Fil presentation overview 2019-01-24
•Transferir como PPTX, PDF•
1 gostou•361 visualizações
Presentation by Jared Keller and me to Finance Innovation Lab (FIL) 2019 cohort on data ecosystems http://financeinnovationlab.org
Recomendados
Recomendados
Mais conteúdo relacionado
Mais procurados
Mais procurados (15)
Semelhante a Fil presentation overview 2019-01-24
Semelhante a Fil presentation overview 2019-01-24 (20)
Mais de Peter Wells
Mais de Peter Wells (20)
Último
Último (20)
Fil presentation overview 2019-01-24
- 1. Data Ecosystems: a Primer Peter Wells @peterkwells Jared Robert Keller @JRobertKeller theODI.org
- 2. 2 theODI.org Contents: 1. Intro to ODI 2. Theory of change 3. Key concepts 4. Useful tools/guides Data Ecosystems: a Primer
- 3. 3 theODI.org Contents: 1. Intro to ODI 2. Theory of change 3. Key concepts 4. Useful tools/guides Data Ecosystems: a Primer
- 4. 4 theODI.org The team Founded in 2012, the Open Data Institute (ODI) is an international, independent and not- for-profit organisation based in London, UK. Dr Jeni Tennison CEO Sir Nigel Shadbolt Executive Chairman Sir Tim Berners-Lee President Louise Burke COO
- 5. 5 theODI.org The ODI board Justine Roberts NED Rob Bryan Company Secretary Roger Hampson NED Anna Mazzone NED Martin Tisné NED Stephen Morana NED
- 6. Our mission We work with companies and governments to build an open, trustworthy data ecosystem.
- 7. Our vision We want people, organisations and communities to use data to make better decisions and be protected from any harmful impacts.
- 8. 8 theODI.org Contents: 1. Intro to ODI 2. Theory of change 3. Key concepts 4. Useful tools/guides Data Ecosystems: a Primer
- 9. Our theory of change How value is created from data
- 10. 10 theODI.org What happens when we hoard data – the oil field Our theory of change Scenario:
- 11. 11 theODI.org What happens when we fear data – the wasteland Our theory of change Scenario:
- 12. 12 theODI.org We are one of many organisations working towards a good balance between encouraging and restricting how data is collected and used. Our theory of change
- 13. 13 theODI.org Our theory of change How do we achieve scale ● Regulators ● Advocates ● Advisors ● Suppliers ● Media ● Researchers
- 14. 14 theODI.org Contents: 1. Intro to ODI 2. Theory of change 3. Key concepts 4. Useful tools/guides Data Ecosystems: a Primer
- 15. 15 theODI.org The Data Spectrum ODI/FIL 2019-01-24
- 16. Place your image over the grey box and crop accordingly
- 17. 17 theODI.org Data Infrastructure ODI/FIL 2019-01-24
- 18. https://www.flickr.com/photos/pkwflickr/6188760566/in/album-72157627764211574/ Roads help us navigate to a location Data helps us navigate to a decision
- 19. @peterkwells @odihq Data infrastructure that is as open as possible unlocks innovation and gives creators, consumers and citizens more control over data
- 20. @peterkwells @odihq Like roads, data is most useful and powerful when connected to other data
- 21. @peterkwells @odihq Like roads, data is most useful and powerful when connected to other data
- 22. 22 theODI.org Data Rights ODI/FIL 2019-01-24
- 23. 23 theODI.org Data Business Models ODI/FIL 2019-01-24
- 24. ● Develop an international ecosystem around open data ● Unlock impact and innovation ● Stimulate supply using success stories Accelerating innovation using open data
- 26. 26 theODI.org Exploring successful business models with open data Business models most commonly used by startups in ODINE Subscription 87% Single payment 29% Funded by grants 13% Attracting customers to paid-for products or services 11% Lead generation for paid products or services 11% Featuring paid-for advertising 4%
- 27. 27 theODI.org Exploring successful business models with open data open data creates opportunities for startups to emerge and grow
- 28. 28 theODI.org Exploring successful business models with open data The role of open data within the ODINE startups. It enables survival, but startups are unable to differentiate forms of the core of our products and services 23% It is a marginal ingredient, it powers a non essential feature 13% It is a key ingredient - it powers an essential feature 63%
- 29. 29 theODI.org Place your image over the grey box and crop accordingly Exploring successful business models with open data Freemium vs Not freemium Sales strategies showed a prevalence to use of the freemium model
- 30. The role of open data in businesses depends on the value proposition The most popular revenue models are freemium and subscription- based The majority of companies have two or more value propositions, enabling startups to find a market fit Main Learnings - Innovating with open data
- 31. Accelerating innovation using shared data €7m EU’s Horizon 2020 Open innovation programme that brings together corporates and public-sector organisations that have data with startups and SMEs that work with data
- 32. 32 theODI.org Data business models Classifying AI systems by access to data and algorithms
- 33. 33 theODI.org Data Portability (open banking is an example…) ODI/FIL 2019-01-24
- 34. 34 theODI.org Steward Holds data Person / Organisation Can request data about them in commonly used machine-readable form Third party Can receive that data directly from the steward
- 35. we do not know how to do data portability well
- 37. 37 theODI.org Data Access Map ODI/FIL 2019-01-24
- 41. 41 theODI.org A well designed access arrangement involves decisions related to governance, oversight, enforcement, ethical review processes, technical mechanisms, legal structures and stakeholder engagement.
