The Sequel Show

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. 

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 TwitterData Angels on Twitter Ironclad on LinkedIn Ironclad on TwitterIronclad's website Music by the talented Joe Stevens. 

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:Bigeye's websiteBigeye on TwitterBigeye on LinkedinBigeye on MediumEgor on LinkedinMusic by the talented Joe Stevens. 

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 websiteClickUp on LinkedinClickUp on TwitterMusic by the talented Joe Stevens. 

Before we get into the episode notes, I want to take a beat to thank all of you for supporting the Show over the last year. It's been amazing watching it go from a fun way to connect with some of my favorite folks in data to a full, polished podcast (featuring even more awesome people). We couldn't do it without you and I'm looking forward to giving the best and brightest of our industry the stage in the coming year. To kick things off with season 2, we have a great episode with Jeremiah Lowin, founder and CEO of dataflow automation tool Prefect. In this 1-hour, 7-minute episode, Jeremiah and I dive into the lessons that the wider data industry can learn from the experts in data finance. Some of the major points include: How he got his start in data finance The difference in reporting in terms of uncertainty vs outcomes The case for hearing/focusing on problems vs solutions Building non-political organizational culture Non-managerial growth in data careers As always, let me know what you think of the newest episode over on Twitter at @borisjabes. Resources: Prefect's Website: https://www.prefect.io/ Find Jeremiah on Twitter:https://twitter.com/jlowin Find Jeremiah on Linkedin: https://www.linkedin.com/in/jlowin/ Prefect's Linkedin: https://www.linkedin.com/company/prefect/ Prefect's Twitter: https://twitter.com/PrefectIO Music by the talented Joe Stevens: https://www.joestevenssound.com/ Know someone you think would make an awesome guest on the podcast (you can totally nominate yourself, too)? Send your suggestions to our content and community team.

In today's episode, I talk with Erik Bernhardsson, the former CTO at Better.com and early engineering manager at Spotify. We talked about how to build recommendation systems (including whether you should build them at all). We also covered some best practices on building and scaling data teams, what the essence of music is, and whether data teams should be thought of as an engineering discipline (and what programming languages we should embrace in the data world). We also took a deep dive into how to manage and govern the data team and how to measure the impact. Also - if you're looking to stay up to date on the best and most colorful data industry commentary between episodes, check out our new newsletter: The Operational Analytics Diggest. Resources: Erik's Website: https://erikbern.com/ Find Erik on Twitter:https://twitter.com/bernhardsson Find Erik on Linkedin: https://linkedin.com/in/erikbern/ Erik's Github: https://github.com/erikbern Music by the talented Joe Stevens: https://www.joestevenssound.com/

In today's episode, I talk with Benn Stancil, chief analytics officer & co-founder at Mode. Honestly, this might be my favorite episode of the Show to date. We had a hearty discussion about data teams and Benn's perspective as someone who started his career as an analyst with an economics degree. Our conversation turned to more philosophical notes around what makes a data professional persuasive (and why that matters), why being wrong is OK (and sometimes a pivotal part of a successful career), and the function of data teams in organizational decisions. As always, if you enjoyed this episode, please share it with a data-loving friend and let me know your thoughts on our discussion over on Twitter at @borisjabes. Resources: Benn‘s Substack: https://benn.substack.com/ Find Benn on Twitter:https://twitter.com/bennstancil Find Benn on Linkedin: https://www.linkedin.com/in/benn-stancil/ Find Mode on Linkedin: https://www.linkedin.com/company/mode-analytics/ Mode's site: https://mode.com/ Music by the talented Joe Stevens: https://www.joestevenssound.com/

In today's episode, I talk with Lior Gavish, the co-founder and CTO of Monte Carlo. We talk about his security background, his previous company Sookasa, and the origin story of Monte Carlo, and much more (including the infamous data mesh). We also get into managing and detecting operational issues, what data managers should learn before installing alarms, and what it means to think with a “failure is a feature, not a bug” mindset. Bonus: If you've ever wondered if it's better to be wrong consistently or randomly by 1%, we talk about that, too. Resources: Monte Carlo's site: https://www.montecarlodata.com/about-us/ Connect with Lior on Linkedin:https://www.linkedin.com/in/lgavish/ Find Monte Carlo on Twitter: https://twitter.com/montecarlodata Find Monte Carlo on Linkedin: https://www.linkedin.com/company/monte-carlo-data/ Music by the talented Joe Stevens: https://www.joestevenssound.com/

