Presentation slides at Sitra's event 19 September 2019
Jaana Sinipuro, Sitra
Jyrki Suokas, Sitra
Timo Seppälä, Research Institute of the Finnish Economy
German industry overview keynote given at the Transatlantic Dialogue Initiative's Big Data & CyberSecurity conference in Ottawa, Ontario, Feb 22. 2018.
The presentation is a summary presentation from a study Situational Awareness Solutions which collects together use cases for situational awareness capabilities and prioritizes these in context of user perception and readiness, availability and accessibility of technology, ease and likelihood of adoption, as well as regulations and competing substitutes. Finally it analyzes the relevance of assessed use cases to United States, Germany and Japan. The application areas discussed cover, amongst other, ecology and environment, disaster management, logistics and transport as well as critical infrastructure management.
German industry overview keynote given at the Transatlantic Dialogue Initiative's Big Data & CyberSecurity conference in Ottawa, Ontario, Feb 22. 2018.
The presentation is a summary presentation from a study Situational Awareness Solutions which collects together use cases for situational awareness capabilities and prioritizes these in context of user perception and readiness, availability and accessibility of technology, ease and likelihood of adoption, as well as regulations and competing substitutes. Finally it analyzes the relevance of assessed use cases to United States, Germany and Japan. The application areas discussed cover, amongst other, ecology and environment, disaster management, logistics and transport as well as critical infrastructure management.
This presentation by Annabelle Gawer from the University of Surrey was made during the discussion on "Big Data: Bringing competition policy to the digital era" held during the 126th meeting of the OECD Competition Committee on 29 November 2016. More papers and presentations on the topic can be found out at www.oecd.org/daf/competition/big-data-bringing-competition-policy-to-the-digital-era.htm
Big Data in Data-driven innovation: applications, prospects and limitations ...e-Bi Lab
Ioannis Kopanakis, Konstantinos Vassakis & George Mastorakis. "Big Data in Data-driven innovation: Applications, Prospects and Limitations in Marketing".
Presentation at 4th International Conference on Contemporary Marketing Issues, 22-24 June 2016, Heraklion, Greece.
Presentation template: www.PresentationLoad.com
"SMEs in data-driven era: the role of data to firm performance" e-Bi Lab
Ioannis Kopanakis, Konstantinos Vassakis & George Mastorakis. "Big Data in Data-driven innovation: the impact in enterprises’ performance". Presentation at 9th Annual EUROMED ACADEMY OF BUSINESS (ΕΜΑΒ) CONFERENCE
"Innovation, Entrepreneurship and Digital Ecosystems", 14-16 September 2016, Warsaw, Poland.
E-commerce in Latin America: Maximising equitable growth and the potential of...FairTechInstitute
This white paper addresses the regional e-commerce landscape for Latin America. It sheds light on current trends and opportunities, looks at long-standing challenges and includes policy considerations that policymakers should address which would help the region maintain a balanced regulatory framework for online marketplaces.
The report was presented by Access Partnership during the online event, “E-commerce in Latin America: Maximising equitable growth and the potential of retail post-Covid-19”, which took place on 10 December 2021.
Japan, like Finland, compared to USA and China has been seen as a bit latecomer in AI. One reason is that Japan has for decades been a top hardware-oriented industrial country which is producing mainly material objects. But today Japanese government is moving rapidly towards AI.
This presentation focuses on the interaction between the strategic goals to foster more sustainable procurement and procurement digitalisation in the European Union. Exploratory thoughts shared at the Seminar of the Patrimonial Law Research Group of the Pompeu Fabra University in Barcelona on 7 November 2019.
20-21 February 2018, Mexico City: Workshop on building business linkages that books SME productivity. http://www.oecd.org/cfe/smes/workshop-on-building-business-linkages-that-boost-SME-productivity.htm
Transforming Hong Kong into a smart city: The economic opportunity of digital...FairTechInstitute
This study, conducted by AlphaBeta and commissioned by Google, examines the economic significance of digital technologies and skills in Hong Kong. This study finds that, if leveraged fully, digital technologies could create an annual economic value of HKD387 billion (USD 50 billion) by 2030. In addition, if it were to accelerate the pace of its digital skilling efforts over the next decade, workers with digital skills can contribute up to a fifth (21 percent) of Hong Kong’s gross domestic product (GDP) in 2030.
Intermodal Transport Data Sharing Programme (Sep 2021)FairTechInstitute
This was a year-long project conducted in Hong Kong to support evidence-based policymaking, supporting good data governance, green smart cities, and strong data security and protection. The project developed a Proof-of-Concept to demonstrate a trusted data sharing mechanism - Data Trust 1.0 - could be implemented to allow transport operators and service providers to share limited amounts of data for the purposes of limited-scope, mode-specific research e.g. research which asks "how many people cycle to work between 8-9am?"
While this research was conducted for transport operators, the Data Trust 1.0 model is applicable across all sectors. Funding was provided by the Hong Kong Innovation and Technology Commission, and supported generously by sponsors Daimler, MTR, Thales, and Via.
Global banking outlook 2018: pivoting toward an innovation-led strategyEY
Banks are seeking to become digitally mature, completing the transition from regulatory-driven transformation to innovation-led change. EY’s Global banking outlook 2018 survey provides actionable insights for banks as they prepare.
Commissioned by Salesforce, this report is the second edition of the Cross-Border Data Flows Index (CBDFI) which was first presented in 2019. The Index quantifies and evaluates eight regulatory dimensions that serve to either restrict or enhance the volume and variety of cross-border data flows for G20 economies. For this 2021 edition of the report, Singapore has been added to the original economies covered. It has created a conducive policy and regulatory environment for the development of its digital economy. Experiences from Singapore can be leveraged to enable the seamless flow of data across borders.
The report recommends long-term measures to build trust and confidence as well as short-term initiatives that will deliver immediate results in offering clarity on data transfer mechanisms.
The Hong Kong government supports smart city operations and smart lamp post related actions. Smart lamp posts together with 5G can encompass various industries and thus can offer opportunities also for Finnish companies. Hong Kong aims to become a “world class smart city”. In ”Hong Kong Smart City Blueprint” smart lamp posts are mentioned as one action point and 50 smart lamp posts should be in use by the summer of 2019. The figure is set to rise to 400, and during 2019, a tender will likely be opened for the remaining 350 smart lamp posts. Smart lamp posts can serve several different functions and these are currently experimented in Science Park and the Smart City Pilot Area.
