RTL Data Expo 2024

Transcript

2. Why are we here? Nela Chereja Data Engineer Joan Chan Team manager Data Analytics & Research
3. Why are YOU here? Why is having an academy important What makes it successful How do you set one up What if you see bears on the road
6. Outside RTL Outside RTL
7. Centralizing the Data team Data team Videoland Data Analysts Digital Analysts BI specialists CRO Specialists Research Data team TV Data Analysts Data Science & Engineering Data Scientists Data Engineers
8. Centralizing the Data team Data Analisten & Research Digital Analtyics & CRO Data Science BI & Engineering
9. “What can we do to empower the data driven culture within RTL?” It all started on an offsite
10. 3. Plan first session 2. Brainstorm 1. Set up a team
13. Data-driven decision-making starts with education and training through an academy
14. Inspire others Be more visible Centralize
15. Inspire others
16. Small part of RTL = Tech Everyone works with data but is not part of the department
17. Educate Inspire Discover Engage & Encourage How we engage & encourage involvement
18. Handful got very excited Feedback We are getting help from HR Sessions being to tech-y People didn’t understand what the academy does
19. Inspire others Be more visible
20. Make people curious
21. How to find us
22. Start inspiring
24. NEW! Podcast!
25. NEW! Experience room!
26. More people joining the sessions What worked? What didn’t? Reaching different departments Team finding the time & motivation Support from management
27. Time & Effort Meetings Dry runs Brainstorms Retro Organization Initatives
28. Inspire others Be more visible Centralize
29. Team Management Organization Support Time Responsibility Improve Allignment
30. Inspire others Be more visible Centralize
31. Data-driven decision-making starts with education and training through an academy ... but building an academy takes a lot of time & effort However, centralizing the initiatives into an academy gives it the structure and continuity to succeed … because without visibility there is no usage, therefore no value in data … because only a small part of RTL is Tech and we should inspire others
33. Reach out to us! Nela Chereja Data Engineer Joan Chan Team manager Data Analytics & Research linkedin.com/in/chanjoan linkedin.com/in/nela-chereja