Some of our topic highlights include:Confidence intervals and precision needs vs wantsThe Spam bot problem and issuing correctionsShipping to vision vs shipping to need (and knowing when to say no)Market-based economy for data asks The Microsoft SQL servers conAnalytics-driven change rather than product team-driven changeAs 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 LinkedInBenn on TwitterBenn’s blogMode on LinkedInMode on TwitterMode’s websiteMusic by the talented Joe Stevens: https://www.joestevenssound.com/

Some of our topic highlights include:His background and path to founding Montreal AnalyticsThe importance of investing in your dataWhy clients trust Cyril and his teamHow Montreal Analytics leads organizations in the right directionLearning through trial and errorWhether a shared data stack is the best path forwardAs 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 LinkedInMontreal Analytics on LinkedInMontreal Analytics on TwitterMontreal Analytics’s websiteMontreal Analytics on MediumMusic by the talented Joe Stevens: https://www.joestevenssound.com/

Some of our topic highlights include:The right amount of precision in different scenariosWhat modern sales is (and what you need to be successful)Why salespeople are crucial to your customers Using automation to inform sales behaviorThe trick for identifying talent before you have the data and track recordThe importance of pipeline hygiene versus “being good at sales”Remote work vs clustered workAs 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 LinkedInPeter on TwitterAtrium on LinkedInAtrium on TwitterAtrium’s websiteMusic by the talented Joe Stevens: https://www.joestevenssound.com/

Some of our topic highlights include:How Sarah got into the world of dataData 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 scienceHow experience in sales helps with technical product translationWhy Sarah started writing (and what she gets out of it)UI power features and their feasibilityThe code vs no-code debateAs 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 LinkedInSarah’s newsletterSarah on TwitterMusic 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 DrizlyAnswers to your burning questions, like: What type of alcohol is the most popular?How Emily moved up the data ranks from engineer to managerValue of optimizing old vs building newThe evolution of data sharing throughout Emily’s careerHow data engineers and data analysts differ at DrizlyAs 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 LinkedInEmily on TwitterDrizly on LinkedInDrizly on TwitterDrizly’s websiteMusic by the talented Joe Stevens: https://www.joestevenssound.com/

Some of our topic highlights include:Jessica’s early career in bankingDifferences between data across different types of companiesHow data roles differ from consumer banking to investment banking The importance of statistical rigor and running experimentsThe art of persuasion and corporate psychology in data How to improve interconnectivity between departments What B2B SaaS companies can learn from B2C companiesStriking the right balance in dataAs 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 LinkedInNotion on LinkedInNotion on TwitterNotion’s websiteMusic 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 intenseWhy you need tool conventionsThe risk of analysis paralysisThe value of career learning vs salariesTo what degree trust is earned through work and wisdom rather than title or nameEmpowering others through dataAs 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 LinkedInScott on TwitterBrooklyn Data Co. on TwitterBrooklyn Data Co. on LinkedInBrooklyn Data Co.’s websiteLocally Optimistic on TwitterLocally Optimistic on SlackLocally Optimistic’s websiteMusic by the talented Joe Stevens: https://www.joestevenssound.com/

Some of our topic highlights include:How CoderPad approaches technical interviewing for their data teamWhat makes running technical interviews at most organizations so difficultHow we, as interviewers, can do a better job at helping candidates see we’re on the same sideWhat analytics teams should track during their hiring processHow to build KPIs that reflect your rate of learning in your organizationThe 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 TwitterCoderPad on LinkedInCoderPad’s websiteMusic by the talented Joe Stevens.

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 dataThe bull and bear cases for the semantic layerIf data and analytics will develop into a singular-language worldAs 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. 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:Tristan on LinkedIn Tristan on TwitterTristan’s newsletterdbt Slack communitydbt Labs on Twitterdbt Labs on LinkedIndbt’s websiteMusic by the talented Joe Stevens. 

Some of our topic highlights include:The history and background of Monte CarloWhy the planning process is so important for data teamsHow to set (and crush) a data goalThe difference between being obsessed with systems and being obsesses with goalsHow data teams waste timeHow often data downtime and data issues are tied to a lack of knowledge transfer and process within an orgHow we can continue to improve the corporate culture around dataAs 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. 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:Barr Moses on LinkedIn Barr Moses on Twitter Barr Moses on MediumMonte Carlo on Twitter Monte Carlo on LinkedIn Monte Carlo's websiteMusic by the talented Joe Stevens.