The data directive is an Economist Intelligence Unit (EIU) report which seeks to explore the degree to which the ongoing data revolution within business is delivering truly strategic change within companies, as opposed to more incremental optimisation gains. Although many of the issues discussed here stray into the realm of so-called “big data”, this report is not explicitly focussed on that topic and not deal with any technology-related issues. Instead, it seeks to explore how the wider trend toward a greater reliance on data is affecting the strategic management of businesses at a C-suite level, across a range of industries. There is also a supplement to this report available that focuses on the strategic impact of data on CFO's and the finance function. http://bit.ly/thedatadirective_mt
The document covers the role of SMEs in Europe, and assesses the current digitalization level in this region. We researched on the benefits for the enterprises if these turn to the digital completely.
Source: https://www.elinext.com/researches/
This presentation by Annabelle Gawer from the University of Surrey was made during the discussion on "Big Data: Bringing competition policy to the digital era" held during the 126th meeting of the OECD Competition Committee on 29 November 2016. More papers and presentations on the topic can be found out at www.oecd.org/daf/competition/big-data-bringing-competition-policy-to-the-digital-era.htm
Big Data in Data-driven innovation: applications, prospects and limitations ...e-Bi Lab
Ioannis Kopanakis, Konstantinos Vassakis & George Mastorakis. "Big Data in Data-driven innovation: Applications, Prospects and Limitations in Marketing".
Presentation at 4th International Conference on Contemporary Marketing Issues, 22-24 June 2016, Heraklion, Greece.
Presentation template: www.PresentationLoad.com
"SMEs in data-driven era: the role of data to firm performance" e-Bi Lab
Ioannis Kopanakis, Konstantinos Vassakis & George Mastorakis. "Big Data in Data-driven innovation: the impact in enterprises’ performance". Presentation at 9th Annual EUROMED ACADEMY OF BUSINESS (ΕΜΑΒ) CONFERENCE
"Innovation, Entrepreneurship and Digital Ecosystems", 14-16 September 2016, Warsaw, Poland.
E-commerce in Latin America: Maximising equitable growth and the potential of...FairTechInstitute
This white paper addresses the regional e-commerce landscape for Latin America. It sheds light on current trends and opportunities, looks at long-standing challenges and includes policy considerations that policymakers should address which would help the region maintain a balanced regulatory framework for online marketplaces.
The report was presented by Access Partnership during the online event, “E-commerce in Latin America: Maximising equitable growth and the potential of retail post-Covid-19”, which took place on 10 December 2021.
Japan, like Finland, compared to USA and China has been seen as a bit latecomer in AI. One reason is that Japan has for decades been a top hardware-oriented industrial country which is producing mainly material objects. But today Japanese government is moving rapidly towards AI.
This presentation focuses on the interaction between the strategic goals to foster more sustainable procurement and procurement digitalisation in the European Union. Exploratory thoughts shared at the Seminar of the Patrimonial Law Research Group of the Pompeu Fabra University in Barcelona on 7 November 2019.
20-21 February 2018, Mexico City: Workshop on building business linkages that books SME productivity. http://www.oecd.org/cfe/smes/workshop-on-building-business-linkages-that-boost-SME-productivity.htm
Transforming Hong Kong into a smart city: The economic opportunity of digital...FairTechInstitute
This study, conducted by AlphaBeta and commissioned by Google, examines the economic significance of digital technologies and skills in Hong Kong. This study finds that, if leveraged fully, digital technologies could create an annual economic value of HKD387 billion (USD 50 billion) by 2030. In addition, if it were to accelerate the pace of its digital skilling efforts over the next decade, workers with digital skills can contribute up to a fifth (21 percent) of Hong Kong’s gross domestic product (GDP) in 2030.
Intermodal Transport Data Sharing Programme (Sep 2021)FairTechInstitute
This was a year-long project conducted in Hong Kong to support evidence-based policymaking, supporting good data governance, green smart cities, and strong data security and protection. The project developed a Proof-of-Concept to demonstrate a trusted data sharing mechanism - Data Trust 1.0 - could be implemented to allow transport operators and service providers to share limited amounts of data for the purposes of limited-scope, mode-specific research e.g. research which asks "how many people cycle to work between 8-9am?"
While this research was conducted for transport operators, the Data Trust 1.0 model is applicable across all sectors. Funding was provided by the Hong Kong Innovation and Technology Commission, and supported generously by sponsors Daimler, MTR, Thales, and Via.
Global banking outlook 2018: pivoting toward an innovation-led strategyEY
Banks are seeking to become digitally mature, completing the transition from regulatory-driven transformation to innovation-led change. EY’s Global banking outlook 2018 survey provides actionable insights for banks as they prepare.
Commissioned by Salesforce, this report is the second edition of the Cross-Border Data Flows Index (CBDFI) which was first presented in 2019. The Index quantifies and evaluates eight regulatory dimensions that serve to either restrict or enhance the volume and variety of cross-border data flows for G20 economies. For this 2021 edition of the report, Singapore has been added to the original economies covered. It has created a conducive policy and regulatory environment for the development of its digital economy. Experiences from Singapore can be leveraged to enable the seamless flow of data across borders.
The report recommends long-term measures to build trust and confidence as well as short-term initiatives that will deliver immediate results in offering clarity on data transfer mechanisms.
The Hong Kong government supports smart city operations and smart lamp post related actions. Smart lamp posts together with 5G can encompass various industries and thus can offer opportunities also for Finnish companies. Hong Kong aims to become a “world class smart city”. In ”Hong Kong Smart City Blueprint” smart lamp posts are mentioned as one action point and 50 smart lamp posts should be in use by the summer of 2019. The figure is set to rise to 400, and during 2019, a tender will likely be opened for the remaining 350 smart lamp posts. Smart lamp posts can serve several different functions and these are currently experimented in Science Park and the Smart City Pilot Area.
The data directive is an Economist Intelligence Unit (EIU) report which seeks to explore the degree to which the ongoing data revolution within business is delivering truly strategic change within companies, as opposed to more incremental optimisation gains. Although many of the issues discussed here stray into the realm of so-called “big data”, this report is not explicitly focussed on that topic and not deal with any technology-related issues. Instead, it seeks to explore how the wider trend toward a greater reliance on data is affecting the strategic management of businesses at a C-suite level, across a range of industries. There is also a supplement to this report available that focuses on the strategic impact of data on CFO's and the finance function. http://bit.ly/thedatadirective_mt
The document covers the role of SMEs in Europe, and assesses the current digitalization level in this region. We researched on the benefits for the enterprises if these turn to the digital completely.
