The document discusses the evolution and significance of the platform economy as the main business model in the digital economy, highlighting how data acts as a new raw material. It outlines the roles of various stakeholders, the implications of digital transformation on business practices, and emerging trends in technology and data management. Additionally, it presents insights into the future of user accounts and personal data management in relation to ecosystem development and digital connectivity.

1. Innovating In And Around Organizations
PLATFORM
ECONOMY
The Driving Business Model
of Digital Economy

2. ➔ Fundamental change in business logic
➔ Basics of platform economy
➔ Value of data
➔ Connecting themes
➔ Platform economy business models
➔ Case: Startup Commons
➔ Designing platform economy business models
Today's Topics

3. @valto

4. @valto
Valto Loikkanen
International Serial Entrepreneur
Startup Ecosystem Developer
Digital Finance Innovator
As an Entrepreneur
● 20+ years as international Serial Entrepreneur (US, EU, Asia) &
Portfolio Entrepreneur, with personal hard earned success &
failures (currently 10 companies)
● 17 years experience in developing digital tools to support
various business processes
● 8 years of developing equity crowdfunding and other digital
investment market solutions globally
● 8 years for Startup Ecosystem development combined with
online support tools, platforms & metrics
As a Support Provider
● 10 years of startup mentoring
○ 2000+ one to one mentoring sessions and workshops
○ 1000+ entrepreneurs and hundreds of startups around the
world at various development stages and industries
● 10 years developing Startup Support services, with
entrepreneurial mind and lean methodology
As a Ecosystem Developer
● 6 years of “living lab” development for Startup Ecosystems
● 4 years in European Commission Horizon 2020 Advisory:
○ Access to Risk Finance, Spreading Excellence & Widening
participation, International Cooperation

5. 2009
Creating the first
equity
crowdfunding
platform in the
world

6. 2012- Digital Platforms And Business Models For Global Finance
Markets (100+ platforms)

7. Research
Organization
Higher
Education
Support
Organization
Big
Company
Funding
Organization
Service
Provider
Specific Data Models Specific Data Models Specific Data ModelsSpecific Data Models
People & entities
Ecosystem support
services & activities
Ecosystem develop.
initiatives & projects
Ecosystem
KPI’s & Reporting
Developing & Digitizing Startup Ecosystems To Enable Data
Flow Within And Between Ecosystems Globally
2014-

8. ROADMAP TO DIGITAL
PLATFORM ECONOMY
2017

9. Platform Economy

10. It’s not about...

11. ...new technology...

12. ...or passing trend.

13. “New”
Business Models
Enabled By Internet And Constant Flow Of
New Digital Technologies.

15. Impact To Society And Economy

16. Finnish Economy Transformation (forecast) 1950 - 2030
Digitalization

17. ● Portion of services from the relative volume of overall value produced will
continue to grow
● Data business will also take growing portion of the service markets
● In next 3-5 years, AI solutions will change the productivity of labor and base
logic in business with unforeseen ways
● Digital balance of trade and balance of current accounts, work as measures
for platform economy (but unclear how those are or should be measured
today)
Growing portion of national economy is
coming from value creation based on data

18. Basics Of
Platform Economy

19. Digital Ecosystems
Digital
Platforms
Customers & Users Supply & Producers
Digital Platform Economy

20. Production
Delivery Marketing
Customers
Production Delivery Marketing Customers
From Value Chains
To Platform Economy
Platforms Ecosystems

21. Platform Economy
challenges the business logic in
All Industries

22. ● Service layer: entire service business logic
● Data layer: data as new raw material in value creation
● Systemic layer: more complete solutions to customers needs by
combining systems and data
➔ Machines + equipments + services + communication capabilities + real-time
monitoring & data collection + analytics + business model changes etc.
(digital/application driven companies)
➔ Ongoing 24/7 value creation
In future, manufacturer of machines &
equipments, must enhance their products

