SlideShare a Scribd company logo
1 of 46
Download to read offline
DataPorts Survey #1 Identify Market Needs
Survey Identity: Oct. 1st – Oct. 31st 2020
91 responses
OTE
Survey Identity: Oct. 1st – Oct. 31st 2020
91 responses
Who should respond? Anyone interested to see how collaboration can foster innovation within their organization
and in particular anyone that wants to be inspired from the following list:
Startups, SMEs, Large Industries, Shipping Companies, Public Authorities, Forwarders and shippers, Ship agents,
Terminal operators, Surveyors, Transport operators, Software developers, Researchers, LEAs, etc.
General
1. What is the size of the organization that you represent?
4
Over 250 employees
(Large)
53%
10-49 employees (Small)
17%
50-249 employees
(Medium)
23%
1-9 employees (Micro)
7%
2. What is your company’s field of operation?
5
18,7%
14,3%
19,8%
3,3%
22,0%
4,4%
6,6%
1,1%
2,2%
1,1%
3,3%
1,1% 1,1% 1,1%
0
5
10
15
20
25
3. What is your role in your organization?
6
11,0%
7,7%
15,4%
27,5%
13,2%
1,1% 1,1%
18,7%
1,1% 1,1% 1,1% 1,1%
0
5
10
15
20
25
30
Platforms Experience
4a. Does your organization have the past experiences with (digital) platform ecosystems?
Please also rate your experience with those platforms
8
No we don't have any
experience with (digital)
platform ecosystems
44%
Yes we had experience
with the following
platforms
56%
No we don't have any experience with (digital)
platform ecosystems
Yes we had experience with the following
platforms
4b. If you replied Yes on 4a, please evaluate your experiences with the following platforms (1=very
negative experience, 5=very positive experience
9
4b. See in detail …
10
4b. See in detail …
11
4b. See in detail …
12
4b. See in detail …
13
5. We stopped using specific platforms, because of the following
reasons
14
31%
19%
8%
2%
4%
16%
15%
2%
2%
1%
0% 5% 10% 15% 20% 25% 30% 35%
Security issues
Dissatisfaction with service
We have not used any of the above
Dissatisfaction with service;Inaccuracy
Did not stop using them
Outdated;We prefer to use the various technologies inividually instead of
working with a known distribution; No epxerience with them
N/A - No need so far
We prefer not pay
Complexity, Difficulties in customization, Deployment challenges
We are not the party making the choice of technical platform
Platform Usage
6. On a scale of 1 to 5, with 1 being “not at all interested “ and 5 being “very interested”, how
interested is your organization in the following activities?
16
6. See in detail …
17
7. What type of data are you interested in purchasing?
18
8. What kind of services are you interested in using?
19
Security & Data Protection
9. According to your organization, would you like to be onboard/use/collaborate with a Data
Platform that would assure the security based on …
21
10. Did your organization have problems with data security/data governance in the past?
Please mark all applicable options
22
10. See in detail …
23
11. Does your organization already use some form of security system to protect data of others
or to share data? If yes, please specify
24
No, we don't use any data
security system
29%
Yes our company uses a
security system to protect data
71%
No, we don't use any data security system Yes our company uses a security system to protect data
11b. If answer on 11a. Is “Yes”, please specify
25
12. Does your organization process any type of personal data (any information relating to an identified or
identifiable natural person)? Please mark all applicable options
26
13. In case of processing personal data, which type of operation is performed on personal data
or on sets of personal data? Please mark all applicable options
27
14. Which technical or organizational control (mechanism) does your organization provide to guarantee data protection principles (GDPR
Article 5 – transparency, purpose limitation, data minimization, accuracy, storage limitation, integrity, and confidentiality)? Please mark
all applicable options
28
DataPorts Platform Exploitation
15. According to your organization’s business plan, how do you plan to use offered data
services?
30
16. Which proposal would suit your organization best? I can use data from a data driven
platform related to shipping ports to:
31
17. According to your organization’s experience, please rate the severity of each of the following pains (difficulties)
related to data sharing when provisioning datasets or services (5: extreme pain, 1: no pain)
32
No knowledge
of customers’
requirements
Difficulty in identifying
concurrency effects in
relation to the
Shipping Port
No knowledge of
the fluctuations
in customers’
requirements
over time
Difficulties in
selecting
optimal analytic
services
Guaranteeing the
quality of service
(QoS) level agreed
with the customer
17. See in detail …
33
17. See in detail …
34
18. How often does your organization want to buy dataset if sufficiently available?
35
0 5 10 15 20 25 30 35 40 45
Unlimited access to specific data sources
Buy single datases from time to time
Buy large datasets or dataset groups regularly
I am not aware of the frequency
company not interested in buying data sets
not often
Data Profile
19. What’s most important to you when using data? (1= not
important, 5= very important)
37
The accuracy
of the data
The amount of
data volume
The availability
of data
The ability to
provide/consume
useful data all
year round and
not only
seasonally (e.g.
summer)
Completeness
of the dataset
(to not include
missing
values)
Being up
to date
Sufficiency
Capability
/
Standardization
20. According to your organization’s experience, please rate the importance of the following
aspects in a data/service sharing (5: very important)
38
Data Platform Adoption
21. Which of the following options do you support, in terms of the data taxonomy
(classification)? Pick all supported models
40
21. See in detail …
41
22. Which steps is your organization willing to take to allow access to the DataPorts
marketplace knowing that all other participants have to do the same?
42
Provide a physical
infrastructure (e.g. Servers)
Host an Instance of
the DataPorts
platform or a
Database
Have data security
measures verified
Provide an
API/interface for data
exchange
Implement a software
to interact with the
DataPorts
API/interface
Adapt existing data to
predefined standards
22. See in detail …
43
22. See in detail …
44
22. See in detail …
45
Christos Gizelis, PhD.
Senior Digital Transformation Analyst
ΙΤ Innovation Center
OTE Group of Companies
Email: cgkizelis@cosmote.gr
46

