Info

Analytics on Fire

Analytics on Fire is your backstage pass inside the enterprise data, analytics, AI, and business intelligence world. Join your host, global keynote speaker, author, coach, trainer, TV news commentator, and data community manager and leader, Mico Yuk, as she pulls back the curtain on what’s working right now in the enterprise analytics, AI, and business intelligence world and what is not. You’ll hear the inside scoop from experienced business leaders on how to plan, implement, and gain true business value from your analytics dollars. Visit analyticsonfire.com to subscribe and get weekly insights and freebies!
RSS Feed Subscribe in Apple Podcasts
Analytics on Fire
2022
October
September
May


2021
September
May
April
March
February


2020
December
November
October
September
August
July
June
May
April
February
January


2019
December
November
October
August
July
June
May


Categories

All Episodes
Archives
Categories
Now displaying: March, 2021
Mar 17, 2021

Our focus for this inspiring episode of AOF is mindset, especially if you want to be a standout data analyst! I have brought one of my first ever followers and day ones! Trevor Tapscott is a VP and Analytics Consultant at Wells Fargo and has been in the game for 20 years and counting. We connected in 2008, when he was seeking help with a visualization tool called Xcelsius. In this knowledge bomb filled episode, Trevor shares his thoughts on what sets great data analysts apart, his framework ‘VTAC’ for impactful data analysis, and how to approach making an impression when applying for positions in data!  

Trevor makes a number of really important points around understanding the business of data, what the role of an analyst truly is, and what goes into the mindset of a rock star in the space! We unpack indispensable parts of the relationships that make up the work of a data consultant, and our guest talks about getting to grips with a user's vision and their 'why'. Trevor also talks about the recent BIDS Accelerator class that he attended and the lessons he has already started implementing from that! Make sure to stay tuned to the end to hear about the amazing raffle that Trevor is hosting for listeners and how you can enter to win! 

 

In this episode, you'll learn:

  • [0:12:00] Trevor's basic definition of the role of a data analyst and what it means to be a rockstar!
  • [0:15:02] The importance of understanding the business of data and the value of business insights. 
  • [0:18:20] Unpacking Trevor's VTAC process: vision, translation, action, change and how to use it for delivery mode
  • For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/78 

     

    Enjoyed the Show? 

    Please leave us a review on iTunes.

Mar 10, 2021

Finding your dream job in the world of data and analytics might not be as hard you think! Our guest today, Kimberly Herrington stands as a testament to this idea and she joins us on AOF to talk about how you can go about identifying and capturing your ideal position in this fascinating space. Kimberly is a data journalist at a large healthcare company in Buffalo, New York, and is also the founder of Buffalo Business Intelligence. She is also a graduate of our BI Data Storytelling Accelerator Workshop and in 2020, she was voted Data Literacy Advocate of the Year. Tune into this episode and you will see why!

I am so excited to share this great chat with you, in which we hear about Kimberly's personal method for landing that dream job that you might have thought was only a wish. In our conversation, Kimberly does an amazing job of unpacking some parts of the work she does and the difference between some of the job titles in the space. We also talk about the great learnings she garnered from our workshop, and why you should sign up immediately! I learned so much from today's guest, and you will too, as we run through common mistakes that are made in the pursuit of a great job, how to leverage working at home to your advantage, and the vital importance of community! Kimberly is like a fairy of goodness, and believe me AOF, you will see exactly why I say this!

 

In this episode, you'll learn:

  • [0:04:13] Kimberly's past work as a professional improv comedian!
  • [0:09:12] Mapping the trajectory of an ideal career in data storytelling and how to start this journey. 
  • [0:18:19] Differentiating between a data journalist, data storyteller, and analytics translator. 
  • [0:24:43] Investing the time and money into valuable education and qualifications.
  • For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/77 

 

Enjoyed the Show? 

Please leave us a review on iTunes.

Mar 3, 2021

Stakeholders often miss key insights that can be provided by data to drive action forward, due to the way the data is presented and communicated to them. My guest today believes that data storytelling is key to resolving this common pain point. Kam Lee, a BI Data Storytelling Mastery alumn and graduate who has used our framework to surface over $100M for the fintech company he works with!

Kam is the Chief Data Scientist at his company Finetooth Analytics (specializing in marketing analytics), working with top marketers like Russell Brunson from Clickfunnels! Our data masterclass with Kam today delves deep into how he used our BI Data Storytelling Methodology and framework to straddle data engineering, data science, and storytelling. Kam shares game-changing concepts from the course and how he has used them to connect to stakeholders, influence their actions, and overcoming what he calls ‘emotional responses’ to data. Tune in to this knowledge bomb-filled episode!

In this episode, you'll learn:

  • [0:12:20] Three buckets Kam uses to organize the data storytelling process.
  • [0:14:56] The challenge of dealing with stakeholders who respond emotionally to data.
  • [0:26:48] Whether to start with the storyboarding or the analytics data dictionary first.
  • [0:28:19] The difference between KPIs, trends, and actions.
  • For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/76 

 

Enjoyed the Show? 

Please leave us a review on iTunes.

1