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Winning with a top down data culture
Deepan Nithi
September 2017
What I’ll cover today
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• Background on Lotto NZ and why we need analytics
• Leading analytics teams and the importance of a top down data culture
• Self service analytics at Lotto
Lotto NZ - Purpose
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To provide safe gaming that allows New Zealanders to play and win
while contributing money back to New Zealand communities
Lotto NZ - background
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• Crown entity established
in 1987
• 100% of Lotto profits are
returned to the community
• Last year $204 million
went back to the
community
• Over 3,000 organisations
and projects receive
lotteries grants each year
Lotto NZ - background
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Lotto NZ - background
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• Largest retail network in NZ with
over 1,450 stores
• Currently 1 store per 3,200 people
• Over 80% customer penetration
83%
4%
13%
Our games
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Why analytics at Lotto?
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Why analytics at Lotto?
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Why analytics at Lotto?
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Data culture at Lotto
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• Strong backing from the CEO and executive teams
• Investments made for a sound BI and reporting platform
• Access to some high calibre analytics partners
• Roadmap in place to future proof our analytics capability
• Data at the centre of decision making
The analytics team
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• Where should the team sit?
• What size ?
• Skill set?
• Do we all need data scientists?
• Outsource or internal?
Data culture at Lotto
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Data culture at Lotto
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Self service analytics at Lotto
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• Why self service?
Enable access to data insights as and when required
Reduce reliance on the analytics team
Improve understanding of our data
Faster decision making
• Risks
Potential misinterpretation of data or visualisations
Poor decisions made as a result
More reporting than analytics
Self service through Power BI
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Self service through Power BI
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Analytics on the road
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Where to next?
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Questions?
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