Source: https://www.elinext.com/researches/
How finland is embracing digital transformationAndreas Korczak
The study is taken a deeper look at the current state of digitalization in Finland based on 22 interviews of leading commercial and public organizations. Questions discussed are
- Why to go digital
- What´s in scope for digitalization
- How to implement digital capabilities
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.
On-switch: Applied Lessons on Moving up the Digital Maturity CurveCognizant
What separates digital beginners from leaders? No matter what your starting point is, our recent research sheds light on where and how much to invest, and the ROI and performance gains to expect.
The quest for digital skills is an Economist Intelligence Unit report, sponsored by Cognizant, on the supply and demand of digital skills across four industries: financial services, healthcare, retail and manufacturing.
The results of our latest study on ‘Smart data transformation,’ carried out with Fraunhofer FIT, are here. In this special research report, we wanted to understand the business benefits, challenges and success factors around this topic, as well as identify key needs to facilitate the effective implementation of smart data transformation.
Claranet Research Report 2015 - Inovação TI na EuropaClaranet Portugal
Apresentamos o novo Claranet Research Report: 56 exaustivas páginas, onde cerca de 900 responsáveis de TI europeus, nos explicam como usam a tecnologia para inovar e como esperam usá-la no futuro.
Faça o download gratuito e descubra:
- Quais são os países que mais inovam na Europa;
- Como interagem os seus departamentos TI com o resto do negócio;
- Qual a opinião dos actuais líderes de TI, sobre os seus fornecedores de serviços.
Saiba mais em http://www.claranet.pt/claranet-research-report-2015.html
Copyright Notice:
This presentation is prepared by Author for Perbanas Institute as a part of Author Lecture Series. It is to be used for educational and non-commercial purposes only and is not to be changed, altered, or used for any commercial endeavor without the express written permission from Author and/or Perbanas Institute. Appropriate legal action may be taken against any person, organization, or entity attempting to misrepresent, charge, or profit from the educational materials contained here.
Authors are allowed to use their own articles without seeking permission from any person, organization, or entity.
Exploring a Multi-Trillion Dollar Opportunity
Hosted by Ovum analysts: Camille Mendler Alexander Harrowell Hwee Xian Tan
Slides from Webinar recording : January 2017
Most business, whether they realize it or not, are already connected to the IoT. Some though are more prepared than others. New survey defines how to get ahead in this evolution of technology. Find out more here: http://bit.ly/1RwVtfR
The global economy is a complex web of business relationships that no company can navigate alone. Whether it is through outsourcing, partnership or simple supplier-customer interactions, all businesses are reliant on the relationships they have with their peers.
It stands to reason, then, that perfecting collaboration with one’s trading partners is a key success factor in business. But how can companies maximise the value of their trading partner relationships, and how can they mitigate the risks?
Futurists have long predicted a world in which the products around us have minds of their own, from talking televisions to smart fridges. Now, at last, that vision is beginning to materialise, thanks to the plummeting cost of computing components and the ubiquity of wireless communications.
"Developing smart products" is a new report sponsored by Cognizant, that explores the commercial, organisational and strategic impact of smart products on the companies that develop them.
Gaia-X and how to accelerate growth – pathway to EU funding webinar 10 March ...Sitra / Hyvinvointi
The webinar is organised as a part of the Finnish Gaia-X Hub coordination. The webinar trainers from Spinverse Oy are experts in the field and funding.
If you are interested and want to explore the EU funding schemes, existing opportunities, modalities and hints on applying or just refresh your knowledge, join us for this webinar and learn about:
- European programmes focusing on digital technologies
- How to work with EU calls for proposals
- How to identify EU funding opportunities
- How to find project partners and build a successful consortium
- Practical tips on how to create winning applications.
The webinar is open for anyone interested in the topic of EU funding and will bring benefits to everyone, in particular to small and medium-sized enterprises. The focus of the webinar will be Digital Europe Programme, but we will also explore other opportunities. https://www.sitra.fi/en/events/gaia-x-and-how-to-accelerate-growth-pathway-to-eu-funding/
Gaia-X Finland – Learning and Sharing Experiences 8.12.2021Sitra / Hyvinvointi
Gaia-X Finland – Learning and Sharing Experiences event on 8 December 2021. As the coordinator of the Finnish national Gaia-X Hub, Sitra is hosting an event to bring together some of the most interesting voices in Finland and in Central Europe who are working hard to bring the most value out of the European data economy. During the virtual event, you will find out about hands-on experiences and initiatives in data sharing in the framework of Gaia-X. You will learn from peer experiences, use cases and real business environment insights from different national hubs in Europe, such as Germany, Belgium, and Luxembourg. Event page: https://www.sitra.fi/en/events/gaia-x-finland-learning-and-sharing-experiences/
For a country like Finland, which is full of innovations and startups, Gaia-X is a gateway for reaching the next step of the data economy ladder. The potential of this groundbreaking initiative is enormous and far-reaching.
Gaia-X is the answer to a massive demand for safe, secure and sovereign data across Europe. By merging hundreds of different organisations in different domain and from across the globe in a single endeavour, Gaia-X combines challenging use cases with innovative solutions to bring the most value out of the European data economy.
Gaia-X project is accelerating rapidly with the launch of Gaia-X regional hubs. We are pleased to invite you to our Gaia-X for Finland – Hub launch event.
During the event, you will learn about the role of a Gaia-X as a game-changer for data-driven businesses, hear about the strategy and operational model of the Finnish Gaia-X Hub and get insights from companies already involved in Gaia-X.
The event page: https://www.sitra.fi/en/events/gaia-x_for_finland_hub_launch/
Presentations:
Jaana Sinipuro, Project Director, Sitra
Hubert Tardieu, Independent Board Member in charge of relationship with governments
Lars Albäck, CEO, Vastuu Group
Kehitämme Sitrassa reilun datatalouden itsearviointityökalua, joka auttaa yrityksiä arvioimaan kestävän ja reilun datan käytön valmiuksiaan. Ensimmäinen versio kansainvälisestikin ainutlaatuisesta ”Fair Data Economy Score -työkalusta” valmistui loppuvuodesta 2020. Kehitystyö jatkuu läpi kevään keräämällä erilaisten toimijoiden näkemyksiä siitä, mihin suuntaan työkalua kannattaa viedä, jotta se auttaisi yrityksiä toimimaan ihmislähtöisesti datataloudessa.