More Related Content

Similar to DataPorts Survey #1 Identify Market Needs

2014 Data Protection Maturity Survey: Results and Analysis
2014 Data Protection Maturity Survey: Results and Analysis2014 Data Protection Maturity Survey: Results and Analysis
2014 Data Protection Maturity Survey: Results and Analysis
Lumension
 
Ciso round table on effective implementation of dlp & data security
Ciso round table on effective implementation of dlp & data securityCiso round table on effective implementation of dlp & data security
Ciso round table on effective implementation of dlp & data security
Priyanka Aash
 
Cipher_Guide-To-Selecting-the-Right-CI-Software-Solution
Cipher_Guide-To-Selecting-the-Right-CI-Software-SolutionCipher_Guide-To-Selecting-the-Right-CI-Software-Solution
Cipher_Guide-To-Selecting-the-Right-CI-Software-Solution
Benjamin Decowski
 
Understanding Big Data so you can act with confidence
Understanding Big Data so you can act with confidenceUnderstanding Big Data so you can act with confidence
Understanding Big Data so you can act with confidence
IBM Software India
 

Similar to DataPorts Survey #1 Identify Market Needs (20)

Enterprise Data Privacy Quiz
Enterprise Data Privacy QuizEnterprise Data Privacy Quiz
Enterprise Data Privacy Quiz
 
Data Trends for 2019: Extracting Value from Data
Data Trends for 2019: Extracting Value from DataData Trends for 2019: Extracting Value from Data
Data Trends for 2019: Extracting Value from Data
 
The 2018 Enterprise Cloud Trends Report
The 2018 Enterprise Cloud Trends ReportThe 2018 Enterprise Cloud Trends Report
The 2018 Enterprise Cloud Trends Report
 
LMS - evolution or extinction infographic
LMS - evolution or extinction infographicLMS - evolution or extinction infographic
LMS - evolution or extinction infographic
 
2014 Data Protection Maturity Survey: Results and Analysis
2014 Data Protection Maturity Survey: Results and Analysis2014 Data Protection Maturity Survey: Results and Analysis
2014 Data Protection Maturity Survey: Results and Analysis
 
Freeform dynamics
Freeform dynamicsFreeform dynamics
Freeform dynamics
 
Testing Governance And Data Management
Testing Governance And Data ManagementTesting Governance And Data Management
Testing Governance And Data Management
 
LinkedIn B2B IT Committee Insights
LinkedIn B2B IT Committee InsightsLinkedIn B2B IT Committee Insights
LinkedIn B2B IT Committee Insights
 
The GDPR Most Wanted: The Marketer and Analyst's Role in Compliance
The GDPR Most Wanted: The Marketer and Analyst's Role in ComplianceThe GDPR Most Wanted: The Marketer and Analyst's Role in Compliance
The GDPR Most Wanted: The Marketer and Analyst's Role in Compliance
 
Ciso round table on effective implementation of dlp & data security
Ciso round table on effective implementation of dlp & data securityCiso round table on effective implementation of dlp & data security
Ciso round table on effective implementation of dlp & data security
 
Machine Learning: Addressing the Disillusionment to Bring Actual Business Ben...
Machine Learning: Addressing the Disillusionment to Bring Actual Business Ben...Machine Learning: Addressing the Disillusionment to Bring Actual Business Ben...
Machine Learning: Addressing the Disillusionment to Bring Actual Business Ben...
 