- 42. 42 theODI.org Contents: 1. Intro to ODI 2. Theory of change 3. Key concepts 4. Useful tools/guides Data Ecosystems: a Primer
- 43. 43 theODI.org Data Ecosystem Mapping ODI/FIL 2019-01-24
- 44. 44 theODI.org
- 45. 45 theODI.org
- 46. 46 theODI.org
- 47. 47 theODI.org Ecosystem mapping can be useful for: ● identifying the potential impacts of changing how data is accessed, used and shared ● identifying the potential users and communities who might benefit from the creation of new data infrastructure in a sector
- 48. 48 theODI.org Guides / Reports ODI/FIL 2019-01-24
- 49. 49 theODI.org
- 50. 50 theODI.org Data Ethics Canvas ODI/FIL 2019-01-24
- 51. 51 theODI.org Contents 1. Lorem ipsum dolor sit amet 2. Lorem ipsum dolor sit amet 3. Lorem ipsum dolor sit amet 4. Lorem ipsum dolor sit amet 5. Lorem ipsum dolor sit amet 6. Lorem ipsum dolor sit amet 7. Lorem ipsum dolor sit amet
- 52. 52 theODI.org Resources https://theodi.org/article/ data-ethics-canvas/ Data ethics canvas Improve practices Data ethics whitepaper Helping organisations navigate ethical concerns Data ethics workshop Run internal workshop with our workshop plan and slides Introduction to data ethics training Training course and slides
- 53. Any questions? If you would like to talk to us about collaborating, partnering, supporting our work, or anything else, we’d love you to get in touch. info@theodi.org +44 (0)20 3598 9395 @ODIHQ
- 54. Data Ecosystems: a Primer Peter Wells @peterkwells Jared Robert Keller @JRobertKeller theODI.org
Notas do Editor
- stewarding data – collecting it, maintaining it and sharing it creating information from that data – in the form of products and services, analyses and insights, or stories and visualisations deciding what to do – informed by information from multiple sources along with experience and understanding
- There is a danger that in some places, organisations hoard data. They may use inappropriate business or funding models for data that limit the value that we, as a society, get from it. Here, value is concentrated in data monopolies, increasing inequality. We are more exposed to negative side-effects such as privacy and security risks. We call this scenario the oil field because data is treated like oil. We advocate for and support applying an open culture to the three pillars of how data is used within our economies: a data infrastructure that is as open as possible; data literacy and capability for all; and open innovation.
- There is a danger that unaddressed fears arising from legitimate concerns – such as who has access to data and how it might be used – prevent us from realising its full benefits. Data might not be collected or used to the extent it could be. Individuals withdrawing consent could lead to data that is biased and misleading. We call this scenario the wasteland because we end up lacking the data that could support data uses to flourish. We advocate for: building in ethical considerations to data collection, management and use ensuring that there is equity around who accesses, uses and benefits from data engaging widely with people and organisations who are affected.
