3. Big data:
using structured and unstructured data
in innovative ways to promote efficiency,
productivity and to develop new product
offerings in a more meaningful way.
4. Commercialisation of disruptive
new data-driven services is
reshaping our economy
Examples:
• data analytics
• machine learning
• artificial intelligence
• data brokerage
• data marketplaces
• On-demand services
11. From BIG data to SMART data
with AI and machine learning
Create value by focusing on meaningful pieces of
information for more accurate decisions
12. UI that can read your mind
to suggest or highlight
actions that are relevant will
generate biggest value
Improve engagement and turning first time customers into repeat buyers.
13. 45%of online shoppers
are more likely to shop on a site
that offers personalised
recommendations
Source: Invesp
14. How can data improve eCommerce?
Predictive Analytics
Predictive Search
Targeted Recommendations and Promotions
Pricing Optimisation
Fraud Management
Inventory Management
Business Intelligence
15. How can the legal and policy
environment be changed to
support data-driven
economic activities?
Help incumbents evolve: build
collaboration and networks to
spur innovation
Maintain effective market
competition, ease of market
entry
Test in Sandbox: more
collaborative approach to
regulation, test first regulate later
Clarity in regulations: foster
certainty and consumer trust
Open data and API: in public
and private sector