural Sciences of Tampere University, for public discussion in the Pieni sali 1 of the Festia building, Korkeakoulunkatu 8, Tampere, on October 16th, 2020, at 12 o’clock.
Teaching organizations to fish in a data-rich future: Stories from data leadersAmanda Sirianni
Many organizations are still early in their journey to set up and optimize their analytics function and related capabilities. However, those that are investing in highly skilled data leaders are seeing the business benefits. To learn more, the IBM Center for Applied Insights spoke with some of these leaders.
Through their stories, we discovered the analytics challenges that businesses face across industries and sectors, and how today’s data leaders confront and eventually overcome those challenges. See how these leaders were able to deliver outcomes that far outweighed their early struggles. To learn more: www.ibm.com/ibmcai/cdostudy
A presentation delivered by Joel Gurin at "The Economic Impact of Open Data" hosted by the Center for Data Innovation in Washington, DC.
More info and video: http://www.datainnovation.org/2014/04/the-economic-impact-of-open-data
In this presentation, Anusha introduces the topic of SMAC and associated trends in the area. Machine learning is where her interest area is and she is fascinated about making sense of vast amounts of data that is generated all around.
The top trends changing the landscape of Information ManagementVelrada
The role of information and data in the private sector, and how employees and users interact with that information, is changing rapidly.
With endless buzzwords and hot topics, and a ream of new technologies and upgrades, it can be difficult for organisations to know where to begin or how it translates into actionable insight.
Is big data just a buzzword -Big data simply explainedVivek Srivastava
Big data helps us to uncover and discover those facets of data which we are not aware of . Using predictive science it helps us to provide insights on which actions can be taken and suggests those actions which will impact the business significantly boosting the revenue or market reach.For example, using large amount of data and appropriate tools, we can categorize different strata of population and build customize products. So whether companies deploy it or not, all depends on what factor constitute the value of company and where the center of value creation lies. It may be money or it may be geographic reach. - Watch this video at https://www.youtube.com/watch?v=ELyOl0fkqNM
The presentation aims to explain why Open Data should be perceived as great advantage for society, business environment and government as well. Open Data holds immense promise for a better society. Bigger and better data might enhance analytical toolkit and improve operational efficiency, both in private and public sectors.The utility of Open Data is strictly connected to advanced analytics based on which we can make future-oriented analyses that can be used to drive changes and improvements in business practices and society as well.
The simplest definition of Big Data is large and complex unstructured data (images posted on Facebook, email, text messages, GPS signals from mobile phones, tweets, and other social media updates…etc.) that cannot be processed by traditional database tools.
ACADEMIC DISSERTATION - Karan Menon
To be presented, with the permission of the Faculty of Engineering and Natural Sciences of Tampere University, for public discussion in the Pieni sali 1 of the Festia building, Korkeakoulunkatu 8, Tampere, on October 16th, 2020, at 12 o’clock.
Teaching organizations to fish in a data-rich future: Stories from data leadersAmanda Sirianni
Many organizations are still early in their journey to set up and optimize their analytics function and related capabilities. However, those that are investing in highly skilled data leaders are seeing the business benefits. To learn more, the IBM Center for Applied Insights spoke with some of these leaders.
Through their stories, we discovered the analytics challenges that businesses face across industries and sectors, and how today’s data leaders confront and eventually overcome those challenges. See how these leaders were able to deliver outcomes that far outweighed their early struggles. To learn more: www.ibm.com/ibmcai/cdostudy
A presentation delivered by Joel Gurin at "The Economic Impact of Open Data" hosted by the Center for Data Innovation in Washington, DC.
More info and video: http://www.datainnovation.org/2014/04/the-economic-impact-of-open-data
In this presentation, Anusha introduces the topic of SMAC and associated trends in the area. Machine learning is where her interest area is and she is fascinated about making sense of vast amounts of data that is generated all around.
The top trends changing the landscape of Information ManagementVelrada
The role of information and data in the private sector, and how employees and users interact with that information, is changing rapidly.
With endless buzzwords and hot topics, and a ream of new technologies and upgrades, it can be difficult for organisations to know where to begin or how it translates into actionable insight.
My keynote presentation on investing in big data application companies. The presentation was made in December at the Brand Innovators conference in NY. (http://www.brandinnovatorsbigdata.com/)
Age Friendly Economy - Improving your business with external dataAgeFriendlyEconomy
The objective of this module is to gain an overview how you can use the data available outside of your company to improve your business.
Upon completion of this module you will:
- Learn the basics of external data and where to find it
- Be able to recognize there is a lot of Open Data already out there for you to use – especially about Older People
- See the benefits of using the external data in order to improve your business
A Digital Future - Transforming NSW Government [Presentation]Martin Walsh
This is the Digital Strategy I developed for NSW Government in 2012. This is the presentation version of the document which I presented to Premier & Cabinet. It must be read in conjunction with the Word Version document which includes all the narrative - http://www.slideshare.net/martinwalsh/a-vision-for-a-new-digital-future-v8
Unlocking Value of Data in a Digital AgeRuud Brink
InfoGraphic about Intelligence Hubs as accelerator of the Digital organisation. Five steps how you could think big, and act small to unlock value of Data in your organisation. Contact me for the office A0 poster.
The Grand Challenge Project is currently underway as a collaboration between the RCA School of Design and CERN.
The Grand Challenge is a unique project that involves all 1st-year School of Design Students from the Fashion, Textiles, IDE, GID, Service Design, Product Design and Intelligent Mobility Programmes; about 380 students, the biggest students cohort ever involved in an RCA project.