Reilu datatalouden kypsyysmalli yrityksille -kehittämistyöpaja 23.3.2021
Esitykset:
- Tiina Härkönen, Sitra
- Katri Korhonen, Sitra
In the third part of the workshop series Smart Policies for Data, we will focus on two central building blocks – interoperability and balanced data sharing.
The presentations of the event:
- Szymon Lewandowski, DG CONNECT, European Commission
- Marko Turpeinen, CEO, 1001 Lakes
- Lars Nagel, CEO, International Data Spaces Association
The event presents real-life examples from European organisations that have used the Rulebook for Fair Data Economy to develop data-driven business. The online event was organised on 3 March 2021 by Sitra.
Presentations:
- Jaana Sinipuro, Sitra
- Olli Pitkänen, 1001 Lakes
- Marko Turpeinen, 1001 Lakes
- Lars Nagel, International Data Spaces Association
- Cátia Pinto, Serviços Partilhados do Ministério da Saúde
- Matthias De Bièvre, aNewGovernance
04022021 Miapetra Kumpula-Natri: A Human-centric Data strategy and sustainabl...Sitra / Hyvinvointi
Sitra webinar 4.2.2021
The sustainable use of data – the European competitive advantage
Key note: Miapetra Kumpula-Natri: A Human-centric Data strategy and sustainable use of data
Yksilön oikeudet, yrityksen toiminta ja reilu datatalous -kehittämistyöpaja 1...Sitra / Hyvinvointi
Kehitämme Sitrassa reilun datatalouden itsearviointityökalua, joka auttaa yrityksiä arvioimaan kestävän ja reilun datan käytön valmiuksiaan. Ensimmäinen versio kansainvälisestikin ainutlaatuisesta ”Fair Data Economy Score -työkalusta” valmistui loppuvuodesta 2020. Kehitystyö jatkuu läpi kevään keräämällä erilaisten toimijoiden näkemyksiä siitä, mihin suuntaan työkalua kannattaa viedä, jotta se auttaisi yrityksiä toimimaan ihmislähtöisesti datataloudessa.
Työkalun sisältöjä muokataan työpajoista ja eri sidosryhmiltä saadun palautteen pohjalta ja se kehittyy vaiheittain kevään 2021 aikana. Kypsyysmallin avulla yritykset voivat pyrkiä kohti eurooppalaista tavoitetta luoda yksilöitä palveleva ja yksilön oikeuksia paremmin kunnioittava datatalous.
Trusted! Quest for data-driven and fair health solutions Sitra / Hyvinvointi
An inspiring online event on 3 February 2021. We are discussing the future of data-driven health solutions that focus on fairness for all stakeholders: people, business and the public sector. We are asking questions such as: What is fairness in health? What role does trust play in data-driven health services? What needs to change and who needs to act? Most of all, we are launching “The Fair Health Data Challenge“.
Event speakers:
- Jaana Sinipuro, Project Director, IHAN – Human-driven data economy, Sitra
- Dipak Kalra, President, The European Institute for Innovation through Health Data (i~HD)
- Pekka Kahri, Technology Officer, HUS Helsinki University Hospital
- Markus Kalliola, Project Director, Health data 2030, Sitra
- Tiina Härkönen, Leading Specialist, Sitra
Perjantaina 5.2.2021 järjestetyn GAIA-X-tapahtuman esitykset:
- Tuomo Tuikka, VTT
- Ilkka Lakaniemi, Aalto-yliopisto
- Anita Juho, Työ- ja elinkeinoministeriö
- Elina Holmberg, Business Finland
GAIA-X on tulevaisuuden eurooppalaisia datamarkkinoita rakentava yhteiseurooppalainen projekti. Hankkeen tavoitteena on luoda avoin ekosysteemi, joka määrittelee eurooppalaiseen arvopohjaan perustuvat datan jakamisen standardit ja infrastruktuurin. Koordinaatio eri maissa toteutetaan maakohtaisten GAIA-X Hubien kautta.
Sitra webinar 4 February 2021: The sustainable use of data – the European competitive advantage
Katri Korhonen, specialist, The Finnish Innovation Fund Sitra
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
2. The New Data Economy Rainmakers:
Trust as Competitive Edge
19.09.2019 Jaana Sinipuro @jsinipuro
3. SITRA’S CONTRIBUTION TO FINLAND’S EU PRESIDENCY
Transformation to a
carbon neutral
circular Europe
Europe as a
forerunner in
a fair data
economy
Economy of well-
being with impact
investing
- Opportunity to promote sustainable growth with a cross-cutting approach
- Brings EU countries and different political groups together – themes have broad approval
- Supports developing far-reaching effectiveness for European actors and opens global opportunities
What’s in it for the EU?
4. IHAN® Framework as an
enabler for Paradigm Shift
Our project aims to build the
framework for a fair and functioning
post-GDPR data economy.
The main objectives are to test and
create methods for data sharing and to
set up European-level rules and
guidelines for the human-driven use of
data.
INDIVIDUAL | PERMIT | DATA
Making it happen – together.
IHAN® FAIR DATA ECONOMY RAINMAKERS
IHAN® Project facilitating the
move towards Fair Data
Economy
Creating Capabilities for Consent-based Data
Sharing Ecosystems.
COMMON RULEBOOK | GUIDELINES
| ENABLING ARCHITECTURE
| “UUDISTAMO”
M A I N TA I N I N G T R U S T – E U R O P E ’ S B I G G E S T O P P O R T U N I T Y
FACT-BASED RECOMMENDATIONS
FOR CITIZENS & POLICY MAKERS
5. IHAN® as a project
- We define not just the principles and guidelines but also the
necessary components for the fair data economy.
- We pilot new concepts based on personal data in collaboration
with pioneering businesses across corporate, industrial and
national borders.
- We develop an easy way for individuals to identify reliable
services that use their data in a fair way.
6. Over one third of businesses
felt that GDPR has had a
positive effect in their
ability to work in the data
economy.