Well, Sequel Show fans, we officially have some amazing theme music. Huge thanks to the talented Joe Stevens for our new theme song that makes all my synth-wave dreams come true. In today's episode, I talk with Stefania Olafsdottir, the co-founder and CEO of product analytics platform Avo. We covered an amusing amount of ground--as always in The Sequel Show--from the etymology of cow vs beef to the visualization of weather data. The meat of the show focuses on Stef's early background as an associate researcher to the accuracy and specificity (or lack thereof) of data role titles today. We dive into the influences of data teams on their companies, how these teams evolve, and the facts, assumptions, and suggested actions these data champions can present. Don't worry, we also discussed Stef's experience as the CEO of Avo and took a look at how the company got its start (and her vision for the future of Avo). You don't want to miss it. Resources: Avo's site: https://www.avo.app/ Connect with Stef on Linkedin: https://www.linkedin.com/company/avohq/ Find Avo on Twitter: https://twitter.com/avohq Find Avo on Instagram: https://www.instagram.com/avohq/ Music by the talented Joe Stevens: https://www.joestevenssound.com/

In our latest episode, analytics engineer and community builder extraordinaire Claire Carroll sat down with us to talk about her journey from data analyst to analytics engineer to co-founder of analyticsengineers.club, an educational community for aspiring AEs. We cover a lot of ground, discussing her data-industry origin story, the fundamentals the next generation of AE should have in their toolkit, and the goals of her new training course. More broadly, Claire breaks down the gaps in the current data ecosystem and the difference between being a data consumer and a data creator. It's an episode you're not going to want to miss out on. As always, let me know what you think over on Twitter at @borisjabes.

In this live episode with Snowplow CEO and Co-founder Alex Dean, we dive into all things Snowplow and data collection. Alex runs us through the history of Snowplow--how the company was born and how it evolved--as well as what parts of the platform have grown in complexity. We break down what it means to think about events in a mind-frame of abundance vs scarcity, how to adapt to ever-changing regulations around privacy, and data architecture and infrastructure best practices. Alex rounds the discussion out with some advice on how to approach anonymous users over the next five years, and what a world where the warehouse is a single entity means for post-collection data structures. Let me know what you think over on Twitter at @borisjabes.

In this live recording, I'm joined by Nick Schrock, the creator of Dagster.

In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the first session talking about the next General of Data Tool with this panel Boris Jabes - Founder & CEO at Census Christophe Bogaert - head of data platform at Tasman Analytics Scott Breitenother - Founder of Brooklyn Data Co. (and the first data hire at Casper) Emily Hawkins - data infrastructure lead at Drizly Zeeshan Qureshi- tech lead & engineering manager at Shopify Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-maturity-when-to-switch-processes-and-tool-stacks/

In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the fith session talking about the next data in product management with the following panel: Boris Jabes - Founder & CEO at Census Jeff Feng - a PM at Google Adam Kinney - principal PM at Mixpanel James Mayfield - co-founder of Transform Lauren Reeder - product lead at Segment Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-product-management/

In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the fourth session talking about the Building and Leading Modern Data Teams next General with the following panel Rachel Bradley-Haas- Co-founder of Big Time Data Joey Freund - Data Development Manager at Shopify Garegin Ordyan- Director of Analytics at Fivetran Emilie Schario - Senior Engineering Manager at Netlify Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-careers-building-and-leading-modern-data-teams/

In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the third session talking about the worse data mistakes with the following panel Julie Beynon - Head of Analytics at Clearbit Jeff Sloan - Data Product Manager for Treatwell Olya Tanner, Customer Data Architect here at Census Brooks Taylor - Lead Data Scientist at Segment Eric Xiao - Senior Data Platform Engineer at Shopify Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-disasters-the-untold-stories/

In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the second session talking about the Data-Driven Culture. Our panel is Michelle Ballen-Griffin - Head of Data and Analytics at Billie Jeff Ignacio - Head of Growth and Revenue Operations at Upkeep Sean Lynch - a co-founder here at Census Praveer Melwani - Head of Business Operations and Finance at ‎Figma Max Mullen, a co-founder at Instacart Michael Stoppelman, who led Engineering for Yelp for 12 years. (I said it was star studded!) Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/how-do-you-build-a-data-driven-culture/

In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the first session talking about the next General of Data Tool with this panel Boris Jabes, - Founder and CEO of Census Martin Casado- General Partner at a16z George Fraser - CEO of Fivetran Jeremiah Lowin - Founder & CEO of Prefect Barr Moses - Co-Founder and CEO of Monte Carlo Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/cambrian-explosion-or-consolidation-where-is-data-right-now/

In this episode, we talk with TJ; He's the head of data at the largest streaming service “you've never heard of.”

In this live recording, I'm joined by Olya Kudriavtseva - Head of Data @ Wave.tv Taylor Murphy - Data Lead @ Gitlab/Metlano Seth Rosen - Co-founder @ Hashpath James Densmore - Dir of Data Infrastructure @ Hubspot We ended up talking about the difference between the various data-related engineering jobs.

In this initial episode our guests were: George @ Fivetran Tristan @ dbt Arjun @ Materialize We discussed why we built our companies, the past, present and future of data warehouses, what data teams will look like in the future and how all of this will affect what we do every day.