Data-driven leadership culture
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Transcript of Data-driven leadership culture
Reaktor Mannerheimintie 2 00100, Helsinki Finland
tel: +358 9 4152 0200 www.reaktor.com [email protected]
Confidential ©2015 Reaktor All rights reserved
Data-driven leadership cultureJuuso Parkkinen (@ouzor)
Data Scientist and AI Designer at Reaktor (@ReaktorNow)
DataBusiness Challenge event, January 20th 2017
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Why data-driven?Firms that adopt data-driven decision making have output and productivity that is 5-6% higher than what would be expected given their other investments and information technology usage.
Source: Brynjolfsson et al. (2011). Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance? https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1819486
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Data-driven in practice
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Make data visible
REAKTOR JANUARY 2017 Source: https://commons.wikimedia.org/wiki/File:Contrexx_wms_3_dashboard.png
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Customer understanding
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Source: https://www.flickr.com/photos/coolinsights/24164542345
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Automatic recommendations
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What can go wrong?
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Enemies of data-drivenFocusing on the data instead of the business goals
Lack of clear use cases for analytics
Lack of collaboration across the whole organization
Silos with limited communication and access to data
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Enemies of data-driven (2)Strong egos and internal politics
Unrealistic expectations
Focusing on IT systems
Tech-decisions made by business people and vice versa
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Data-driven culture
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Culture is key!Aim at right and concrete goals
Understand risks, accept complexity
Make tests and experiments
Seek evidence and be courageous to act on it
Be transparent, break silos
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Data-driven culture at Airbnb“The foundation on which a data science team rests is the culture and perception of data elsewhere in the organization.”
“At Airbnb we characterize data in a more human light: it’s the voice of our customers"
Source: http://venturebeat.com/2015/06/30/how-we-scaled-data-science-to-all-sides-of-airbnb-over-5-years-of-hypergrowth/
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Start with business goals!
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Action Data Information
Bus
ines
s goal 1
goal 2
goal 3
goal 4
goal 5
Go through the business goals
Go through the possible actions
List information that enables the actions Find the relevant data
Analyse how the data can be used to obtain the relevant
information
Go through the project phases to enable the action, e.g. who in the
organization should participate
Present the results e.g. as new concept designs
and backlog for new data
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Netflix connects business goals and data“Our business objective is to maximize member satisfaction and month-to-month subscription retention, which correlates well with maximizing consumption of video content.
We therefore optimize our algorithms to give the highest scores to titles that a member is most likely to play and enjoy.”
Source: Xavier Amatriain and Justin Basilico (Personalization Science and Engineering), http://techblog.netflix.com/2012/04/netflix-recommendations-beyond-5-stars.html
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Go lean - experiment and iterate!
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Success story: Elisa Growth Hacking teamSingle goal: Improve sales.
Solution: A self-directing, lean startup, business driven money making machine.
“A team that crosses traditional boundaries. Constant look past the team’s own responsibilities by challenging, coaching and supporting on a larger scale.”
Best performing team award in Blue Arrow Awards, https://www.bluearrowawards.com/winners/
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You know nothing, Jon Snow
Juuso Parkkinen / @ouzor / Reaktor
You can do it.
We can help!
And we’re hiring: https://www.reaktor.com/careers/