70: BIDS Accelerator Lessons Learned: What you Say

11/19/20 • 40 min

Welcome to the first part of a three-part podcast, with each episode touching on the part of our data storytelling framework. You’ll find a deep dive into each part of the framework and find out what lessons were learned and the big takeaways from our last data telling accelerator workshop, which was a huge success.

Even though there are other data telling stories schools of thought, one element our followers love is how we tackle the three parts of storytelling: what you say, what you write, and what you draw. As we’ve learned, this starts with your conversation.

Find out what feedback I received from the workshop post-survey, the biggest mistakes people make when trying to sell to end-users, and why most people don’t know that 99% of questions you ask your client are data-related and why they shouldn’t be.

[03:53] Storytelling starts with your conversation and with the content that you write. If you get that part right, the part that you have to visualize becomes very easy. We teach this process and also implement this process at big companies around the world.
[07:25] Guessing off the top of your head what you think is going to happen is a waste of time. The biggest value of our framework is breaking down the storytelling process into parts for you to be able to quickly see what a story truly is, how to bring it together, and to see the gaps in your current story to remedy those holes in your story and bring your story together.
[13:28] Humans make decisions with their emotions and then they use logic to justify it. So if you are one that is using ginormous words that are not visual or thinking that the more data you give to your end users is going to make them better users, you are grossly mistaken.
For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/70

Enjoyed the Show?

Please leave us a review on iTunes.

[03:53] Storytelling starts with your conversation and with the content that you write. If you get that part right, the part that you have to visualize becomes very easy. We teach this process and also implement this process at big companies around the world.
[07:25] Guessing off the top of your head what you think is going to happen is a waste of time. The biggest value of our framework is breaking down the storytelling process into parts for you to be able to quickly see what a story truly is, how to bring it together, and to see the gaps in your current story to remedy those holes in your story and bring your story together.
[13:28] Humans make decisions with their emotions and then they use logic to justify it. So if you are one that is using ginormous words that are not visual or thinking that the more data you give to your end users is going to make them better users, you are grossly mistaken.
For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/70

Enjoyed the Show?

Please leave us a review on iTunes.

Previous Episode

69: Could you use an Analytics Quarantune? w/ Tiankai Feng

Today’s episode features Tiankai Feng, Global Director and Voice of Consumer Analytics at Adidas. Tiankai is going to help you decide if you need an analytics Quarantune. A Quarantune is music or a song that is created for quarantine. The best part about this one is that it is all about data and analytics. Trust me - it’s not only fun but it literally speaks to our daily lives in this field!!

In this super fun episode, my amazing co-host Lillian Pierson and myself discuss Tiankai’s unique talent for combining analytics and music and how it plays into his day-to-day roll at Adidas. He also shares his Digital Analytics Anthem while dropping a number of knowledge bombs right in the song. Tune in to find out if you could use an analytics Quarantune. Knowledge bombs galore!

[26:03] - Tiankai on working with analysts: Analysts are great collaborators and not only service functions that have to follow your guidance, but we have to work together to make an impact.
[34:54] - Tiankai on the pandemic: You can predict and plan the most things possible, but when really big unexpected things happen like a pandemic or a huge society issue then none of those plans can actually work as you planned before. Having data and timely insights is even more important now so you can act timely and the right way.
[41:01] - Tiankai on the Perfect Job: It is always easy to complain, but it is so much harder to solve the issues. If you are not happy with the situation then try to change it.
For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/69

Enjoyed the Show?

Please leave us a review on iTunes.

Next Episode

71: BIDS Accelerator Lessons Learned: What you Write

Tune in as I recap lessons learned from our latest accelerator class. This part two in the series of three podcasts, which deep dives into our BI data storytelling framework, where we tackle three parts of storytelling. 1) What You Say, 2) What You Write, and 3) What You Draw.

I dive into some of the biggest mistakes people make when working with users and writing down their requirements, including why so many get confused with the different story parts and how to fix it. Tune in to this amazing BI masterclass!

[04:36] - How to become a better master storyteller.
[13:20] - Changing your questions and process to create an effective data story.
[14:25] - Biggest mistakes people make when working with users to gather requirements and create an amazing data story.
For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/71

Enjoyed the Show?

Please leave us a review on iTunes.