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 skil ..read more

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.  Kn ..read more

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 ..read more

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, w ..read more

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 c ..read more

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 ..read more

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? C ..read more

Some of our topic highlights include: The history of dbt Labs (and the dbt community) How community became an opportunity for the dbt Labs team to transfer their internal culture and values outward (and how they did so)  The original vision and purpose behind the dbt community (and how it’s matured) How community helps data practitioners glean second-hand gold from software engineering (and what this means for functional engineering) How real time is real time enough? How to help engineers better conceptualize the world of modern data The bull and bear cases for the semantic layer If dat ..read more

As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes. 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 Cherny on LinkedIn  Jessica Cherny on Twitter Data Angels on Twitter  Ironclad on LinkedIn  Ironclad on Twitter Ironclad's website  Music by the talented Joe Stevens.  ..read more

As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes. 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: Marc Stone on Linkedin  ClickUp's website ClickUp on Linkedin ClickUp on Twitter Music by the talented Joe Stevens.  ..read more