Information Innovation Index 2014 UK Research Results
Information Innovation Index 2014 UK Research ResultsInformation Innovation Index 2014 UK Research Results
Information Innovation Index 2014 UK Research Results
 
Accenture big-data
Accenture big-dataAccenture big-data
Accenture big-data
 
big data analytics pgpmx2015
big data analytics pgpmx2015big data analytics pgpmx2015
big data analytics pgpmx2015
 
Cipher_Guide-To-Selecting-the-Right-CI-Software-Solution
Cipher_Guide-To-Selecting-the-Right-CI-Software-SolutionCipher_Guide-To-Selecting-the-Right-CI-Software-Solution
Cipher_Guide-To-Selecting-the-Right-CI-Software-Solution
 
Mis
MisMis
Mis
 
Understanding Big Data so you can act with confidence
Understanding Big Data so you can act with confidenceUnderstanding Big Data so you can act with confidence
Understanding Big Data so you can act with confidence
 
GDPR Pop Up | Human Capital Department - HR Forum - 26 April 2018
GDPR Pop Up | Human Capital Department - HR Forum - 26 April 2018GDPR Pop Up | Human Capital Department - HR Forum - 26 April 2018
GDPR Pop Up | Human Capital Department - HR Forum - 26 April 2018
 
Responding to Insurance Market Oversight
Responding to Insurance Market OversightResponding to Insurance Market Oversight
Responding to Insurance Market Oversight
 
Buyer's guide to strategic analytics
Buyer's guide to strategic analyticsBuyer's guide to strategic analytics
Buyer's guide to strategic analytics
 

More from DataPortsProject (8)

Data Governance
Data GovernanceData Governance
Data Governance
 
Process-based Analytics
Process-based AnalyticsProcess-based Analytics
Process-based Analytics
 
Automatic Model Training Engine
Automatic Model Training EngineAutomatic Model Training Engine
Automatic Model Training Engine
 
Data Abstraction and Virtualization
Data Abstraction and VirtualizationData Abstraction and Virtualization
Data Abstraction and Virtualization
 
Data Access and Semantic Interoperability
Data Access and Semantic InteroperabilityData Access and Semantic Interoperability
Data Access and Semantic Interoperability
 
DataPorts Blockchain Overview
DataPorts Blockchain OverviewDataPorts Blockchain Overview
DataPorts Blockchain Overview
 
DataPorts presentation at "Smart Digital Ports of the Future 2022" conference
DataPorts presentation at "Smart Digital Ports of the Future 2022" conferenceDataPorts presentation at "Smart Digital Ports of the Future 2022" conference
DataPorts presentation at "Smart Digital Ports of the Future 2022" conference
 
DataPorts Project presentation
DataPorts Project presentationDataPorts Project presentation
DataPorts Project presentation
 

Recently uploaded

CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
giselly40
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 

Recently uploaded (20)

GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 

DataPorts Survey #1 Identify Market Needs

  • 1. DataPorts Survey #1 Identify Market Needs Survey Identity: Oct. 1st – Oct. 31st 2020 91 responses OTE
  • 2. Survey Identity: Oct. 1st – Oct. 31st 2020 91 responses Who should respond? Anyone interested to see how collaboration can foster innovation within their organization and in particular anyone that wants to be inspired from the following list: Startups, SMEs, Large Industries, Shipping Companies, Public Authorities, Forwarders and shippers, Ship agents, Terminal operators, Surveyors, Transport operators, Software developers, Researchers, LEAs, etc.
  • 4. 1. What is the size of the organization that you represent? 4 Over 250 employees (Large) 53% 10-49 employees (Small) 17% 50-249 employees (Medium) 23% 1-9 employees (Micro) 7%
  • 5. 2. What is your company’s field of operation? 5 18,7% 14,3% 19,8% 3,3% 22,0% 4,4% 6,6% 1,1% 2,2% 1,1% 3,3% 1,1% 1,1% 1,1% 0 5 10 15 20 25
  • 6. 3. What is your role in your organization? 6 11,0% 7,7% 15,4% 27,5% 13,2% 1,1% 1,1% 18,7% 1,1% 1,1% 1,1% 1,1% 0 5 10 15 20 25 30
  • 8. 4a. Does your organization have the past experiences with (digital) platform ecosystems? Please also rate your experience with those platforms 8 No we don't have any experience with (digital) platform ecosystems 44% Yes we had experience with the following platforms 56% No we don't have any experience with (digital) platform ecosystems Yes we had experience with the following platforms
  • 9. 4b. If you replied Yes on 4a, please evaluate your experiences with the following platforms (1=very negative experience, 5=very positive experience 9
  • 10. 4b. See in detail … 10
  • 11. 4b. See in detail … 11
  • 12. 4b. See in detail … 12
  • 13. 4b. See in detail … 13
  • 14. 5. We stopped using specific platforms, because of the following reasons 14 31% 19% 8% 2% 4% 16% 15% 2% 2% 1% 0% 5% 10% 15% 20% 25% 30% 35% Security issues Dissatisfaction with service We have not used any of the above Dissatisfaction with service;Inaccuracy Did not stop using them Outdated;We prefer to use the various technologies inividually instead of working with a known distribution; No epxerience with them N/A - No need so far We prefer not pay Complexity, Difficulties in customization, Deployment challenges We are not the party making the choice of technical platform
  • 16. 6. On a scale of 1 to 5, with 1 being “not at all interested “ and 5 being “very interested”, how interested is your organization in the following activities? 16
  • 17. 6. See in detail … 17
  • 18. 7. What type of data are you interested in purchasing? 18
  • 19. 8. What kind of services are you interested in using? 19
  • 20. Security & Data Protection
  • 21. 9. According to your organization, would you like to be onboard/use/collaborate with a Data Platform that would assure the security based on … 21
  • 22. 10. Did your organization have problems with data security/data governance in the past? Please mark all applicable options 22
  • 23. 10. See in detail … 23
  • 24. 11. Does your organization already use some form of security system to protect data of others or to share data? If yes, please specify 24 No, we don't use any data security system 29% Yes our company uses a security system to protect data 71% No, we don't use any data security system Yes our company uses a security system to protect data
  • 25. 11b. If answer on 11a. Is “Yes”, please specify 25
  • 26. 12. Does your organization process any type of personal data (any information relating to an identified or identifiable natural person)? Please mark all applicable options 26
  • 27. 13. In case of processing personal data, which type of operation is performed on personal data or on sets of personal data? Please mark all applicable options 27
  • 28. 14. Which technical or organizational control (mechanism) does your organization provide to guarantee data protection principles (GDPR Article 5 – transparency, purpose limitation, data minimization, accuracy, storage limitation, integrity, and confidentiality)? Please mark all applicable options 28
  • 30. 15. According to your organization’s business plan, how do you plan to use offered data services? 30
  • 31. 16. Which proposal would suit your organization best? I can use data from a data driven platform related to shipping ports to: 31
  • 32. 17. According to your organization’s experience, please rate the severity of each of the following pains (difficulties) related to data sharing when provisioning datasets or services (5: extreme pain, 1: no pain) 32 No knowledge of customers’ requirements Difficulty in identifying concurrency effects in relation to the Shipping Port No knowledge of the fluctuations in customers’ requirements over time Difficulties in selecting optimal analytic services Guaranteeing the quality of service (QoS) level agreed with the customer
  • 33. 17. See in detail … 33
  • 34. 17. See in detail … 34
  • 35. 18. How often does your organization want to buy dataset if sufficiently available? 35 0 5 10 15 20 25 30 35 40 45 Unlimited access to specific data sources Buy single datases from time to time Buy large datasets or dataset groups regularly I am not aware of the frequency company not interested in buying data sets not often
  • 37. 19. What’s most important to you when using data? (1= not important, 5= very important) 37 The accuracy of the data The amount of data volume The availability of data The ability to provide/consume useful data all year round and not only seasonally (e.g. summer) Completeness of the dataset (to not include missing values) Being up to date Sufficiency Capability / Standardization
  • 38. 20. According to your organization’s experience, please rate the importance of the following aspects in a data/service sharing (5: very important) 38
  • 40. 21. Which of the following options do you support, in terms of the data taxonomy (classification)? Pick all supported models 40
  • 41. 21. See in detail … 41
  • 42. 22. Which steps is your organization willing to take to allow access to the DataPorts marketplace knowing that all other participants have to do the same? 42 Provide a physical infrastructure (e.g. Servers) Host an Instance of the DataPorts platform or a Database Have data security measures verified Provide an API/interface for data exchange Implement a software to interact with the DataPorts API/interface Adapt existing data to predefined standards
  • 43. 22. See in detail … 43
  • 44. 22. See in detail … 44
  • 45. 22. See in detail … 45
  • 46. Christos Gizelis, PhD. Senior Digital Transformation Analyst ΙΤ Innovation Center OTE Group of Companies Email: cgkizelis@cosmote.gr 46