37%
Oui, tres bon! France 49%
7. Facilitating mindset change through practice
Create
awareness at
companies
interested in
finding new
ways to
compete
Introduce
fair data and
open
ecosystems
as ways to
sustainably
create new
value
Improve
organisations’
understanding
and readiness
for IHAN®
IHAN® for DEVELOPERS
Reference Architecture, IHAN Sandbox,
Open Source Components
IHAN® for BUSINESSES
Concept “UUDISTAMO”, Guidelines and
Frameworks, Test Ground for New Digital
Services
IHAN® for CITIZENS
Digital profile tests and recommendations
Fair Data Label?
PROJECT DELIVERABLES (EXIT)
GOVERNANCEMODEL&
STRATEGIESFOREXECUTION
IHAN® for POLICY MAKERS
Facts for policies
Roadmap
COLLABORATION WITH
INTERNATIONAL STAKEHOLDERS
SOCIETAL
AWARENESS
IHAN® PROJECT 2018–2021
To ensure IHAN®
framework support and
funding in EU funding
programmes
Mindset change
throught facts and
surveys
Highlight future
potential
CONTINUOUS STAKEHOLDER DIALOGUES
INTERNATIONAL ADVISORY BOARDS
8. Corpotate Citizenship -
principles
1. Accountability
2. Transparency
3. Ethical behaviour
4. Respect for stakeholder interests
5. Respect for the rule of law
6. Respect for international norms of
behavior
7. Respect for human rights
8. Sustainable Data Governance?
Source: ISO 26000:2010 Social Responsibility
The 7 Principles
Ask yourself: would you
be comfortable if your
actions were to become
public knowledge?
ISO 26000:2010 Clause 2.7
about Ethical Behaviour
10. Main findings
1. SMEs have difficulty building competitive edge in data economy.
2. GDPR high achievers understand the value of their data repositories and
are ready to create new data-based products and services.
3. French businesses show highest interest towards the Fair Data label.
4. Those with a positive attitude towards data economy are realistic about
the threats and opportunities of the future.
5. One needs to be an ecosystem player to succeed in data economy – Dutch
companies have the lead
11. Basic survey data
- The purpose of the study was to gain insight on companies’ awareness, attitudes, and
commitment to business potential enabled by fair data economy.
- Data economy is commonly understood as part of overall economy where
different operators work in the same environment in order to ensure
availability and usability of data and make use of data by refining it as a
basis in the creation of new services. In order to succeed in this, it is
imperative that operators in the data ecosystems share data with other
operators in the ecosystem.
- The data collection method used was a business decision-maker panel. Data collection was
carried out in April and May of 2019.
- The target population consisted of large enterprises and SMEs (excluding entrepreneurs) in
the Netherlands, Germany, France, and Finland. The study is based on 1667 responses.
- The study was carried out as a part of Sitra’s fair data economy IHAN project.
12. Most businesses see
possibilities in the data
economy now or in the
future.
Nojaa... Finland 42%
59%
Sitra’s company survey 2019 in Finland, France, Germany and the
Netherlands.
13. French, Dutch and German companies take very
optimistic view of the possibilities presented by data
economy. Finns are more pessimistic
Only 42% of the Finnish companies identify opportunities in data economy in the current
situation or in the future. French companies held the most positive views of all.
14% 18% 14% 12% 13%
27%
40%
26%
26% 18%
26%
19%
21% 28%
33%
33%
23%
39% 35% 36%
Germany FranceFinland
yes, it will in
the future
Netherlands
yes, it
already has
possibly
no
All
42%
69%
59%
Source: Sitra Business Survey 05/2019. Question: “Attitude towards data economy: Could data exchange produce competitive edge for your
company?” n = 1654
- The number of “No” answers
was nearly the same in each
country.
- 40% of Finnish companies
answered “possibly”, which
can be seen as a opportunity
to learn
14. Still less than half of SMEs are data economy optimists:
they see data economy as a competitive edge now or in
the future
SMEs’ take a slightly more pessimistic view on the possible competitive edges given by data economy
compared to those large companies who have already seen the light.
14% 10%
19%
27%
22%
32%
26%
28%
23%
33%
40%
26%
SMEsAll Corporations
yes, it
already has
no
possibly
yes, it will in
the future
59%
68%
49%
Source: Sitra Business Survey 05/2019. Question: “Attitude towards data economy: Could data econexchange produce competitive edge for
your company?” n = 1654
- Again the fact that 32% of
SMEs take a sceptical view is
a great opportunity for
learning and understanding
- One fifth of SMEs responded
“No”.
15. When assessing the business potential in the company’s
own industry and organisation, Finland comes last
Only 41% of Finnish companies see large or fairly large business potential in data economy for
their own organization. French companies held the most positive views (58%).
Source: Sitra Business Survey 05/2019. Question: “Attitude towards data economy: Please evaluate how much business potential you see
in data exchange in your business field/in your organisation?” n = 1635
- German and Dutch
companies form a middle
group when compared to
French in front and Finnish at
back
11%
13%
14%
16%
34%
33%
27%
26%
14%
12%
Own
Industry
Own
organisation
41%
38%
Finland Germany
Netherlands France
9%
9%
11% 33%
33%
31%
33%
16%
14%11%
Own
Industry
Own
organisation
47%
47%
9%
9%
36%
37%
37%
35%
13%
13%
6%
Own
Industry
6%
Own
organisation
49%
48%
7%
7%
29%
29%
41%
40%
16%
17%
6%Own
Industry
7%
Own
organisation
58%
57%
Fairly small
Small
Fairly large
Large
Neither large or small
16. When analysing the business potential according to the
main customer base (B2B/B2C), a noticeable difference is
found in the Finnish B2C sector
Only 38% of Finnish B2C companies find the business potential from data economy large or
fairly large compare to other countries in the study (55%).
Source: Sitra Business Survey 05/2019. Question: “Attitude towards data economy: Please evaluate how much business potential you see in
data exchange for your business field/organisation?” n = 1349
- The discrepancy between the
expectations of Finnish B2C
companies for own industry
and own organisation would
suggest lack of knowledge of
the current situation
- The difference between
Finland and the reference
countries both within B2C
and B2B sectors is substantial
11%
14%
14%
15%
29%
33%
30%
26%
16%
11%
Own
Industry
Own
organisation
38%
46%
Finland B2C Finland B2B
Other countries B2C Other countries B2B
7%
9%
14%
15%
37%
35%
29%
29%
13%
12%
Own
Industry
Own
organisation
41%
42%
8%
8%
28%
31%
44%
40%
14%
15%
6%
Own
Industry
6%
Own
organisation
58%
55%
33%
32%
36%
37%
16%
16%
5%
10%
6%
Own
Industry
10%Own
organisation
52%
53%
Small
Fairly large
Large
Fairly small
Neither large or small
17. The impact of platform giants on data economy is immense –
TOP3 challenges in each of the countries was to do with the
rules they are playing by and their market dominating size
When listing their challenges, the lack of know-how in Finland is more significant than in the
reference countries. Germany is the only country where GDPR is seen as a major challenge.
