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Sandra Hanchard
Kuala Lumpur, 18 August 2015
Open and Proprietary Data Economies in
Malaysia: The Consumption Perspective
BIG DATA MALAYSIA @
Open Government Partnership Seminar and Exhibition
About Big Data Malaysia
• Community for professionals with interest in all
things Big Data
• 3,000+ people across channel network
• Since 2012, organising regular free educational
topic-based meetups (e.g. Data science,
Dataviz, Open Data + more)
• Partners & supporters: Experian, Teradata,
Nintex, F-Secure, MoneyLion, MDeC + more
• We are: Engineers, Data Scientists, Analysts,
End-Users, Managers, CxOs, Entrepreneurs
MYL Interest in Big Data
• No longer in domain
of ICT firms; cross
industry incl.
marketing, education,
scientific, finance,
media, manufacturing
etc.
• Driven by top-line
revenue & business
growth, versus
bottom-line factors
such as efficiency
Open and proprietary datasets
Commercial use of open data
in Malaysia still nascent
• What does open data mean in a
commercial context?
• “Open data has minimum barriers:
legal, commercial and tech.”
• Stimulating and regulating
consumption economy of open and
proprietary datasets.
Tech Enablers
Fuelling innovation in services
“Informal” / Open Data
approaches in Malaysia
WHO
• Data-driven businesses
• Analytics and dataviz
consultancies
• Startups: intermediaries
and aggregators
• MNC credit and
financial sectors
HOW
• Behavioural targeting
and advertising
• Free recent data,
premium historical data
• Tools, easy to consume
statistics, insights
• Reputation
endorsement
Value: Bring data to life through visual analytics, encourage
citizen engagement
Value: More efficient public transport system for low-middle
income Malaysians
Digitization efforts
Value: Pricing transparency in property market: balance
information asymmetries
PropStats
Value:
Leads monetization to local portals
Value:
Access to credit and personal financial management
Perspectives on open data in
MYL
• “We can do more; and more quickly. We have a
strong mobile app talent ecology in Malaysia; let’s
encourage these groups to use open data ” –
OR Tech
• “We need to hear more of “Yes, and..” rather than,
“Yes, but” – Transit Watch
• “What are the Win-Win partnerships and
arrangements we can make?” - PropStats
Next steps..
• Communicate public value: What does the
public get back? What’s in it for me?
• Create buzz and excitement around open data
• Demonstrate value
• Overcome defensiveness and silos
• Guerilla tactics: cut out intermediaries and
gatekeepers e.g. crowdsourcing data
• Funding for open data projects
Data Wish List: data.gov.my
• Live: not just historical data for economic
modelling etc.
• Greater range of datasets
• Socialisation of datasets
Towards #opendata stories: what are the
benefits?
Towards Informal Data
Economies
“Large organisations
should make concerted
efforts to release data
to the public in
machine-consumable
form to unlock value
hidden within their
data assets.”
Greater awareness needed of
IP arrangements
• What constitutes Fair
Use?
• Exchange of value?
• Education on
licensing and creative
commons
CC Malaysia Mixtape 2015 by Muid
Latif under CC BY NC ND
Cultures of giving back
• APIS to allow other researchers and users to
build on their datasets and aggregations.
• Can be used back for R&D, and discovery of
use cases
• Open source; help to improve original dataset
• Share infrastructure, talent and resources.
Skills Gaps: we need to
democratize big data
• Increasing number of data science programs in
Malaysia via government, industry and
education providers
• Focus on STEM (science, technology,
engineering, maths)
• Data and technical literacy becoming
mandatory for end-users e.g. media /
communication / journalist graduates
• Community groups e.g. Big Data Malaysia
Current research
survey.bigdatamalaysia.org
Join our community to tap into
Big Data talent
facebook.com/groups/bigdatamy
sandra@bigdatamalaysia.org
@sandrahanchard

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Open and Proprietary Data Economies in Malaysia: The Consumption Perspective

  • 1. Sandra Hanchard Kuala Lumpur, 18 August 2015 Open and Proprietary Data Economies in Malaysia: The Consumption Perspective BIG DATA MALAYSIA @ Open Government Partnership Seminar and Exhibition
  • 2. About Big Data Malaysia • Community for professionals with interest in all things Big Data • 3,000+ people across channel network • Since 2012, organising regular free educational topic-based meetups (e.g. Data science, Dataviz, Open Data + more) • Partners & supporters: Experian, Teradata, Nintex, F-Secure, MoneyLion, MDeC + more • We are: Engineers, Data Scientists, Analysts, End-Users, Managers, CxOs, Entrepreneurs
  • 3. MYL Interest in Big Data • No longer in domain of ICT firms; cross industry incl. marketing, education, scientific, finance, media, manufacturing etc. • Driven by top-line revenue & business growth, versus bottom-line factors such as efficiency
  • 5. Commercial use of open data in Malaysia still nascent • What does open data mean in a commercial context? • “Open data has minimum barriers: legal, commercial and tech.” • Stimulating and regulating consumption economy of open and proprietary datasets.
  • 8. “Informal” / Open Data approaches in Malaysia WHO • Data-driven businesses • Analytics and dataviz consultancies • Startups: intermediaries and aggregators • MNC credit and financial sectors HOW • Behavioural targeting and advertising • Free recent data, premium historical data • Tools, easy to consume statistics, insights • Reputation endorsement
  • 9. Value: Bring data to life through visual analytics, encourage citizen engagement
  • 10. Value: More efficient public transport system for low-middle income Malaysians
  • 11. Digitization efforts Value: Pricing transparency in property market: balance information asymmetries
  • 13. Value: Access to credit and personal financial management
  • 14. Perspectives on open data in MYL • “We can do more; and more quickly. We have a strong mobile app talent ecology in Malaysia; let’s encourage these groups to use open data ” – OR Tech • “We need to hear more of “Yes, and..” rather than, “Yes, but” – Transit Watch • “What are the Win-Win partnerships and arrangements we can make?” - PropStats
  • 15. Next steps.. • Communicate public value: What does the public get back? What’s in it for me? • Create buzz and excitement around open data • Demonstrate value • Overcome defensiveness and silos • Guerilla tactics: cut out intermediaries and gatekeepers e.g. crowdsourcing data • Funding for open data projects
  • 16. Data Wish List: data.gov.my • Live: not just historical data for economic modelling etc. • Greater range of datasets • Socialisation of datasets Towards #opendata stories: what are the benefits?
  • 17. Towards Informal Data Economies “Large organisations should make concerted efforts to release data to the public in machine-consumable form to unlock value hidden within their data assets.”
  • 18. Greater awareness needed of IP arrangements • What constitutes Fair Use? • Exchange of value? • Education on licensing and creative commons CC Malaysia Mixtape 2015 by Muid Latif under CC BY NC ND
  • 19. Cultures of giving back • APIS to allow other researchers and users to build on their datasets and aggregations. • Can be used back for R&D, and discovery of use cases • Open source; help to improve original dataset • Share infrastructure, talent and resources.
  • 20. Skills Gaps: we need to democratize big data • Increasing number of data science programs in Malaysia via government, industry and education providers • Focus on STEM (science, technology, engineering, maths) • Data and technical literacy becoming mandatory for end-users e.g. media / communication / journalist graduates • Community groups e.g. Big Data Malaysia
  • 22. Join our community to tap into Big Data talent facebook.com/groups/bigdatamy sandra@bigdatamalaysia.org @sandrahanchard