Scaling Your Enterprise With Data Science
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The document discusses Superfluid Labs, a data analytics firm that helps enterprises use data science and machine learning. It outlines their mission and vision, provides examples of case studies where they helped clients with predictive modeling and analytics. The presentation then covers developing a data science strategy, including building a data science team, prioritizing projects, and ensuring executive buy-in. Finally, it discusses the typical data science process and popular tools used.
Scaling Your Enterprise With Data Science
- 1. 1 WIN WITH DATA Scaling your Enterprise with Data Science Germany | Ghana | Kenya Superfluid Labs Limited @SuperFluidLabs | www.superfluid.io | [email protected] Location: Germany, Ghana and Kenya SUPERFLUID LABS LTD | Copyright (c) |
- 2. Speakers SUPERFLUID LABS LTD | Copyright (c) | 2 Timothy Kotin Co-Founder & CEO Superfluid Labs Gilbert Langat Data Scientist Superfluid Labs Yvette Titriku Data Scientist Superfluid Labs
- 3. 3 Speakers Timothy Kotin Co-Founder & CEO BS Computer Science and Engineering Research Scientist MPhil Engineering for Sustainable Development Specialized Consultant Yvette Titriku Data Scientist BSc Actuarial Science Industry Experience MS Applied Statistics Gilbert Langat Data Scientist MS Mathematical Sciences Industry Experience MS Mathematics
- 4. Session Outline 4 Introduction and Overview •Superfluid Labs •AI, Machine Learning and Data Science •Selected Client Case Studies Data Science Strategy •Roadmap to Becoming a Full Data-Driven Enterprise •Building Internal Capacity, Resources, and Tools •Critical Success Factors and Pitfalls to Avoid •Ensuring Sustainability of Data-Driven Transformation Data Science Business Process •Data Science Workflow •Common Tools for Data Science •Tips for Learning Data Science
- 5. Introduction and Overview SUPERFLUID LABS LTD | Copyright (c) 2019 5
- 6. We’re a data analytics firm that facilitates enterprises to develop digital platforms and new customer solutions driven by data, machine-learning and AI SUPERFLUID LABS LTD | Copyright (c) 2019 6 Germany | Ghana | Kenya OUR MISSION: To expand opportunity for people and businesses through the power of data.
- 7. Our Vision To be the preferred data-driven solutions partner for the most impactful organizations Industries and SDG Impact Financial Services| Retail & Commerce| Agribusiness | Clean Energy |Technology SUPERFLUID LABS LTD | Copyright (c) 2019 7
- 8. Market Validation and Experience SUPERFLUID LABS LTD | Copyright (c) | 8 CustomersExperience
- 9. Recognized as leader in Financial Services, AI and Big Data SUPERFLUID LABS LTD | Copyright (c) 2019 | 9 RecognitionsPartners&Compliance
- 10. What is data science, artificial intelligence and machine learning? SUPERFLUID LABS LTD | Copyright (c) 2019 10 Data Analytics - evolutionary step in analytics combining computer science, statistics, mathematics and machine learning to analyze large amounts of data and extract useful knowledge Artificial intelligence (AI) is a branch of computer science dealing with the simulation of intelligent behavior in computers. Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead.
