Big Data Analytics, Data Scientist, Data Culture

1. The Data-Driven Economy
By Komes Chandavimol
May 12, 2019

2. Komes (Big) Data Career

3. https://www.youtube.com/watch?v=jHNetehfW9w
How will you work in 2030?
Copyright 2019 Komes Chandavimol. All Rights Reserved

4. Big Data Around us
Copyright 2019 Komes Chandavimol. All Rights Reserved

5. Big Data around us
Copyright 2019 Komes Chandavimol. All Rights Reserved

6. Big Data
http://www.adweek.com/prnewser/how-many-times-do-the-worlds-social-media-users-click-every-minute/117427
https://www.domo.com/learn/data-never-sleeps-3-0
Copyright 2019 Komes Chandavimol. All Rights Reserved

7. Internet of Things
http://topmanagement.com.mx/innovacion-social-y-empresarial-objetivo-de-hitachi/

8. 8
http://www.adweek.com/prnewser/how-many-times-do-the-worlds-social-media-users-click-every-minute/117427
https://www.domo.com/learn/data-never-sleeps-3-0
The Growth of Data

9. 9
http://www.adweek.com/prnewser/how-many-times-do-the-worlds-social-media-users-click-every-minute/117427
https://www.domo.com/learn/data-never-sleeps-3-0
What is Big Data?

10. Challenge in Big Data
Size
Speed
Complexity
Quality

11. 11http://blogs.forrester.com/category/hadoop
http://solutions.forrester.com/Global/FileLib/webinars/Big_Data_-_Gold_Rush_or_Illusion.pdf
The Big Data Tools

12. http://thebigdatablog.weebly.com/blog/the-hadoop-ecosystem-overview
Copyright 2019 Komes Chandavimol. All Rights Reserved
The Big Data Tools

13. The Big Data Tools

14. 14
http://hortonworks.com/blog/optimize-your-data-architecture-with-hadoop/
Traditional Data Management Architecture

15. 15
http://hortonworks.com/blog/optimize-your-data-architecture-with-hadoop/
New Data Management Architecture

16. 16
https://www.digitalnewsasia.com/business/forget-data-warehousing-its-data-lakes-now
Data Lake

17. How the Data Lake works?
17
http://www.clearpeaks.com/blog/category/tableau
Traditional Enterprise Data warehouse
Copyright 2019 Komes Chandavimol. All Rights Reserved

18. The Big Data Landscape

19. Big Data + Analytics = Value

20. Big Data Analytics
20
http://dataofthings.blogspot.com/2014/04/the-bbbt-sessions-hortonworks-big-data.html
Copyright 2019 Komes Chandavimol. All Rights Reserved

21. Big Data Analytics
21
http://www.gartner.com/it-glossary/predictive-analytics

22. Data
New Analytic Insights
(Information, knowledge, data story)
Data Product
+ VisualizationMass Analytic Tools
Data Mining/Machine Learning
Recommender systems
Complex Event Processing Data Science Team
Data Scientist
Picture:http://www.clipartpanda.com/categories/scientist-clip-art
The Roles of Data Science
Doing Data Science by O'Neil et al (2013)
Datafication
Copyright 2019 Komes Chandavimol. All Rights Reserved

23. The Rise of Data Scientist
23
http://flowingdata.com/2009/06/04/rise-of-the-data-scientist/
2009
https://hbr.org/

24. Data Science Experience Sharing, Big Data Challenge #2,Bangkok Thailand
http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram
What is Data Science?

25. 25http://hrb.org
http://www.anlytcs.com/2014/01/data-science-venn-diagram-v20.html
2014
The Rise of Data Scientist

26. Data Science Experience Sharing, Big Data Challenge #2,Bangkok Thailand
http://www.anlytcs.com/2014/01/data-science-venn-diagram-v20.html
2014
The Data Science

27. The Team of Data

28. 28
Data (Science) Team
Doing Data Science by O'Neil et al (2013)

29. 29
Doing Data Science by O'Neil et al (2013)

30. 30
Data Science Team
Data Scientist & Data Engineer
http://www.kdnuggets.com/2015/11/different-data-science-roles-industry.html

31. 31
Data Science Team
Data Scientist & Data Engineer
http://www.kdnuggets.com/2015/11/different-data-science-roles-industry.html
https://www.facebook.com/DataScienceTh/posts/931828353527079:0

32. 32
Data Science Professionals
http://www.kdnuggets.com/2015/11/different-data-science-roles-industry.html

