Data Analytics: Getting Value out of Data by Abdirizak Warsame

Transcript

1. Data Analytics: Getting Value out of Data Abdirizak Warsame Abdulle Vice President - Academic Jamhuriya University of Science & Technology - JUST
2. Introduction • “This morning Facebook suggested my scary ex out of nowhere. There's no contact information in my phone or shared friends with said entity."
3. Introduction • How does Facebook suggest people you may know? • How do Amazon (and other websites) recommend you other products you may like? • How do Gmail, Outlook, etc. classify emails as spam, advertising, etc. • The answers to all these daily questions lie in data analytics
4. Data All Around • Lots of data is being collected and warehoused • Web data, e-commerce • Financial transactions, bank/credit transactions • Online trading and purchasing • Social Network
5. Case Studies
6. Case Studies
7. Case Studies
8. Types of Analytics
9. Steps in Data Processing Acquir e Prepar e Analyz e Report Act
11. Machine Learning
12. Machine Learning
13. Types of Learning
14. Why Data Analysis Benefits: • Better decisions with quantifiable data • Finding trends that may help in setting goals • Identifying opportunities
15. Why Data Analysis Benefits: • Identifying and refining target audiences • Delivering relevant products • Personalization and service
17. Thank you