- 11. 11 Why is data science important? ●Promotions ●Upsell ●Cross sell ●Pricing ●Shelf-space optimization ●Risk Modelling ●Fraud prediction ●Customer segmentation ●Portfolio optimization ●Market basket analysis ●A/B testing ●Sales forecasting ●Clinical trials of new drugs ●Campaign and sales program optimization ●Epidemic forecasting and control ●Chain management ●Customer acquisition strategies ●Upsell/cross sell ●Product bundling ●Mobile user location analysis ●Customer churn analysis e-commerce Health TelcoBankingRetail
- 12. 12SUPERFLUID LABS LTD | Copyright (c) 2019 Selected Case Studies
- 13. Predicting Customer Future Payment Behaviour 13 A distributed solar energy company that sells a wide range of solar off-grid units on credit using a pay-as-you-go (PAYGO) model. Client sought a platform to harness the existing rich customer datasets to develop machine learning systems that can predict: A. Future utilization rates of a portfolio of customers based on historical data B. Customer upgrade propensities and outcomes for new accessories offered by the client Challenge SFL mined the dataset to build a customized model that could (through prediction) enable… Tree N Tree 2 Tree 3 Tree 4 Tree 1 Targeted interventions Early repossession Upsell to good customers ✓ ✓ ✓ 30% increase in Monthly revenues Driven by early default predictions alone Success story 1 Success story 2 Success story 3 SUPERFLUID LABS LTD | Copyright & Confidential
- 14. Product Recommendation for Cross-sell of Electronics Devices 14 ▪ Current qualification criteria upgrades a lot of bad customers (44%) who have not yet established meaningful repayment history. ▪ Losses from bad upgrades outweigh the gains from good upgrades, leading to an average loss in LTV of -13 USD per upgrade, and lowers overall profitability Current situation With SFL Model 38USD New average Impact of upgrade with SFL Model +51 increase ▪ By accurately predicting upgrade outcomes (good or bad), our models improved lifetime value of upgrades by +51 USD -13USD Average impact of each upgrade on LTV Account Age at Upgrade Account Age (days) before upgrade SUPERFLUID LABS LTD | Copyright & Confidential Success story 1 Success story 2 Success story 3
- 15. Online Lender focused on E-Commerce Merchants 15 SITUATION Our client disbursed 1445 pilot loans to small merchants on popular e-commerce platforms. ● Total disbursed: USD 350,000 ● Financing fee: 6% per month ● Processing fee: USD 2-7 ● Loan tenor: 30 days PROBLEM OUR IMPACT $ 140,000 $ 231,000 +$91,000 repayments ❏ Good rate: 27.68% ❏ Bad rate: 72.32% ❏ Good rate: 65.85% ❏ Bad rate: 34.15% x 2.38 65.85% 34.15% 27.68% 72.32% SUPERFLUID LABS LTD | Copyright & Confidential Success story 1 Success story 2 Success story 3
- 16. 16SUPERFLUID LABS LTD | Copyright (c) 2019 Data Science Strategy
- 17. 17SUPERFLUID LABS LTD | Copyright (c) 2019 1. Culture – driving the change to a data-driven company 2. Buy-in – creating a corporate ambition for data science 3. Prioritization – choosing the right applications to deliver value 4. Team – building a data science capability 5. Speed – agile deployment Key areas to focus on to become a data driven enterprise
- 18. 18SUPERFLUID LABS LTD | Copyright (c) 2019 Data Culture ● Principle established in the process of social practice in both public and private sectors ● Requires all staffs and decision-makers ● Focus on the information conveyed by the existing data ● Make decisions and changes according to data results
- 19. Embracing the cultural shift to a data-driven • Recruiting a team of diversified backgrounds and experiences • Embedding new skills and ways of thinking within the business • Role model new capabilities and approach • Creation of Data Science and Analytics community • Involving everyone in new ideas and joining projects 19
- 20. 20SUPERFLUID LABS LTD | Copyright (c) 2019 You need wholistic Buy-in
- 21. 21SUPERFLUID LABS LTD | Copyright (c) 2019 Create a corporate ambition/ identify business objectives Deliver $100m benefit over the next 5 years using data science and analytics.
- 22. 22SUPERFLUID LABS LTD | Copyright (c) 2019 Prioritization - What matters most to your business? Guiding principles ● Must generate real benefits ● Customer perspective ● Clear ability to execute necessary business change ● Data – sufficient volume, quality and understood ● Business sponsorship ● Reuse and scalability
- 23. 23SUPERFLUID LABS LTD | Copyright (c) 2019 Building data science capability - define your needs ● Be clear what you want – data analyst, data architect, data engineer, data scientist, data artist(!) ● Hire for talent, train for tech skills ○ Analytical thinking and communication skills are harder to teach than SQL, Python and R. ● Broaden your pool of candidates ○ Diversity-increases your revenue by promoting innovation and creative thinking
- 24. 24SUPERFLUID LABS LTD | Copyright (c) 2019 Data science components
- 25. 25SUPERFLUID LABS LTD | Copyright (c) 2019 Building the Team-when starting out, a simple team might look like this: ● Project Manager/Owner (existing management) ● Data Scientist/Data Engineer (one new hire, and one existing staff member) ● Software Engineer (existing IT staff member) Tip: If you are just getting started in data science, it may be some time before you need a true data scientist for predictive modeling or machine learning — focus on hiring a data engineer first.
