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Working with the CEO to translate data into
action and insights
We exist to
HELP COMMUNITIES THRIVE
Objective
Our Journey
• Working with the CEO
• Creating a Team
• Selling the value of data
• Creating a tool agnostic cult...
We exist to make communities thrive
Our mission
• We exist to help people send and
receive money, when they need to
most, ...
Meet Mike
With Data Without Data
Meet Data
Without Mike’s
buy in
With Mike’s Buy
in
How it began
• The Journey
• 2 Data Analysts and a vision
• Sell x 3
• Deliver x 10
• Budget vs Malawi magic
• Top Down
• ...
Talent in action
• Prevent the bozo explosion
• Hire A Players
• A Players hire A Players
• No Experts = No Bottlenecks
• ...
Creating a culture of curiosity
• Data centricity is just the art of being curious
• Showcase the data
• Give people what ...
Creating a culture of curiosity
Build those support structures (Silos)
• Data is a support structure, not a department
• Don’t build silos like you used t...
Turning data into action – the data flywheel
Applying the data flywheel to change behavior
Data
Analyze
QV
Python
API
Salesforce
Cases
Operational
Workflows
Action
Fee...
Applying the data flywheel to change behavior
Applying the data flywheel to change behavior
Applying the data flywheel to change behavior
Applying the data flywheel to change behavior
Applying the data flywheel to change behavior
Taking Data to the streets
Data Science in Africa?
• Segmentation
• Float prediction
• Expected arrival rates
• Saturation...
Taking Data to the streets
Sneak Peak into the future
So What?
How does this impact the
consumer?
• Meet Misozi
• 35 Jobs
• 40mil USD
• 200 000 consumers
Summary
• Become the Client
• Create a culture of curiosity
• Embrace and celebrate failure
• Perfection is the enemy of d...
Final Thought
Each day I tally up the good and the bad outcomes.
No matter how small, if the good outweighs the bad, then ...
Q3 OKRs
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Zoona presentation at the Chief Analytics Officer Forum, Africa 2016

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The Chief Analytics Officer (CAO) Forum Africa has been designed to bring the senior analytics community together to discuss the most critical data and analytics challenges for areas including finance, human resources, sales and marketing, the supply chain, risk, investment and most importantly, the customer.

Research conducted by Corinium Global Intelligence shows that South African organisations are beginning to realise the value that lies within their data but face numerous challenges to realising this value as they are not yet mature enough in their data & analytics journey to move to a CAO structure.

Veröffentlicht in: Daten & Analysen
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Zoona presentation at the Chief Analytics Officer Forum, Africa 2016

  1. 1. Working with the CEO to translate data into action and insights We exist to HELP COMMUNITIES THRIVE
  2. 2. Objective Our Journey • Working with the CEO • Creating a Team • Selling the value of data • Creating a tool agnostic culture • Using the data flywheel to close the loop on data and action
  3. 3. We exist to make communities thrive Our mission • We exist to help people send and receive money, when they need to most, so that communities can thrive
  4. 4. Meet Mike With Data Without Data
  5. 5. Meet Data Without Mike’s buy in With Mike’s Buy in
  6. 6. How it began • The Journey • 2 Data Analysts and a vision • Sell x 3 • Deliver x 10 • Budget vs Malawi magic • Top Down • FFWD 2 years – • Team of 8 data analysts, 2 data scientists, 8 process engineers
  7. 7. Talent in action • Prevent the bozo explosion • Hire A Players • A Players hire A Players • No Experts = No Bottlenecks • Always hire people that can do the job better than you can
  8. 8. Creating a culture of curiosity • Data centricity is just the art of being curious • Showcase the data • Give people what they need not what you think they need • Get the bottom-up support
  9. 9. Creating a culture of curiosity
  10. 10. Build those support structures (Silos) • Data is a support structure, not a department • Don’t build silos like you used to • Build fully integrated, diverse, functional units • Total integration with complete buy-in • Cultural - and tool diversity
  11. 11. Turning data into action – the data flywheel
  12. 12. Applying the data flywheel to change behavior Data Analyze QV Python API Salesforce Cases Operational Workflows Action Feedback Float Risk Credit Profit Data and action
  13. 13. Applying the data flywheel to change behavior
  14. 14. Applying the data flywheel to change behavior
  15. 15. Applying the data flywheel to change behavior
  16. 16. Applying the data flywheel to change behavior
  17. 17. Applying the data flywheel to change behavior
  18. 18. Taking Data to the streets Data Science in Africa? • Segmentation • Float prediction • Expected arrival rates • Saturation Analysis • Geospatial Analysis • Dynamic Credit Limit • Corridors
  19. 19. Taking Data to the streets
  20. 20. Sneak Peak into the future
  21. 21. So What? How does this impact the consumer? • Meet Misozi • 35 Jobs • 40mil USD • 200 000 consumers
  22. 22. Summary • Become the Client • Create a culture of curiosity • Embrace and celebrate failure • Perfection is the enemy of done
  23. 23. Final Thought Each day I tally up the good and the bad outcomes. No matter how small, if the good outweighs the bad, then it has been a good day. Success then becomes the accumulation of all the good days -Yusuf Randera Rees – CEO of Awethu
  24. 24. Q3 OKRs

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