Running for 8 weeks in partnership with scientists from CERN, the project is exploring four key themes (Health and Wellbeing, Digital Disruption, Energy, Infrastructure and the Environment; Social and Economic Disparity).
This is a talk being given at the start of the second week of the project to share some of the key insights from 2018 Future Agenda projects that will help to provoke debate and innovation across the four themes.
3. The first DNA sequences were
obtained in the early 1970s by
academic researchers using
laborious methods based
on two-dimensional
chromatography.
Now it takes
minutes …
3
Data is everywhere
4. We are all living longer
But we are retiring at the same age
We are experiencing more chronic disease
We have higher expectations
It costs more to treat each one of us each year
Chronic
disease, new
treatments
Ageing
population
4
5. Changing Consumer Behaviour – More Demanding and Less Loyal
Your customer
Your customer is increasingly likely to be
more demanding, less loyal
More likely to take advice form peers
More willing to adopt new technology
Operates in a world of reduced information asymmetry
Insist on highly personalised services
5
6. Ultimately, it’s about productivity
The sustained resources demand from Australia’s major trading partners
has masked the impact of the decline in relative productivity in many
industry sectors and saw Australia fall significantly behind other OECD
countries.
Australian labour productivity relative to the US went from almost 92% in
1998 to just over 84% in 2010. Whilst there have been recent increases in
productivity, the rate of growth is well below those of our major trading
partners.
In the period 1973/74 – 2013/14, multifactor productivity increased by an
average of 0.8% per annum.
In the most recent review of global
competitiveness by the World Economic
Forum, Australia was ranked 21st in the
world behind the USA (5th), the UK (10th) and
New Zealand (18th).
6
7. And productivity in the Digital Economy is driven by data…
Spatial data are now used for navigation, transport and logistics optimisation,
infrastructure planning and maintenance, managing land use, biosecurity and
environment management.
The same spatial data sets can be used by many people, for many different purposes
creating new and different services. When spatial data sets are linked together, or are
linked with other data such as weather information, traffic flows, demographic
information or predicted jobs growth, many new services can be created without
diminishing the value of the underlying data.
To reframe the value of data in terms of increasing
productivity, the questions might be stated as
• Which data sets can be analysed to make an
existing operation more efficient?
• What new services can be created by analysing
existing data in new ways?
• Which new data sets could be created which would
in turn create new services?
7
8. So What?
Digitise Link Model Predict Optimise
We can ask questions
about the world around us
that we have never been
able to ask before.
The more data sets
you can bring to bear
on the problem, the
more insight
9. 9
Link …
financial services example
Every transaction
From every market
Every day
2 million
transactions per
second
Petabytes of data
Digitise Link Model Predict Optimise
The more data sets
you can bring to bear
on the problem, the
more insight
10. Enabling A
Wider
Choice Of
Asset
Classes For
Investment
illiquid or unlisted assets such as
(unlisted) infrastructure requires
understanding the risks and returns.
Responding
To The
Challenge Of
Self
Managed
Super
Opportunities for super funds and
insurance companies to provide
flexible products and services to
retain members
Making
Retirement
Income And
Insurance
Products
More
Attractive
Guaranteed income products
require prudential reserves. Better
information of retirees needs create
opportunities for different income
products that don’t require the level
of reserves needed by traditional
annuities.
The impact
of
superannuat
ion on the
economy
Understanding the impact of super
fund asset allocation as these
decisions will have an impact on
overall growth that, will influence
overall returns.
Optimise …
research questions
10
Digitise Link Model Predict Optimise
11. 11
The more data sets
you can bring to bear
on the problem, the
more insight
Digitise Link Model Predict Optimise
12. ChallengesEmpathise
How do I deliver more?
How do I personalise my offerings?
How do I adapt to the problems I know
are coming?
How do I minimise risk?
How do I protect privacy?
Who is the grown up in the room?
Sharing is not easy. Unwilling, unable, not allowed
12
13. Recommendations – Data as a Services Enabler
Recommendation 1: Regulatory clarification – Australia should have the goal to
be in the top countries in the OECD in terms of number, type and quality of data
shared.
13
Recommendation 2: Developing a regulatory framework which supports New
Technology – Encourage regulators to work with Industry to understand the
risks and implications of new technology as it becomes a more significant
force in the market.
Recommendation 3: Research on Data Sharing – A
framework should be developed with supports
anonymization of data which in turn facilitates
sharing.
Recommendation 4: Research Data – A
framework should be developed to provide data
sets to the Australian research community.
14. Recommendations – Data as a Services Enabler
Recommendation 8: An Accounting Standard for
Data – Unless the value of data can be estimated in
an accounting sense, data will be undervalued as a
factor of production in the Digital Economy.
14
Recommendation 5: Spatial Data – Should be brought under one standard
and released as open source.
Recommendation 7: Developing a regulatory
framework which supports victims of data breach
Recommendation 6: Data Breaches – mandatory disclosure of breaches of
data and cyber incursions would
15. So What?
Increasing productivity in the
digital services sector has
become the new benchmark for
international performance and
Australia has fallen behind many
of our trading partners
15
Access to
data is central
to the next
wave of
productivity
gains and as
a means of
responding
Australia's
challenges.
Australia has
unique
challenges
and unique
opportunities.
16. Everything should be made as simple as
possible, but no simpler. Albert Einstein
ianopper@outlook.com
+61457553944
@ian_oppermann
/in/ianoppermann