- 26. 26SUPERFLUID LABS LTD | Copyright (c) 2019 Speed - Agile development MVP a product with just enough features to satisfy early customers, and to provide feedback for future product development. (wikipedia)
- 27. 27SUPERFLUID LABS LTD | Copyright (c) 2019 Superfluid Labs Project Success Factors ● Executive Sponsorship ● Business Sponsor (makes it happen on the ground) ● Over-communicate to all stakeholders ● IT – senior IT support to circumvent usual cycle times ● Data – early analysis for quality ● Business Change – run parallel alongside data / modelling – is there an existing process to change? ● Team – right people, available, aligned and accountable ● Project Management – Agile methodology
- 28. 28SUPERFLUID LABS LTD | Copyright (c) 2019 1. Include all parts of the organization and stakeholders in the conversation 2. Create a corporate ambition/ business objectives 3. Build a data science capability 4. Prioritize all the things you could do to figure out where to start 5. Define your roadmap with an end-point in mind 6. Adopt agile methodology 7. Embracing the cultural shift to a data-driven company Data-Driven Strategy Checklist
- 29. 29SUPERFLUID LABS LTD | Copyright (c) 2019 Data Science Business Process
- 30. 30SUPERFLUID LABS LTD | Copyright (c) 2019 Data science workflow ● Business - understand business operations and business problem ● Data - acquire and understand data components ● Exploratory Analysis - visually and statistically explore data to generate hypothesis ● Data Preprocessing - clean and transform data ● Feature Engineering - generate additional features/ variables ● Model Development and Deployment - train, test, deploy and monitor predictive model ● Data Visualization - visualize and communicate key insights to inspire stakeholder action ● Business Analysis - analyze impact/value of model on business vs business-as-usual
- 31. 31SUPERFLUID LABS LTD | Copyright (c) 2019 Popular Data Science Tools
- 32. SuperFluid Labs Data Analytics Platform SUPERFLUID LABS LTD | Copyright (c) | 32 The Superfluid’s platform mines data to deliver these capabilities using proprietary algorithms and artificial intelligence SuperScore™ Digital Credit Scoring Solution powered by artificial intelligence SuperML™ Automated Data Science and Machine Learning Platform SuperBI™ Business Intelligence, Customer Insights and Analytics Platform SUPER ENTERPRISE PLATFORM SuperLife™ Intelligent Marketplace and Business Ecosystem Platform
- 33. 33SUPERFLUID LABS LTD | Copyright (c) 2019 Tips for learning and doing data science ● Understand the fundamentals ● Acquire domain knowledge ● Keep the data science problem in focus ● Learn the functions and modules frequently used during each stage of the data science process ● Learn and improve programming skills ● Learn by doing. Create a data science portfolio
- 34. 34SUPERFLUID LABS LTD | Copyright (c) 2019 Interesting Insights from Our Webinar today
- 35. SUPERFLUID LABS LTD | Copyright (c) 2019 35 Global Participation 46.34% 14.63% 13.41% 8.54% 4.88% 3.66% 3.66% 2.44% 1.22% 1.22%
- 36. 36SUPERFLUID LABS LTD | Copyright (c) 2019 Participants come from varied Industries
- 37. 37SUPERFLUID LABS LTD | Copyright (c) 2019 Participants come from varied Professional Backgrounds
- 38. 38SUPERFLUID LABS LTD | Copyright (c) 2019 Most Popular Channels
- 39. 39SUPERFLUID LABS LTD | Copyright (c) 2019
- 40. Join Win with Data community on Facebook • Join to participate in our periodic interactive sessions where experts will be available to answer questions from community members 40 Winwithdata
- 41. 41 Let’s expand opportunities for people and businesses www.superfluid.io | [email protected] THANK YOU SUPERFLUID LABS LTD | Copyright (c) |