23. Product
Product
Service
Data
Networked Systems
Service
= 1 : 8 => 10X
From Digital -> To Digital Platform Economy

24. From Product -> To Platform

25. 10X
Business

26. Competing in one dimension.
Cost, by applying economies of
scale.
Competing in both dimensions.
Due network effect, higher marginal
value at lower marginal cost.
Value
Cost
Business
Size
Player 1 Player 2
Value
Cost
Business
Size
Platform 1 Platform 2
Linear Business Platform Business

27. Based on own resources,
innovation occurs at
given rate.
Harnessing third party
resources, innovation can
occur at higher combined
rate
Even if platform starts from behind or has higher variability,
its value can overtake the product leader.
From resource control
-> to resource orchestration

28. Value of Data

29. By 2020 the value
of personalized
data will be
1 trillion euros,
almost 8% of the
EU’s GDP.

30. Global data
economy is
predicted at
3 trillion.

31. ● Data makes everything digitally transparent
● Data can be collected, stored, combined and multiplied
almost endlessly with nominal cost
● By reading and analyzing data, we learn to understand
societal and economical trends: changes in characteristics,
behavior, activity, wearing, consuming, preferences etc.
Data is the new raw material of digital
economy

32. Data = Power...

36. Fact
No DATA = No AI

37. Poor DATA = Poor AI

38. Connecting
Themes

39. AI
GDPR
API Economy
Data Economy
Sharing Economy
Digital Single Market...

40. ONLY WEEKS TO GO...
GDPR
5

41. About me, my
profile,
documents,
records, etc.
What I do,
what is done
for me, my
interactions
etc.
About service,
target, details,
availability,
operator etc.
Process steps,
interactions,
timestamps
etc.
“Personal”
DATA
“Transaction”
DATA
User A
DATA
Service A
DATA
About service,
target, details,
availability,
operator etc.
Process steps,
interactions,
timestamps
etc.
Service B
DATA
Key aim for GDPR
Enable Data Portability to people
on their terms.

42. MyData
A Nordic Model for
human-centered
personal data
management and
processing
https://julkaisut.valtioneuvosto
.fi/handle/10024/78439
mydata.org

43. Ecosystemic
Benefits

44. Separated
MyData
User Accounts.
“data accounts”
for individuals &
SME’s.

45. Data Accounts
Connected with
API’s
to multiple
services.

46. About me, my
profile,
documents,
records, etc.
What I do,
what is done
for me,
profiling,
interactions,
etc.
About service,
target, details,
availability,
provider etc.
Process/servic
e steps,
interactions,
service records
etc.
“My
Personal”
DATA
“My
Transaction”
DATA
User Accounts
In Service(s)
Used
Service(s)
Used
Future Of User Accounts And Personal Data Management
About me, my
profile,
documents,
records, etc.
What I do,
what is done
for me,
profiling,
interactions,
etc.
About service,
target, details,
availability,
provider etc.
Process/servic
e steps,
interactions,
service records
etc.
<API>
Database
With all DATA stored
Database
With all SERVICE DATA stored
Database(s)
With MY DATA stored
User Account
Service(s)
Login, connectivity &
personal data
management
Service(s)
Used
Data Storage
Service(s)
<API>

48. My Data Account

49. My Data Account

50. My Personal AI
applied to My Data

51. Platform Economy
Business Models

52. ● Data and/or data analytics based business
● My Data Operator
● Networked Business Enabler
● Platform Builder
● Application development for end users
● API developer
Few Platform Economy Business Models

53. Models For Organizing Platforms

54. Comparing Models

55. Case Study
Startup Commons

56. “Mobile Operator”
analogy

57. ?

58. ● One to one
● No network to connect to
● No operators
● Limited reach
● Need to know who to
connect and how?
● Or call “anybody there?”

