56 min listen
62: Cracking the Data Code w/ Mike Bugembe
ratings:
Length:
72 minutes
Released:
Aug 12, 2020
Format:
Podcast episode
Description
Mike Bugembe is a speaker, consultant, and Amazon best selling author of the book Cracking the Data Code. He joins today’s podcast to talk about the things that you can do that will help create successful analytics projects. After being the head of business intelligence for one of the largest diamond companies in the world, and seeing project struggle or fail, Mike went on a journey to find out why some unicorn companies like Netflix were succeeding in analytics, which traditional companies were not. In today's interview, he discusses the five key traits of a successful project and why 90% of enterprises data are missing most of them. Listen in to hear what Mike has to say about finding use cases for AI, learning how to ask data questions, and the biggest obstacles companies face when trying to unlock the value of their data. [03:42] - Cracking the Data Code: 5 Things that successful unicorn companies are doing that you are not for your data projects [24:43] - Key Quote: “Around 75% of investments in data fail to see any return on investment.” –Mike Bugembe [31:18] - How to offer a skillshare to teammates For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/62 Enjoyed the Show? Please leave us a review on iTunes. Check out our sponsor! Are you a BI/Analytics leader who is tired of creating useless reports or dashboards? Are you struggling to get users over to your BI portal? Ever thought about embedding your analytics? If so, then you have to check out Logi Composer, the first ever out of the box development experience for teams who want to get up and running fast! Logi Analytics is offering AoF Listeners a special 14-day trial to get up and running fast! Just visit - logianalytics.com/aof
Released:
Aug 12, 2020
Format:
Podcast episode
Titles in the series (71)
37: Secrets of Building Actionable KPIs w/ Mico Yuk: What problems do you have with key performance indicators (KPIs)? Are they actionable or not? How do you measure them? Today, I’m sharing a session that I did that was rated #1 at the Real Business Intelligence event at MIT back in 2017. It's... by Analytics on Fire