Source: Sitra Business Survey 05/2019. Which of the following do you see as the biggest challenges regarding the creation of new European
services that utilise data? (Choose max. 2 options”) n = 1635 (% of respondents)
- “The Americans and the
Chinese (Google, Facebook,
AirBnB, Alibaba) operate with
their own set of rules”, was
the most significant or the
second most significant
challenge for each country.
- And other TOP 3 challenge for
all four countries was also to
do with the platform economy
giant: “the existing players are
so large that competing with
them is futile”.
Finland Netherlands
Germany France
19%
Platform giants operate
on their own set of rules
Customers are not
requesting new services
Not enough know-how
The existing competitors
are already too large
32%
20%
22%
30%
34%
Not enough know-how
GDPR and other regulations
Platform giants operate
with their own set of rules
The existing competitors
are already too large 18%
16%
The existing competitors
are already too large
18%
25%Platform giants operate
on their own set of rules
20%
GDPR and other regulations
Not enough know-how
19%
Platform giants operate
on their own set of rules
The existing competitors
are already too large
GDPR and other regulations
Not enough know-how 19%
21%
34%
23%
18. Over one third of businesses
felt that GDPR has had a
positive effect in their
ability to work in the data
economy.
37%
Oui, tres bon! France 49%
Sitra’s company survey 2019 in Finland, France, Germany and the
Netherlands.
19. When comparing negative attitudes towards
GDPR the difference between French and Dutch
companies compared to Finnish ones is striking
The organisations who have completed their GDPR compliance project familiar with their data
repositories. 40% of Finnish companies – GDPR low achievers – do not see the regulation as an
opportunity.
13%
21%
14%
8% 10%
13%
19%
14%
11% 7%
37%
34%
38%
43%
34%
25%
18%
20% 29%
35%
12% 8%
14% 10% 14%
FinlandAll Germany FranceNetherlands
26%
49%
37%
40%
Source: Sitra Business Survey 05/2019. Claim: “Please evaluate the accuracy of the following statements that measure the maturity level of data
economy in your company on a scale from 1–5: The GDPR had a positive effect on our company’s chances of creating data economy” n = 1609
- The lower proportion (26%)
of GDPR high achievers
(responding “completely or
partly agree” to the question
about GDPR) in Finland
compared to the other
countries is also worth
noticing. The percentage of
GDPR high achievers in
France is 49%.
Totally accurate
Accurate
Totally
inaccurate
Inaccurate
Neutral
20. Effect of GDPR Country Competitive advantage Business potential
The GDPR high achievers have understood that a thorough
knowledge of their own data assets presents an opportunity
for new business – 75% are data economy optimists.
- GDPR high
achievers also
see much higher
business
potential for
their own
organization
than low
achievers
The GDPR high achievers (37% of companies) identify a significantly higher competitive edge and
business potential than the GDPR low achievers.
13%
13%
37%
25%
12%Very positive
Neutral
Positive
Negative
Very negative
37%
26%
18% 23% 27% 32%
France
Netherlands
Germany
Finland
40% 26% 19% 16%
France
Netherlands
Germany
Finland
19% 31% 44%
no
6%
yes, it
already haspossibly
yes, it will in
the future
75%
30% 33% 14% 23%
yes, it
already has
yes, it will in
the future
no
possibly
37%
3,81
2,73
Source: Sitra Business Survey 05/2019. Claim: The GDPR had a positive effect on our company’s chances of creating data economy.” n = 1654
Questions: “Attitude towards data economy: Could data economy produce competitive edge for your company?” and “Please evaluate on a scale
from 1 to 5 how much business potential you see in data exchange for your own company.”
21. Almost half of companies
thought that a Fair Data
label would be beneficial.
45% 66 % of consumers thought a label
would be important for services that
use data fairly.
Sitra’s company survey 2019 in Finland, France, Germany and the
Netherlands.
22. 12% 16% 14%
8% 11%
8%
13%
8%
7%
7%
34%
35%
34%
37% 29%
34%
26%
32% 39%
41%
11% 10% 12% 10% 12%
All Germany NetherlandsFinland France
36%
53%
45%
French companies show the highest confidence
in the Fair Data label.
The Finnish respondents stand out from others with less positive views: there was the lowest
proportion of those finding the label to be of high benefit or very high benefit (36%).
Source: Sitra Business Survey 05/2019. Question: “Consumer goods use the fair trade label for products that comply with the Fair Trade
requirements. Do you think a similar fair data label would benefit your company?”
Scale: 1 = No benefit at all 5 = Very high benefit
Very high benefit
High benefit
Some benefit
No benefit
No benefit at all
- 53% French respondents
as Finns found the label
beneficial.
23. Benefits of the FAIR DATA
label?
Country Importance of ethical rules? Is sharing data a good thing?
All of the respondents acknowledge the importance of
ethical rules for data collection and utilisation
- Finnish
companies were
over-
represented
among those
with a negative
attitude towards
the Fair Data
label with 36%.
Opinions about data sharing in general were clearly divided in line with the respondents’ attitude towards the
Fair Data label. Those with a positive attitude toward Fair Data were much more willing to share data with
other operators (3,84 vs. 2,88).
12%
8%
34%
34%
11%Very high
benefit
High benefit
Some benefit
No benefit
No benefit
at all
45%
21%
22% 22% 27% 29%
France
Netherlands
Germany
Finland
36% 25% 16% 22%
France
Netherlands
Germany
Finland
3,84
2,88
4,12
3,92
3,66
2,55
3,99
3,67
Source: Sitra Business Survey 05/2019. Question: “Consumer goods use the fair trade label for products that comply with the Fair Trade
requirements. Do you think a similar fair data label would benefit your company?”, “The view on and commitment to the statement ‘using and
collecting data must have ethical rules’”, and “the view on and commitment to the statement ‘sharing data with other players is a good thing’”.