59. Startup Commons provide standardized
“Operator Network Infra” and help enable “roaming”
Applications are “Devices” connecting to “Operators Network”
Ecosystem Operators is the “Operators”

60. Ecosystem Operator.

61. Digital
“Digital tools, eLearning, user data portability & KPI data...”
Support Providers
Product build & validation,
Biz model design & testing.
Product scaling &
business model validation
Ideation & product design
Team building, training,
mentoring, seed investor &
experts matching
VC Investors, Corporate &
international partnership
Education, inspiration,
Co-founder matching
Product BusinessIdeas
Founders OrganizationTalents
Ecosystem Operators
“Strategically developing ecosystem as a whole from holistic perspective”
C
D
Business Creators-2 2 3-1
B
B
A 0 Business Creators

62. Research
Organization
Higher
Education
Support
Organization
Big
Company
Funding
Organization
Service
Provider
Ideas?
Entrepreneurs?
Talent?
Startups?
What
Data?
Connection
method?
Data
ownership?
Access
rights?
Data
model?
Documentation?
6 applications
15 two way connections
5 per each application
With only one
organization and one
application per each...

63. Research
Organization
Higher
Education
Support
Organization
Big
Company
Funding
Organization
Service Provider
EcosystemOS
Data Model Categories
Specific Data Models Specific Data Models Specific Data ModelsSpecific Data Models
People & entities
Ecosystem support
services & activities
Ecosystem develop.
initiatives & projects
Ecosystem
KPI’s & Reporting

64. Project mng. Tools
Service Data
Customer Data
Service Data
Customer Data
Service Data
Customer Data
Service Data Service Data Service Data
Event Systems Canvas & Dev Tools Biz Plan Tool
Online Forums Mentoring Accounting
Service Data
Customer Data
Service Data
Customer Data
Evaluating Tools
Service Data
Matchmaking
Service Data
Funding platforms
Ecosystem API’s
Standards and Documentation for Connections, Data Models & Data Sharing principles
Ecosystem DataProject Data KPI DataServices Data
Ecosystem Portal KPI DashboardEco.Dev. ProjectsService Mapping
Automated AutomatedManagedSemi Automated
Circle Pass Accounts & API’s - User Data Ownership, portability and Sharing
Customer Data Customer Data Customer DataCustomer Data Customer Data

65. User Data
Business Data
Activity Data
Statistical & Benchmarking Data
Information & Analytics Data
Profiling Data
Public
Local
Regional
Global
Private
& Sharable

66. Email Updates
Suggested Training
Knowledge Automation
Social Media Updates
CRM record updates
Business Intell
Analytic alerts
Data flow adjustments
Open Application
Respond to Notification
Development Phase Update
View In App Message
Inactivity
Use Service
Entered Geolocation
Data flows to automated actions

67. Ecosystem Operator Core Areas
Ecosystem
Framework
Digital
Connectivity
Protect User
Data Rights
Real time
Data & KPI’s
● Focus on key elements from holistic and
neutral ecosystem perspective
○ User Account, related API’s, data & KPI’s
○ Service Function basic data, KPI’s &
related API’s
● Support User Experience at ecosystem level
● Support local business growth via local
connected application and business model
development
● Maintain sustainability of overall strategy,
processes and resources (funding, knowledge
base and related shorter & longer processes).

68. Designing
Platform Business Models

69. Ecosystem
Framework

71. Designing
a Platform

76. Platform
Owner(s)
Customers &
Users
Creators &
Producers
Partners
Parties
Value
Proposition
Value
Creation
By Resolute HQ. Modified from original version by Digital Ahead.
This template is licensed under the Creative Commons Attribution-Share Alike 4.0 Unported License.
Parties Key Enablers

77. Platform
Owner(s)
Customers &
Users
Creators &
Producers
Partners
Parties
Value
Proposition
Value
Creation
By Resolute HQ. Modified from original version by Digital Ahead.
This template is licensed under the Creative Commons Attribution-Share Alike 4.0 Unported License.
Parties Key Enablers
Parties
Define key parties in each corner.
Name and describe as detailed as
possible. Typical parties are owner,
customers/users, creators and
partners.

