From Self-Service to machine learning

Delivering analytic value across your organization.

Transcript

1. BIG DATA Agosto 25 y 26 | Lima – Perú 2018 ANALYTICS SUMMIT #BIGDATASUMMIT2018
2. Patrick Nussbaumer FROM SELF-SERVICE TO MACHINE LEARNING: DELIVERING ANALYTIC VALUE ACROSS YOUR ORGANIZATION
3. STATE OF DATA SCIENCE & MACHINE LEARNING Source: Kaggle.com/surveys/2017 Barriers Faced at Work
4. DATA SCIENCE TALENT 2 COLLABORATION 3 DATA 1 • Shortage of Talent • Explaining Data Science • Clear Question • Results not Used • Lack of Support • Dirty Data • Difficult to Access THREE BIG CHALLENGES DATA S C I E N C E & M AC H I N E L E A R N I N G
5. DATA 1 • Dirty Data • Difficult to Access THREE BIG CHALLENGES DATA S C I E N C E & M AC H I N E L E A R N I N G
6. ANALYTICS PROGRAM LANDSCAPE Distributed Data
7. ANALYTICS PROGRAM LANDSCAPE B U S I N E S S P R O B L E M B U S I N E S S I N S I G H T S Distributed Data Analytics
8. ANALYTICS PROGRAM REALITY The first mile of analytics Analytics B U S I N E S S P R O B L E M B U S I N E S S I N S I G H T S Find Duplicating
9. FINDABLE USABLE DISCOVER Disparate Data / Resources ENRICH Glossary / Association RE-USE Optimize / Innovate I N S I G H T S
10. DATA SCIENCE TALENT 2 DATA 1 • Shortage of Talent • Explaining Data Science • Dirty Data • Difficult to Access THREE BIG CHALLENGES DATA S C I E N C E & M AC H I N E L E A R N I N G
11. TALENT SHORTAGE ADVANCED SPREADSHEET + SQL USERS DATA SCIENTISTS BUSINESS ANALYSTS
12. STATE OF DATA SCIENCE & MACHINE LEARNING Source: Kaggle.com/surveys/2017 Tools Used at Work
13. ANALYTIC PROCESS Production and Output Find the right data asset Data Cleansing Prep and Blending Predictive and Prescriptive
14. ANALYTIC BARRIERS ADVANCED SPREADSHEET + SQL USERS DATA SCIENTISTS BUSINESS ANALYSTS SQL Production and Output Find the right data asset Data Cleansing Prep and Blending Predictive and Prescriptive
15. SQL REMOVE LANGUAGE BARRIERS ADVANCED SPREADSHEET + SQL USERS DATA SCIENTISTS BUSINESS ANALYSTS Production and Output Find the right data asset Data Cleansing Prep and Blending Predictive and Prescriptive MULTILINGUAL SOFTWARE
16. IMPROVE KNOWLEDGE BUSINSS ANALYSTS CITIZEN DATA SCIENTISTS DATA SCIENTISTS BUSINSS ANALYSTS ADVANCED SPREADSHEET + SQL USERS DATA SCIENTISTS
17. DATA SCIENCE TALENT 2 COLLABORATION 3 DATA 1 • Shortage of Talent • Explaining Data Science • Clear Question • Results not Used • Lack of Support • Dirty Data • Difficult to Access THREE BIG CHALLENGES DATA S C I E N C E & M AC H I N E L E A R N I N G
18. © 2017 Alteryx, Inc. | Confidential Download a FREE Trial: alteryx.com/trial 18
19. PLANNED WHAT IS THE ANSWER?
20. LEARNED WHAT IS THE QUESTION?
21. PLANNED LEARNED INNOVATIONS
22. INNOVATION PORTFOLIO
23. © 2017 Alteryx, Inc. | Confidential Download a FREE Trial: alteryx.com/trial 23 “IT IS THROUGH SCIENCE THAT WE PROVE, BUT THROUGH INTUITION THAT WE DISCOVER” -HENRI POINCARE
24. DATA SCIENCE TALENT 2 COLLABORATION 3 DATA 1 • Shortage of Talent • Explaining Data Science • Dirty Data • Difficult to Access THREE BIG CHALLENGES DATA S C I E N C E & M AC H I N E L E A R N I N G 24 D ATA A C C E S S I B I L I T Y F I N D A B L E / U S A B L E I M P R O V E K N O W L E D G E I N N O V AT I O N P O R T F O L I O • Clear Question • Results not Used • Lack of Support S O L V E T O G E T H E R M U L T I L I N G U A L S O F T W A R E
25. Patrick Nussbaumer pnussbaumer@alteryx.com GRACIAS