- Making impact with data is about influencing decisions that people make. These can be citizens, businesses, or policymakers
- unlock all the (good ;)) use cases with data infrastructure as citizens push for it (jobs, better public services) as consumers push for it (better private services) as creators for it (jobs, wealth, etc)
- example from open banking talk open reference data helps you make sense of the personal data, open standard across all banks in the country but you need more too
- example from open banking talk open reference data helps you make sense of the personal data, open standard across all banks in the country but you need more too
- One of our most impactful programmes has been ODINE. We worked with a number of partners around the EU to drive the use of open data in startups and SME’s. We accelerated 57 startups over a 20 month period. Each of these startups €7.8m EU’s Horizon 2020 6-month incubator for European open data entrepreneurs Supporting the next generation of digital businesses to fast-track the development of their products and services Why did we do ODINE?? Untapped value for using Open Data within organisations - Assumption based that we tested and validated through
- In order to truly understand the positive impact that open data can have on businesses, we had to dive deeper into the learning from the programmes. We undertook a surey focused around business models
- One lesson we learned is it’s Not necessarily what the data is - but how you use it. Value can be generated in your approach. The main approach used by our startups was a subscription based business model. Over 87% of our programme paritipants took this approach Subscription base offers recurring revenue for startups. Used to cashflow their activties
- 29% said their company would not exist without open data. These are what might typically be described as ‘open data companies’. They tend to build services specifically around open data. They are often members of ‘the open data community’ and are likely to have built a value proposition around openness. 34% said their company would struggle to exist without open data. These businesses are more focused on a value proposition that is enabled by data, using open data to lower costs or time to market. While open data may not be at the core of their products and services,it has become a key factor in their overall success. None of the respondents to our research said they would be able to easily exist without open data. This clearly indicates that all the businesses believe open data is playing some role in their overall success, even if it is not necessary for their survival.
- The emergence of open data - There is money in open data - offering viable and sustainable opportunities to startups and business’s
- We asked companies if their product was ever free at the point of use in order to examine the prevalence of the freemium model, and to understand other sales strategies including free trial services. Over three fifths of companies employed a freemium model for their product or service, whether that was data itself or another service. This offers startups the opportunity to increase exposure and revenue by users having ease of and free access to their services as a trial. By offering this to customers, they are able to build customer trust with their products and services before purchase/full access. Value is not in the data what you do with the data - service and access.
- The role of open data in businesses is not well defined as its level of importance varies according to each business’ value proposition This lesson can also provide another rationale to why startups use a mixture of value propositions, as open data is still a new and emerging market. For example; supporting others to publish open data is commonly featured within the operation of a business, as responses show this is key in the development of end products/services. For other startups, it is understood that the majority says publishing open data makes open data a relatively small ingredient to their value proposition. From these findings, the role of open data within businesses is not yet well defined. Therefore, it may not yet be relevant and no startup is either fully dependent or independent on open data. Freemium and subscription fees are the most used revenue streams among the ODINE startups From initial research and the independent evaluation that was conducted by the International Data Corporation (IDC), results showed that the most used revenue streams were freemium and subscription. The partners learned that in order for startups to create traction within their respective market, brand strength and market exposure were needed in order to scale. As the majority of startups designed a product or service, by offering customers a freemium model, it allows customers the freedom to trial their service before committing to a financial incentive[1]. If we want to build a trustworthy data ecosystem - companies are able to build trust through allowing people to engage with their products and services for free access New open data business models suggest a mixture of two or more value propositions. The value propositions of open data startups consists of users, publishers and open data supporters. From analysing the startups in the programme, results show that 81% of startups have two or more of these value propositions. The partners have learned that startups operate with a lot of uncertainty, and are still trying to find their market fit. The reason for using two or more value propositions can be down to the true identity and definitive value proposition of the startups yet to be defined. Startups are able to use this as a discovery phase, to determine their true value proposition. In order to provide startups with enough time to understand their position, a future programme may consider offering a 9 month acceleration programme.
- 36
- Began with the hope of producing a taxonomy Lots of overlap and in some cases like comparing apples to oranges Decided to make a map with cluster based on shared characteristics In this room, the main point is: there are no silver bullets or one-size-fits all end-to-end solutions solutions.
- Map data ‘flows’, maintenance of datasets Tangible value like money or the use of a service Intangible value like advice, support Useful for identifying stakeholders, bottlenecks, important decision-makers
- We have found that creating data ecosystem maps of existing systems can help to: identifying the potential impacts of changing how data is accessed, used and shared identifying the potential users and communities who might benefit from the creation of new data infrastructure in a sector