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Q&I - Why Most NBA Metrics Are Useless, Dealing With the Death of Marketing Attribution, and the Positive Signs of Data Adoption.
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เนื้อหาจัดทำโดย Ruben Ugarte เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดเตรียมโดย Ruben Ugarte หรือพันธมิตรแพลตฟอร์มพอดแคสต์โดยตรง หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่อธิบายไว้ที่นี่ https://th.player.fm/legal
This is the second-ever Q&I, Questions, and Insights. There's no one else here and I'm answering your most popular questions. This is a new format that I will be releasing in-between the interview episodes which come out every two weeks.
These are the questions for this week's episode:
1. What do you think of the usage of analytics in sports like basketball and baseball?
2. How do you deal with data discrepancies?
3. At what company stage or size would you recommend hiring a dedicated data analyst?
4. What do you think will happen to mobile attribution since Apple is making the IDFA opt-in?
5. How do you build great dashboards or reports?
6. What are your recommendations for upgrading data tools that people aren’t using?
7. How do you know that a team is data-driven and what signs should I look for within my team?
8. Our team keeps making the wrong decision but we seem to have the right data. What are we doing wrong?
9. Our software tools are reporting different numbers for campaign performance. For example, Facebook is reporting 1000 conversions but our analytics tool is reporting 850 conversions. How could we solve this?
10. Do you think data will be less appreciated since people seem to rely less on facts?
If you have your own questions, submit them at ruben@practicoanalytics.com and I'll do my best to answer them in future episodes.
If you enjoyed this episode, be sure to subscribe and leave a rating within your favorite podcast platform e.g. Apple Podcasts, Spotify, and others.
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