33. 33DataInquest – Predictive Analytics and Data Science Bootcamp

34. Data Science is a Team Sport
http://www.ibmbigdatahub.com/blog/why-data-science-team-sport

35. Big Data Use Cases
By Data-Driven Team

36. HR Analytics – Google Hiring
Data sources: Historical hiring attributes
Data products: Predictive model – recruiting
high performer
Behavioral Test
Situational Test
GPA
Brain Teaser
Good School
http://www.kornferryinstitute.com/briefings-magazine/summer-2014/big-data-predictive-analytics-and-hiring
Credit: Jarun Ngamvirojcharoen

37. Fraud Detection
Data sources: historical pattern of transaction data
Data products: predictive models – fraud/non-fraudhttps://bluefishway.com/2013/09/13/panic-oh-no-not-again/
http://blogs.wsj.com/cio/2015/08/25/paypal-fights-fraud-with-machine-learning-and-human-detectives/
Credit: Jarun Ngamvirojcharoen

38. Recommendation System
Data sources: Click Streams, Customer Behaviors
Data products: Prescriptive analytics – Personalized Marketing,
Recommended Pages
Personalized Shopping Experience
Data sources: Click Steam, Customer History, Call Center ID
Data products: Omni- Channel Prediction, Customer Journey

39. Rolls-Royce Data Labs
Data Scientist, Visualization Specialist, Data Engineer, Business Analytics
https://www.youtube.com/watch?v=AOdH9aZVdaE

40. Monitoring and Maintenance
Data sources: IoT Sensors in factory
Data products: predictive maintenance models
http://www.electrex.it/en/news/600-automated-energy-management-system-a-enms-for-cement-production-plants.ht
http://www.digitalistmag.com/digital-economy/2015/12/01/iot-digitization-reinforce-cement-industry-03814141
Credit: Jarun Ngamvirojcharoen

41. Fuel Saving
Data sources: Telematics (sensor), GPS
Data products: Prescriptive analytics – route
optimization, predictive maintenance
(parts/malfunction)
http://www.cnet.com/news/ups-turns-data-analysis-into-big-savings/
http://www.cnet.com/news/ups-turns-data-analysis-into-big-savings/ Credit: Jarun Ngamvirojcharoen

42. Customer Engagement
Data products: Customer Segmentation, Marketing Effectiveness

43. More Data-Driven Use Cases

44. Customer Engagement + Supplier Chain + Location
Data sources: Mobile App, Loyalty Program, GIS
Data products: Buying behavior analysis, coupon-response model , location optimizationhttp://www.fastcompany.com/3020859/most-creative-people/how-chinas-one-child-policy-forced-starbucks-to-rethink-its-beijing-sto
https://digit.hbs.org/submission/starbucks-driving-customer-engagement-via-digital-innovation/
Credit: Jarun Ngamvirojcharoen

45. Menu Design and Optimization
Data sources: Customer Activities, Local consumption
Data products: Personalized Coffee and customized products

46. Location Analytics
Data sources: Customer Sales Activities, Loyalty Program, GIS
Data products: Real-Estate Decision, Location expansion/closure
https://qz.com/334269/what-starbucks-has-done-to-american-home-values/

47. Personalized Attentions
Data sources: Customer Sales Activities, Loyalty Program, GIS
Data products: Customer Experience, Customer Network

48. More Data-Driven Use Cases

49. Build a Data Team1.
Fix the basics
Hybrid Analytics Team De-centralized Analytics TeamCentralized Analytics Team
DA
BU
DA BU
IT
DS BA
BU
IT
IT DA
BA
DT DM
DM DS
BADT
DSDM
Recommended option
BADT
Adapt a new ways of
working
2.

50. How Data Team works?
BABA
DS
A data-driven Sprint
A Sprint takes 3-4 weeks to deliver product to
customers and continue to improve both new
feature and data Insights
A New way of working
Starting with problems, identify the possible
solutions and develop the products

51. The Next Step is to build Data Culture
3 – 24 months
DA
DSDM BA
DA
DSDM BADT
Expand A team2.Build A team1.
12 – 18 months
Build a culture3.

52. The Next Step is to build Data Culture
Focusing on training everyone to be a Data Champions

53. Workshops
Analytics
Training Data Team
Big Data Tools
Training
Progress
Vendor SupportIT Support
Try and Error
AI
The Next Step is to build Data Culture
Focusing on training everyone to be a Data Champion (2 months)

54. Data Team
Everyone Can do Analytics!
Champion #1
1
2
3
Champion #2
Transform to Data-Driven Culture

55. How can we start?