View
Commitment
24. Data economy pessimists
do not even understand to be
worried about potentially lost
revenues
30%
Sitra’s company survey 2019 in Finland, France, Germany and the
Netherlands.
25. We used 2025 future scenarios to investigate the views
of the respondents on two alternative future trends
Current
situation
2019
2025 Future scenario 1
• digitisation and data economy undergo strong development led by large
global corporations
• there will be new platforms, but – just like today – operations focus on one
platform per business field and there is no room for other options
• consumers will not have genuine choice over or influence on how their
collected data is used
2025 Future scenario 2
• in collaboration with companies, the EU will invest in creating principles
and guidelines for fair data economy
• the consumers’ right to their data and its control will be strengthened
• companies will construct new kinds of value networks
• data provided by consumers/shared by companies will enable new, globally
competitive service concepts and business models to be created
• the consumers’ right to their data and its control will be strengthened
26. Current situation Future scenario 1 Future scenario 2
Current situation Future scenario 1 Future scenario 2
Data economy optimists realistically think that both possible
scenarios are full of opportunities. Data economy pessimists
don’t even understand there is anything to worry about…
There is not significant difference between the future scenarios per se , but massive
difference when looking at watershed question of competitive advantage
14%
27%
26%
33%
yes, it
already has
yes, it will in
the future
no
possibly
59%
14%
Source: Sitra Business Survey 05/2019. Question “Attitude towards data economy: Could data exchange bring competitive edge to our organisation?” n = 1654 The questions “Please evaluate what portion of
your company’s turnover digitisation and data economy is subject to business risk (business lost to competition or solutions created by digitisation)?”, “Please evaluate the effect of the data economy created by
market digitisation on your company’s business”, “Please evaluate the effect of the digitisation on your customers’ behaviour while developing your company’s customer understanding?”
In Scenario 1, the
most powerful
operators in data
economy are still
the platform
economy giants
In Scenario 2, the
playing field is
evened out by fair
data economy
practices and
regulations for the
exchange of data
and value between
companies
46,0 47,8 45,7
29,1 30,3 28,6
15% 49% 36% 46% 41%13%
49% 40%12% 46% 45%9%
21% 68% 11%
71% 16%13%
70% 18%12%
73% 15%12%
Negative Neutral Positive
42% 51%7%
41% 52%7%
73% 16%11%
68% 23%9%
Of the turnover:
at risk%
The impact of digitisation
on my own business
The impact of digitisation
on customer understanding
Of the turnover:
at risk%
The impact of digitisation
on my own business
The impact of digitisation
on customer understanding
Of the turnover:
at risk%
The impact of digitisation
on my own business
The impact of digitisation
on customer understanding
Of the turnover:
at risk%
The impact of digitisation
on my own business
The impact of digitisation
on customer understanding
Of the turnover:
at risk%
The impact of digitisation
on my own business
The impact of digitisation
on customer understanding
Of the turnover:
at risk%
The impact of digitisation
on my own business
The impact of digitisation
on customer understanding
27. Already a quarter of Dutch
companies consider themselves
to be Ecosystem drivers
24%
Sitra’s company survey 2019 in Finland, France, Germany and the
Netherlands.
28. Companies can be divided into four categories based on
customer understanding and business model
- Companiesat the top want to
control the customer interface
- Companiesat the bottom
specialise in producing
products and services for
distribution
- Companies on the left
operate as part of a value chain
- Companieson the right
operate as part of an
ecosystem
Source: ”What`s Your Digital Business Model? Six Questions to Help You Build the Next-Generation Enterprise” S Worner, P Weill, HBR Press
2018
Value chain Ecosystem
PartialPerfect
End-customerunderstanding
Business design
Omnichannel Ecosystem driver
Supplier Modular producer
• Owner of customer
relationship
• Multichannel customer
experience provider for
different life situations
• Integrated value chain
• Customers think it is the place for
a given service
• Seamlessly links other services with
their own provision
• Premium customer experience
• Collects customer data
• Charges “rent” from other operators
• Products are sold through
another supplier
• Low production costs and
incremental innovations
• Seamless connections between
supply channels
• Is able to connect to any ecosystem
• Continuous product and service
innovation
Value chain Ecosystem
Customer interface
Products and services
29. Finnish businesses are not ecosystem players
Ecosystem drivers have the highest potential to create added value and, in the
Netherlands, there are nearly twice as many of those (24%) compared to Finland (13%) as
Finnish companies position themselves as value chain players
Source: Sitra Business Survey 05/2019. Question “From the following data economy related statements, choose how well they describe your company’s current business” N=1229. Model
”What’s Your Digital Business Model? Six Questions to Help You Build the Next-Generation Enterprise” S Worner, P Weill, HBR Press 2018
47% 13%
16% 25%
Finland
29% 17%
20% 30%
Germany
31% 24%
18% 26%
Netherlands
32% 19%
18% 30%
France
Value chain Ecosystem
PartialPerfect
End-customerunderstanding
Business design
Omnichannel Ecosystem driver
Supplier Modular producer
• Owner of customer
relationship
• Multichannel customer
experience provider for
different life situations
• Integrated value chain
• Customers think it is the place for a
given service
• Seamlessly links other services with
their own provision
• Premium customer experience
• Collects customer data
• Charges “rent” from other operators
• Products are sold through
another supplier
• Low production costs and
incremental innovations
• Seamless connections between
supply channels
• Is able to connect to any ecosystem
• Continuous product and service
innovation
38%
47%49%
50%
30. Recap
1. SMEs have difficulty building competitive edge in data economy.
2. GDPR high achievers understand the value of their data repositories and
are ready to create new data-based products and services.
3. French businesses show highest interest towards the Fair Data label.
4. Those with a positive attitude towards data economy are realistic about
the threats and opportunities of the future.
5. One needs to be an ecosystem player to succeed in data economy – Dutch
companies have the lead
31. What Are the Benefits of Data
Sharing?
UnitingSupplyChainandPlatformEconomyPerspectives
Industry and Data Research Project
Timo Seppälä
19.09.2019
32. 20.9.2019
32
How has data sharing emerged
between companies?
What types of benefits have companies
reached by sharing data?
Source: Huttunen, Seppälä, Lähteenmäki & Mattila, 2019
33. Transformation:
How has data sharing emerged between companies?