78. Platform
Owner(s)
Customers &
Users
Creators &
Producers
Partners
Parties
Value
Proposition
Value
Creation
By Resolute HQ. Modified from original version by Digital Ahead.
This template is licensed under the Creative Commons Attribution-Share Alike 4.0 Unported License.
Parties Key Enablers
Value Proposition
Define and describe value
propositions for each party. Does
the platform produce real
measurable value for each?

79. Platform
Owner(s)
Customers &
Users
Creators &
Producers
Partners
Parties
Value
Proposition
Value
Creation
By Resolute HQ. Modified from original version by Digital Ahead.
This template is licensed under the Creative Commons Attribution-Share Alike 4.0 Unported License.
Parties Key Enablers
Value Creation
Describe what each party is
expected to contribute and what
will they gain. What does these
parties want to give and get?

80. Platform
Owner(s)
Customers &
Users
Creators &
Producers
Partners
Parties
Value
Proposition
Value
Creation
By Resolute HQ. Modified from original version by Digital Ahead.
This template is licensed under the Creative Commons Attribution-Share Alike 4.0 Unported License.
Parties Key Enablers
Key Enablers
Think and describe nessesary technologies,
technical enablers, data sets, data collection
processes, tools, services, rules & standards,
etc. that are required for digital platform to
function in such way that it will produce the
described values and fulfill the expected value
propositions of each party.

81. Growing the volume of
participants
Tools &
Services
Operate & Develop
Matching Rules &
Standards
Connect demand / supply
ConsumeCreate
Compensate / Monetize
Platform
transactions

82. Growing the volume of participants
● Attract parties to join the platform, to grow the volume of each party in the
network in balanced manner, considering supply and demand.
● So that exchange of value can start to emerge.
Operate & Develop

83. Matching
● Match each parties with those parties whos supply is meaningful for the
matching other party.
● Or else, all parties are looking for the “needle in a haystack”.
Operate & Develop

84. Rules & Standards
● Platform needs to create the rules that define what is allowed and what is
not. For example; what type of behavior is encouraged and what is not. This
include two main component;
○ Entry and usage moderation; Who can join, who can’t and why?
○ Usage moderation; moderation of the quality of activities and support,
based on feedback by each parties
● If these are not managed properly, quality will diminish as the volume of each
party grows.
Operate & Develop

85. Tools & Services
● Platform offers key tools and services like; technology that supports each
step in the key transactions. Tools are self service and “plug & play” type of
solutions.
● Services on the other hand are things that platform centralizes and manages
itself. As an example these are be insurances to parties, marketplace and user
support.
Operate & Develop

86. Create Supply
● Parties in the platform need to produce something of value like; content,
services, products, solutions etc.
● This is the supply that platform offers.
Platform Transactions

87. Connect
● Platform need to help connect the demand with relevant supply
Platform Transactions

88. Consume
● Parties in the platform consume and experience the value of the supply.
● This can be reading content, purchase of a product or downloading an app.
Platform Transactions

89. Compensate
● Party that is consuming supply also produce value in return when they
consume the supply.
● This is not necessarily money, but can also be “liking”, recommendation,
attention etc.
Platform Transactions

90. Trends in Enabling
Technologies

91. Trends in application development

92. UI
UI
Business
Logic
Data Access
Layer
UI
Microservice Microservice Microservice
SQL Database NoSQL Database SQL Database Database
Microservice
Monolithic
Architecture
Microservices
Architecture
Business
Logic
Function1
Function2
Function3
Function4
Function6
Function6
API Gateway Service
UIUI UI
SQL Database NoSQL Database Service
Serverless
Architecture
Business
Logic
API Gateway
UI

93. How
Outdating Current Emerging
What
Where
Traditional
Waterfall Agile DevOps NoOps
Monolithic Apps N-Tiers Apps Microservices & API’s Functions As A Service
Physical Private Virtualization
Hybrid Cloud Cloud Network OS
Containers Serverless Computing

94. Aim to Become
“Industry Standard”

95. National
Standards
International
Standard
VS

96. Thank You!

97. Questions
Or Comments?
valto@growvc.com