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1、數(shù)據(jù)業(yè)務(wù)新范式:疫情之后數(shù)字化將突飛猛進ContentsE_ecutive Summary1 Introduction A Breakthrough Moment for the Business of Data1.1 New Opportunities Are Emerging51.2 Along with New Capabilities and Technologies1.3 Driving the Emergence of a New Paradigm for Business of Data2 New Opportunities2.1 New Value Pools2.2 New B
2、usiness Models2.3 Richer Stakeholder E_periences2.4 Better Decisions3 New Capabilities3.1 Technology Enablers3.2 Non-Technology Enablers4 Conclusion A New Paradigm for Business4.1 Stakeholder Empowerment4.2 Collaborative Ecosystems and Partnerships4.3 Sustainable Value Creation and Systems Change5 F
3、urther Reading6 Acknowledgements207 Endnotes? 2021 World Economic Forum.All rights reserved.No part of this publication may be reproduced or transmitted in any form or by any means, including photocopying and recording, or by any information storage and retrieval system.July 2021A New Paradigmfor Bu
4、siness of DataE_ecutive SummaryCOVID-19 is changing the world and how we use technology and data is changing with it.The COVID-19 pandemic represents a watershed moment for the role of digital technologies in our lives.We have learnt how much we rely on them and how ingrained they are in almost ever
5、y aspect of our day-to-day activities.And it seems clear that our future will be increasingly digital.At the heart of the digital economy and society is the e_plosion of insight, intelligence and information data.Data is the lifeblood of the digital economy.While the e_ponential growth of data has t
6、he potential to enable better outes and new value for all, the way businesses, governments and consumers use data can also e_acerbate e_clusion, the unequal concentration of power and wealth, and social instability.For businesses, understanding how to leverage data is a critical ponent to success.Bu
7、sinesses are challenged to balance opportunity withmaterial risks in a highly ple_, often emotional and fast-changing environment.This paper captures replicable learnings and practices from organizations leading the way in ushering in a new business paradigm for data that empowers stakeholders, is g
8、rounded in ecosystem partnerships and creates sustainable value for all.It provides a starting point for an ongoing programme to develop new playbooks for e_ecutive action and share lighthouse innovations.Utilizing live, successful e_lesfrom across the business munity today, it highlights:New opport
9、unities for data-driven value creation, categorized into four archetypes: new value pools, new business models, richer stakeholder e_periences and better decisionsPowerful technologies that are opening new possibilities for panies to protect their own interests and those of othersThe new paradigm th
10、at these t trends are driving one that leverages stakeholderinterests as a core design parameter in building sustainable and shared valueThis paper is intended as a starting point to advance actionable understanding on this emerging set of roaches to catalyse further replication, collaboration and i
11、nnovation.It also represents a contribution to an ongoing set of activities across World Economic Forum munities.Further resources are provided for additional reading on digital transformation,industry-specific views on data-driven value, data collaboration and policy, operationalizing end user agen
12、cy through “good” digital identity and use cases that leverage data and technology for COVID-19 response.1Introduction 1A Breakthrough Moment for the Business of DataCOVID-19 has dealt the world a t crisis.We face not only our greatest global health shock but also our greatest economic shock in a ce
13、ntury.It has also provided a t watershed moment.First, whether for school, work, health or keepingin touch with family and friends, we have realized the deep value of digital technologies.Second, it is driving a deep and widespread attitude change that we need to urgently reset the worlds economic f
14、oundations for a more equitable, resilient and prosperous future.1Intangible assets, including data, constituted84,orIntangible assets, including data, constituted84,or $21 trillion, of SP 500 pany value in 20_Most data sits in private hands by 2025,80of data worldwide will reside in enterprisesTher
15、e will be almost30 billionconnected devices by 2023, more than three times the global population and up from almost 19 billion in 20_These are not unconnected.Businesss use of technology plays a crucial role in shaping a redefinition of economic and social systems.Digitalization is yielding vast qua
16、ntities of data,which offers a wealth of possibilities for business, human well-being and the environment.5In April, the Chinese government made it official: the authorities now recognize data as a “new factor of production”, reflecting how it is changing business models, industry boundaries and mar
17、ket structures.6 Used with wisdom, a more granular data-driven understanding ofmunities, individuals and cells, or of ple_natural ecosystems, industry value chains and materials can open new possibilities for well-being.Handled poorly, data and analytics can be used to e_acerbate inequality.The form
18、er delivers benefits we cannot imagine; the latter delivers ills we can imagine all too well.For businesses, however, to say that data is a driver of great value leaves out half of the equation.Many panies feel they lackmaturity or actionable understanding.It is also a source of e_istential reputati
19、onal risk or liability, regulatory constraint and mercial sensitivity.Furthermore, value and responsibility are often seen as being on opposite sides of a scale.However, a new wave of innovations in business models and technological capabilities driven by panies across every sector and region are ch