20.9.2019
33
Source: Huttunen, Seppälä, Lähteenmäki & Mattila, 2019
34. 20.9.2019
34
Data sharing is a
common business
practice for 49% of
companies
Source: Huttunen, Seppälä, Lähteenmäki & Mattila, 2019
35. Typology of Data Platforms
20.9.2019
35
• Propriatory data (Company)
– Company internal use only data repository. Access to data maintaned by the
company
• Inner circle data (Platform)
– Shared data repositories. Access to data maintained collectively with boundary
resources.
• Distributed data (Industry)
– Controlled by a third-party actor. Shared practices and technology to access and
share information.
• Open data (Open)
– Distributed, accessible by publicly auditable rules. Programmable interfaces as a
key boundary resource.
Source: Rajala, Hakanen, Mattila, Seppälä & Westerlund, 2018
36. Transformation:
Categorization of identified data-related benefits
20.9.2019
36
Source: Huttunen, Seppälä, Lähteenmäki & Mattila, 2019
Operational
perspective of
data sharing
benefits well
understood by
the companies.
37. From Supply Chains to Platforms
20.9.2019
37
• Operational Data Sharing
– (e.g. Operations and Research & Development data)
• NEW: Markets Data Sharing (Customer)
– (e.g. Customer data)
Source: Huttunen, Seppälä, Lähteenmäki & Mattila, 2019
38. Markets Data Sharing
20.9.2019
38
Key Drivers:
1. The Fragmentation of Customer Requirements
2. Opportunity for new types of (mostly unknown)
externalities
Source: Seppälä, Niemi, Pajarinen, Lähteenmäki & Mattila, Forthcoming, 2019
39. Model terms of the technology industries
for data sharing
20.9.2019
39
• Propriatory information
• Confidential information
• Distributed information
• Open information
Source: Teknologiateollisuus, 2019
40. Transformation:
Categorization of identified data-related
benefits
20.9.2019
40
Source: Huttunen, Seppälä, Lähteenmäki & Mattila, 2019
Strategic
perspective of
data sharing
opportunities are
not understood
by the
companies.
41. Why companies are not moving forward?
20.9.2019
41
The tools for evaluating the value
capture of new types of externalities
is missing from widely accepted
business case valuation methods.
Source: Huttunen, Seppälä, Lähteenmäki & Mattila, 2019
42. What are your data sharing and
categorization strategies?
43. 20.9.2019
43
What type of data resources
(information resources) can companies
treat as proprietary, confidential,
distributed or as open?
44. How to get going with
the paperwork – data
economy rulebook at
your service
Jyrki Suokas
45. Data Ecosystem Rulebook
- Ecosystem Rulebook is the founding document that members of
a data ecosystem sign to adhere to
- Rulebook helps the ecosystem orchestrator to create the
rulebook together with its ecosystem partners
- Rulebook template contains a set of control questions that drive
the results to fill the rulebook section by section:
1. Business – What is the vision and mission for the ecosystem. What are
the business models for all participants in the ecosystem. Also terms
on which new participants can be taken onboard
2. Technical – what technical means (data formats, consent
management, logging etc.) are used
3. Legal – How different legislations enable or inhibit the activities in the
ecosystem.
4. Data – different laws and regulations on different kind of data
5. Ethical – how data is sourced and how services utilize data. ow
ecosystems thrive from sustainable and fair use of data. What kind of
values ecosystems have
45
Multiple bilateral agreements
Rulebook
46. Objective
- To create a common rulebook model with a base structure for different data
ecosystems
– Making it easier and cost efficient to create an ecosystem rulebook
– Making it possible for companies and organisations to join various data ecosystems more
easily
– Increasing know-how, trust and common market practises in the market
– Ensuring fair, sustainable and ethically business within the data ecosystems
- To build a tool that helps different data ecosystems to utilize a common
rulebook structure and a process where by answering various modular
control questions, to create make a initial version of the data ecosystem
specific rulebook. The initial rulebook is then finalised by experts.
46
47. Current state
- Rulebooks are hand written by expensive experts – lawyers, business developers and IT
architects - who start from scratch each time a new rule book needs to be written
- Very little or no reuse
- Extra iterations are costly because these expensive experts are involved in both
preparation and finalization phases
Preparation Finalization
47
48. Near future state
- Preparation phase is separated from Finalization phase by creating an initial list of the
control questions. Business leaders go through the list and by answering the questions
respective sections in the rulebook structure template are filled with answers.
- This creates the initial rulebook which the experts then finalize
- Iterations in the Finalization phase are reduced
Preparation Finalization
48
49. End state
- A tool which guides the business leader to go through the control questions. Tool
automates the creation of the initial rulebook as much as possible
- Control questions and rulebook structure are stored in updateable data repository.
- Iterations in the Finalization phase are minimized
Preparation Finalization
49
50. Rulebook interoperability
- Rulebook interoperability
validation process ensures
that the resulting
rulebooks conform to set
quality and content
standards
- This also ensures
interoperability between
data ecosystems
50
51. Technology
Business
Ethics
Legal System
Data Network – Rulebook
General Part
- ”sales brochure”
Check List
- Control Questions
Parties
PartiesParties
- members
Roles
Externals:
- Individuals
- Legal entities
- others Terms
Data
Sets
Code of Conduct
Agreement
Glossary
Specific Terms
General Terms
Accession Agmt
Business
Annex
Tech
Annex
52. Approach validation
- Approach process is being tested against past, present and future rulebook work to
ensure that the approach is valuable enough according to 80/20 rule
Already completed rulebooks
RETRO
Rulebooks in progress
REQUIREMENTS
Future Rulebooks
DIRECTION
Past RB1
Past RB2
Current RB1
Current RB2
Future RB1
Future RB2
Future RB3
Future RB4
52
53. Plan to Publish the First Version of the
Reference Rulebook
- In the next two months (09/2019-10/2019):
– Facilitation team will update the General Part and draft the next version of the Check List / Control
Questions
– Legal team will draft the first version of the General Terms of the Agreement
– The Ethics Team will draft the Code of Conduct
– Business Team will work on the business model and capability approach
– Rulebook Work Group will meet, discuss the drafts and give feedback bi-weekly
- The first version of the Rulebook including the above mentioned parts will be
publishable in November 2019.
54. Rulebook Next Steps after November Launch
- Current working group will continue to work on enhancing the control questions and
rulebook structure based on real world feedback
- Additional members will be invited into the working group
- Tool creation will commence after baseline has been stabilized
54