Glen Rabie Co-Founder & CEO Yellowfin

1. Extractingtransformationalvaluefromyour
data

2. Glen Rabie
The Big Fish (CEO)
Data Geek

3. 3
Innovating with data

4. The opportunity
Innovating with data
McKinsey
quintillion bytes of data
created each day
2.5 Of the world GDP
2-5%Trillion in global
economic value
$3-5
Forbes McKinsey

5. Why innovate with data?
Adding a data strategy to your start-up considerations
5
1. A stickier / better customer experience
2. New products and services
3. New Revenue Streams
4. Proof point for your core value prop
5. Competitive differentiation
Innovating with data

6. How to innovate with data?
Adding a data strategy to your start-up considerations
6
1. Basic Data Dashboards & Insights
2. Benchmarking The network effect
3. Enriching Adding 3rd party data to your own
4. Predictive Enriching with Data Science
5. Eco System Enriching with adjacent partners
6. Trade Data Sell data to 3rd parties
Innovating with data

7. For whom?
Think beyond your customers
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1. Customers… Yes but
2. Partners
3. Suppliers
Innovating with data

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Innovating with data

9. Data for city planning
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San Francisco-based Populus is an emerging player in the smart city
space and amalgamates data from a variety of ride-hailing, car and
bike sharing as well as e-scooter operators to help city authorities better
plan their traffic and parking strategies. It adds value through being an
aggregator for these data sources and presenting it in formats that city
planners can easily work with.
Innovating with data

10. Harvesting the social web
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London-based Black Swan is offers up-to-the-minute insights to large
FMCG firms into emerging consumer behaviour patterns. It harvests data
from online forums, social media and product review sites analyzing it to
spot trends. These insights which often provide more accurate and timely
data than relying on more traditional methods such as consumer panels
and surveys.
Innovating with data

11. Marketing insights from WiFi
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British-based Purple extracts value from the data users provide when
they log in to public WiFi networks in hotels, shops and other
commercial locations. The data they capture may contain dates of birth
and personal interests as well as frequency of visits and movement
within locations. Their value proposition to the location operators is based
around delivering more personalised marketing campaigns and, in
their own words, “transforming your guest WiFi network into a revenue
generating tool for your business”.
Innovating with data

12. Keylessonslearned
1. Bigger data sets do not always equal market
success.
2. Creative ways to repurpose niche data can be a
far more successful way of building a
sustainable business model.
3. Much of the data can be collected from external
sources and it is proprietary software that adds
the value.

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Innovating with data

14. Know your data
Getting the data right is the hard part
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1. Data Quality
2. Data Breadth
3. Aggregation Level
Innovating with data

15. The right to use
Regulatory, Ethical & Commercial Challenges
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1. Ownership
2. Privacy
3. Bias / Discrimination
Innovating with data

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Innovating with data

17. What do you need
The right components to succeed
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1. Data sets
2. Skill sets
3. Tool sets
4. Mind set
Innovating with data

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