20、anging the paradigm.This paper aims to highlight some of these innovations, to lify the new art of the possible, spark debate with and across business munities and inspire a new direction of travel for business leaders, entrepreneurs, civil rights activists and policy-makers.Businesses play a critic
21、al leadership role in defining a new paradigm for data through their business and operating model choices.While technological capabilities today are making it possible for panies to create immense value, organizations who can manage the fine balance between opportunity and responsibility will be the
22、 leaders of the future.C.Vijayakumar, President and Chief E_ecutive Officer, HCL TechnologiesNew Opportunities Are EmergingThe old way of using data analytics is through a focus on increased efficiency and better post-hoc decision-making.The new way is to use datato generate -line value.The new use
23、cases frequently draw on data from multiple sources, generate value for multiple entities and embedboth end user and partner interests.The New Opportunities section (on page 6) offers definitions and current e_les of the four emerging archetypes of this data-driven value creation:new value pools, ne
24、w business models, richer stakeholder e_periences and better decisions.Along with New Capabilities and TechnologiesA maturing wave of technology capabilities enable panies to better account for the interests of multiple stakeholders.The New Capabilities section (on page 10) outlines some of the priv
25、acy-enhancing technologies (PETs) and related techniques that facilitate safe and efficient data usage and collaboration.Some techniquesallow organizations to generate insights without e_posing the underlying raw data (consider the e_le of Points on page 11).Others allow panies to generate insights
26、from data sets that remain fragmented across a range of originallocations (consider the e_le of Hewlett Packard Enterprise on page 11). Driving the Emergence of a New Paradigm for the Business of DataLeveraging new capabilities to protect the interests of all stakeholders opens new possibilities for
27、 market, revenue, e_perience and insight generation that is sustainable because all parties benefit.panies that demonstrate leadership in such models and practices not only are creating newopportunities.Trusted relationships with customers build sustainable value, new partnerships leverage plementar
28、y strengths while protecting the core, and governments can be proactively supported in their goal to protect consumers.22New OpportunitiesLarge andNew OpportunitiesLarge and small businesses are innovating data-four new ways of creating value from data insights driven roaches, increasingly motivated
29、 by risingacpanied by live e_les of businesses market sensitivity to the interests of all stakeholders,putting stakeholder-centricity into practice.not just shareholders.The follog section outlinesEmerging opportunities for data-driven value creationArchetypeOpportunityNew Value PoolsNew revenue str
30、eams, products and services for a broader range of stakeholders, enabled by data insights and analyticsNew Business ModelsNew collaborative business models, enabled by ecosystem partnerships bining data setsRicher Stakeholder E_periencesMore personalized, convenient and trustworthy e_periences in li
31、fecycles and conte_ts, enriched by dataBetter DecisionsAnalytics-based insights for better and conte_tualized decision- making, beyond improvements to operational efficiencySource:World Economic Forum2.1New Value PoolsNew revenue streams, products and services, as well as richer insights for a broad
32、er range of stakeholders, all while ensuring privacy andsecurity these are the results some businesses are achieving through data insights and technology.They are e_changing and bining data sets, codifying and selling analytical capabilities, and engaging with new configurations of customers, provid
33、ers and other actors to create new markets for value generation.UP42, a subsidiary of Airbus, e_pands the market beyond the traditional customer base and makes it easier to find, buy and use geospatial productsfrom e_isting providers.A single scalable platform brings together multiple providers of s
34、atellite imagery and geospatial data, analytics and machine-learning algorithms, democratizing access to this data and these capabilities.The pany creates value for stakeholders across the whole chain customers use data and algorithms to solve their clients problems faster and marketplace partners e
35、arn a share of the revenue every time their data and capabilities are used.7Instacart, the largest online grocery delivery platform in North America, is providing in-depth insights on shopping patterns across 5,500 cities toconsumer-packaged goods panies.Based on its partnerships with more than 400
36、retailers and 30,000 grocery stores, as well as its millions of customers, Instacarts customer intelligence offering delivers not only underlying data but also anonymized details on product sales, category trends, out-of-stock information and basket peration among new and e_isting customers.The resu
37、lt is new value to partners and a better customer e_perience for online grocery shoppers.Hewlett Packard Enterprise (HPE) and Continental have created the Data E_change Platform as a Service which is a marketplace for mobility data.Itprovides a secure, transparent, decentralized architecture for tru
38、sted vehicle sensor data sharing and payment, based on blockchain technology and smart contracts.It offers data sovereignty and includes a consent-management system for drivers.The platform helps car manufacturers provide more accurate in-car services, better driver assistance and other mobility ser
39、vices to reduce traffic congestion, increase safety and improve the driver e_perience.8 9Geospatial insights are more crucial than ever.Easy access to geospatial technologies will enable the development ofinnovative solutions, helping to solve some of the problems we face around the globe.Dirk Hoke,
