Some of our topic highlights include:

• Confidence intervals and precision needs vs wants
• The Spam bot problem and issuing corrections
• Shipping to vision vs shipping to need (and knowing when to say no)
• Market-based economy for data asks 
• The Microsoft SQL servers con
• Analytics-driven change rather than product team-driven change

As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.

Want to discuss the best practices we covered in this episode? Come hang out in The Operational Analytics Club, where all your favorite data leaders gather to sharpen their skills. 

Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? Reach out to our content and community team. 

Resources:

• Benn on LinkedIn
• Benn on Twitter
• Benn’s blog
• Mode on LinkedIn
• Mode on Twitter
• Mode’s website

Music by the talented Joe Stevens: https://www.joestevenssound.com/

Some of our topic highlights include:

• His background and path to founding Montreal Analytics
• The importance of investing in your data
• Why clients trust Cyril and his team
• How Montreal Analytics leads organizations in the right direction
• Learning through trial and error
• Whether a shared data stack is the best path forward

As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.

Want to discuss the best practices we covered in this episode? Come hang out in The Operational Analytics Club, where all your favorite data leaders gather to sharpen their skills. 

Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? Reach out to our content and community team. 

Resources:

• Cyril on LinkedIn
• Montreal Analytics on LinkedIn
• Montreal Analytics on Twitter
• Montreal Analytics’s website
• Montreal Analytics on Medium

Music by the talented Joe Stevens: https://www.joestevenssound.com/

Some of our topic highlights include:

• The right amount of precision in different scenarios
• What modern sales is (and what you need to be successful)
• Why salespeople are crucial to your customers 
• Using automation to inform sales behavior
• The trick for identifying talent before you have the data and track record
• The importance of pipeline hygiene versus “being good at sales”
• Remote work vs clustered work

As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.

Want to discuss the best practices we covered in this episode? Come hang out in The Operational Analytics Club, where all your favorite data leaders gather to sharpen their skills. 

Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? Reach out to our content and community team. 

Resources:

• Peter on LinkedIn
• Peter on Twitter
• Atrium on LinkedIn
• Atrium on Twitter
• Atrium’s website

Music by the talented Joe Stevens: https://www.joestevenssound.com/

Some of our topic highlights include:

• How Sarah got into the world of data
• Data modeling vs data building (and depth vs variety)
• The organizational pieces that need to fall in place before you get to the science in data science
• How experience in sales helps with technical product translation
• Why Sarah started writing (and what she gets out of it)
• UI power features and their feasibility
• The code vs no-code debate

As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.

Want to discuss the best practices we covered in this episode? Come hang out in The Operational Analytics Club, where all your favorite data leaders gather to sharpen their skills. 

Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? Reach out to our content and community team. 

Resources:

• Sarah on LinkedIn
• Sarah’s newsletter
• Sarah on Twitter

Music by the talented Joe Stevens:  https://www.joestevenssound.com/

Some of our topic highlights include:

• Emily’s background, her journey to data, and what she does at Drizly
• Answers to your burning questions, like: What type of alcohol is the most popular?
• How Emily moved up the data ranks from engineer to manager
• Value of optimizing old vs building new
• The evolution of data sharing throughout Emily’s career
• How data engineers and data analysts differ at Drizly

As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.

Want to discuss the best practices we covered in this episode? Come hang out in The Operational Analytics Club, where all your favorite data leaders gather to sharpen their skills. 

Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? Reach out to our content and community team. 

Resources:

• Emily on LinkedIn
• Emily on Twitter
• Drizly on LinkedIn
• Drizly on Twitter
• Drizly’s website

Music by the talented Joe Stevens: https://www.joestevenssound.com/

Some of our topic highlights include:

• Jessica’s early career in banking
• Differences between data across different types of companies
• How data roles differ from consumer banking to investment banking 
• The importance of statistical rigor and running experiments
• The art of persuasion and corporate psychology in data 
• How to improve interconnectivity between departments 
• What B2B SaaS companies can learn from B2C companies
• Striking the right balance in data

As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.

Want to discuss the best practices we covered in this episode? Come hang out in The Operational Analytics Club, where all your favorite data leaders gather to sharpen their skills. 

Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? Reach out to our content and community team. 

Resources:

• Jessica on LinkedIn
• Notion on LinkedIn
• Notion on Twitter
• Notion’s website

Music by the talented Joe Stevens: https://www.joestevenssound.com/

Some of our topic highlights include:

• Scott’s journey to becoming “unhireable” 
• Why management consulting is so intense
• Why you need tool conventions
• The risk of analysis paralysis
• The value of career learning vs salaries
• To what degree trust is earned through work and wisdom rather than title or name
• Empowering others through data

As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.

Want to discuss the best practices we covered in this episode? Come hang out in The Operational Analytics Club, where all your favorite data leaders gather to sharpen their skills. 

Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? Reach out to our content and community team. 

Resources:

• Scott on LinkedIn
• Scott on Twitter
• Brooklyn Data Co. on Twitter
• Brooklyn Data Co. on LinkedIn
• Brooklyn Data Co.’s website
• Locally Optimistic on Twitter
• Locally Optimistic on Slack
• Locally Optimistic’s website

Music by the talented Joe Stevens: https://www.joestevenssound.com/

Some of our topic highlights include:

• How CoderPad approaches technical interviewing for their data team
• What makes running technical interviews at most organizations so difficult
• How we, as interviewers, can do a better job at helping candidates see we’re on the same side
• What analytics teams should track during their hiring process
• How to build KPIs that reflect your rate of learning in your organization
• The five “whys” (and how to ask them)

As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.

Want to discuss the best practices we covered in this episode? Come hang out in The Operational Analytics Club, where all your favorite data leaders gather to sharpen their skills. 

Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? Reach out to our content and community team. 

Resources:

• David on LinkedIn 
• CoderPad on Twitter
• CoderPad on LinkedIn
• CoderPad’s website

Music by the talented Joe Stevens.