40、 Chief E_ecutive Officer, Airbus Defence and Space2.2New Business ModelsNew, collaborative business models are addressing individuals core needs and building trust while enabling new business opportunities.They augment customers data sets with e_ternal data, creating ecosystems for new opportunities
41、 and deliveringa broader range of products and services.They embed privacy, security and agency.Inrupt enables a distributed data ownership model.Instead of a pany storing siloed snippets of personal data on their servers, usersstore it in interoperable online data stores (Pods on page 12), giving t
42、hem unprecedented choices over how their data is shared and used.They can, for e_le, share their fitness data with their health insurance pany, or allow sharing between their thermostat and air conditioner.They can set time limits on sharing and change their choices at any time.Businesses and develo
43、pers can access a rich store of personal information drawn from all aspects of an individuals life, unlocking innovative services, business opportunities, ecosystems and lications.By flipping the rules of who gets to benefit from data, Inrupts technology lays the groundwork for the ne_t era of busin
44、ess growth on the web.10BBVAs data-driven banking strategy is based on a core idea: the customer owns the data and should be able to share it securely with whomever theywant to achieve their ambitions, even if that service cannot be provided by BBVA.BBVA therefore opened its lication Programming Int
45、erface (API) Market to share data with fintech start-ups andother stakeholders.11 This open, dynamic ecosystem enables new collaborations, business models, use cases, value-added products and customer e_periences.12 As a further benefit, the partners using BBVAs API Market do not have to secure thei
46、r own banking licences to provide financial products and services.Customers, partners and BBVA itself all benefit.13The Machine Learning Ledger Orchestration for Drug Discovery (MELLODDY) is a consortium of 10 pharmaceutical panies, includingJohnson Johnson, AstraZeneca and Gla_oSmithKline, which is
47、 pooling data to train machine-learning algorithms and help develop new antibiotics.Blockchain and decentralized federated learning (on page 11) ensure traceability while allog data to remain on individual panies servers, protecting mercially sensitive and proprietary information.As the first instan
48、ce in the pharmaceutical industry of a collaboration in which artificial intelligence (AI) models are both the enabler and the recipient of data sharing, MELLODDY is accelerating drug discovery, development andgo-to-market times while reducing costs.14 15 It serves as a precedent for mercial partner
49、ships for distributed and shared value creation for business and society.16The business models that dominate the web today are not inevitable.Nothing is immutable.We have the opportunity right now to flip the rules of who gets to link the data together and gain insight from it.A shift like that will
50、 unleash a global wave of individual value creation and business opportunity just like the web itself did 30 years ago.Tim Berners-Lee, Web Inventor; Founding Director, World Wide Web Foundation; Co-Founder and Chief Technology Officer, InruptRicher Stakeholder E_periencesTo sustain trust and engage
51、ment, businesses are using data to better understand consumers, employees and other stakeholders in lifecycles and conte_ts, offering personalized products, tools and services and a seamless e_perience.Businesses are also mastering ecosystems, collaborating with or acquiring other actors to connect
52、their customers with other service providers and offer a richer e_perience.Ping An, which serves 20_million retail customers and 516 million inter users, has transformed itself from an asset-heavy financial institution to anasset-light technology pany, offering an ecosystem of personalized services
53、focused on core needs in health, smart cities, mobility, finance and housing.In housing, for e_le, Ping An has created an ecosystem with multiple providers to meet clients full housing needs: to find, sell or rent a house, secure a mortgage and insurance, and even find discounts for housing renovati
54、ons.Ping An captures data through this platform, enabling it to deliver still more value.Ping Ans 10 platform ventures have already generated over $10 billion in new revenue.17Dassault Systèmes acquired Medidata to strengthen its 3DE_PERIENCE platform, which bines data intelligence and digital
55、simulations toenhance the process and e_perience of research, development, production and mercialization.3DE_PERIENCE creates virtual ts (on page 13) of products, facilities or people which stakeholders canvisualize, share and assess to bring personalized medicine and patient-centric e_periences to
56、the public quickly and safely.18 19 For COVID-19, the platform is facilitating drug repurposing and clinical trials, the supply of critical medical equipment, rapid hospital design and construction, and remote work capabilities and education.20Digi.me, a personal data marketplace, has already enable
57、d consumer data ownership for more than half a million users.Users pile personal, financialand health data, then establish parameters for sharing and selling their data.Instead of collecting data from consumers, businesses and developers ask them to consent to share it in e_change for value, such as
58、 a product, service, convenience or reward.21 panies find a new data model centred on the individual, which ensures a single source of data, with richness, robustness over time, accuracy and ease of use.Individuals receive value, agency, privacy and consent, all of which encourage more data sharing.The platform has already enabled use cases spanning health and well-being, finance and banking, and
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