Podcasts about mode analytics

Welcome to another episode of Supra Insider. This time, we're excited to bring you our conversation with Nan Yu, Head of Product at Linear.New to the pod? Subscribe below to get the next episode in your inbox

Description:On this episode, Benn Stancil, Co-Founder of Mode Analytics and current Field CTO at Thoughtspot  shares his thoughts on who wants to use data to solve problems, and who just wants data to validate an opinion. He brings unique perspectives to how data excellence can be proliferated through an organization, whether shadow IT is a nuisance or a guide post, and how large language models will influence the future of data. Key Moments:How an internal analytics tool Benn built at Yammer led to starting Mode Analytics to serve the new breed of technical data teams (4:00)Why the urgency around BI consolidation in 2023 prompted conversations with ThoughtSpot (52:30) The risks of shadow tools and lack of consistency; importance of a centralized data infrastructure (26:30)Using natural language search as an interface for asking novel questions and changing how people use data (44:00)Data teams need visibility into the business context; centralization for infrastructure but decentralization to embed in business units (23:30)How ambition plays an outsized role in the type of data tools selected in an organization (17:58)Key Quotes:Courage, ultimately, is needed in making a decision that you have to own. [Unfortunately], data can be a punt. If you make a data driven decision, nobody made the decision. The data made the decision. There is like an abstraction there of who was actually responsible for it. What ends up happening [in shadow IT] is you spend all this time just trying to figure out, like, which one do you trust? Who's right? Everybody has their different perspectiveGood Googlers are not people that know the, the exact syntax of weird Google searches. Good Googlers are the people who have some spider sense about where to go looking for things. And I think AI is probably going to be similar to that, where it's not the crazy prompt engineers that'll make it good. It's like some of the next level spider sense skills that we don't know yet.MentionsRShadow ITMicrosoft acquires YammerLarge Language Models (LLMs)ModeBioBenn Stancil is ThoughtSpot's Field CTO. He joined ThoughtSpot in 2023 as part of its acquisition of Mode, where he was a Co-Founder and CTO. While at Mode, Benn held roles leading Mode's data, product, marketing, and executive teams. He regularly writes about data and technology at benn.substack.com.  Prior to founding Mode, Benn worked on analytics teams at Microsoft and Yammer.Personal Details:- Enjoys playing baseball and is a Braves fan- Favorite pump up song: "Labour" by Paris Paloma- Grateful for opportunities to travel and gain new perspectives

In the rapidly evolving world of data analytics, staying ahead of the curve is essential. Today on Tech Talks Daily, I'm thrilled to have Sumeet Arora from ThoughtSpot to walk us through their game-changing announcements. ThoughtSpot is already renowned for its advanced analytics tool, but with its recent launches, they are truly pushing the boundaries. Dive in with us as we discuss the all-new ThoughtSpot Sage, a search experience that blends foundational language models with ThoughtSpot's unmatched search technology. Get excited as we unveil its integration into free trials, enhancing accessibility for users everywhere. As businesses globally rely heavily on workplace productivity tools, ThoughtSpot's integrations with giants like Excel and Google Workspace aim to embed analytics right within your everyday workflow. But that's just the start. With Liveboards now enabling real-time collaborative decision-making using data, we examine the tangible benefits this brings to the table. The episode then takes a deeper dive into the expanded universe of ThoughtSpot's features. With the recent launch of ThoughtSpot SaaS on Google Cloud Platform, the introduction of a range of new database connectors, the unveiling of the Data Modeling Studio, and innovative embedded Liveboard features, businesses are in for an enriched data experience like never before. Sumeet also elaborates on the exciting launch of Monitor for Mobile, a feature that not only notifies users about business metric changes but provides invaluable insights into the 'why' behind these shifts. We then switch gears to discuss ThoughtSpot's strategic acquisition of Mode Analytics for a whopping $200M. How does this merger aim to empower data teams with Generative AI? And how will it redefine the landscape of Business Intelligence? If you've been seeking to understand how to truly harness the power of your data, this episode is packed with insights, updates, and a vision of the future you won't want to miss. Join Neil and Sumeet as they chart the course of AI-driven analytics and explore the next frontier in data interpretation.

Summary All software systems are in a constant state of evolution. This makes it impossible to select a truly future-proof technology stack for your data platform, making an eventual migration inevitable. In this episode Gleb Mezhanskiy and Rob Goretsky share their experiences leading various data platform migrations, and the hard-won lessons that they learned so that you don't have to. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. You specify the customer traits, then Profiles runs the joins and computations for you to create complete customer profiles. Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack (https://www.dataengineeringpodcast.com/rudderstack) Modern data teams are using Hex to 10x their data impact. Hex combines a notebook style UI with an interactive report builder. This allows data teams to both dive deep to find insights and then share their work in an easy-to-read format to the whole org. In Hex you can use SQL, Python, R, and no-code visualization together to explore, transform, and model data. Hex also has AI built directly into the workflow to help you generate, edit, explain and document your code. The best data teams in the world such as the ones at Notion, AngelList, and Anthropic use Hex for ad hoc investigations, creating machine learning models, and building operational dashboards for the rest of their company. Hex makes it easy for data analysts and data scientists to collaborate together and produce work that has an impact. Make your data team unstoppable with Hex. Sign up today at dataengineeringpodcast.com/hex (https://www.dataengineeringpodcast.com/hex) to get a 30-day free trial for your team! Your host is Tobias Macey and today I'm interviewing Gleb Mezhanskiy and Rob Goretsky about when and how to think about migrating your data stack Interview Introduction How did you get involved in the area of data management? A migration can be anything from a minor task to a major undertaking. Can you start by describing what constitutes a migration for the purposes of this conversation? Is it possible to completely avoid having to invest in a migration? What are the signals that point to the need for a migration? What are some of the sources of cost that need to be accounted for when considering a migration? (both in terms of doing one, and the costs of not doing one) What are some signals that a migration is not the right solution for a perceived problem? Once the decision has been made that a migration is necessary, what are the questions that the team should be asking to determine the technologies to move to and the sequencing of execution? What are the preceding tasks that should be completed before starting the migration to ensure there is no breakage downstream of the changing component(s)? What are some of the ways that a migration effort might fail? What are the major pitfalls that teams need to be aware of as they work through a data platform migration? What are the opportunities for automation during the migration process? What are the most interesting, innovative, or unexpected ways that you have seen teams approach a platform migration? What are the most interesting, unexpected, or challenging lessons that you have learned while working on data platform migrations? What are some ways that the technologies and patterns that we use can be evolved to reduce the cost/impact/need for migraitons? Contact Info Gleb LinkedIn (https://www.linkedin.com/in/glebmezh/) @glebmm (https://twitter.com/glebmm) on Twitter Rob LinkedIn (https://www.linkedin.com/in/robertgoretsky/) RobGoretsky (https://github.com/RobGoretsky) on GitHub Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links Datafold (https://www.datafold.com/) Podcast Episode (https://www.dataengineeringpodcast.com/datafold-proactive-data-quality-episode-205/) Informatica (https://www.informatica.com/) Airflow (https://airflow.apache.org/) Snowflake (https://www.snowflake.com/en/) Podcast Episode (https://www.dataengineeringpodcast.com/snowflakedb-cloud-data-warehouse-episode-110/) Redshift (https://aws.amazon.com/redshift/) Eventbrite (https://www.eventbrite.com/) Teradata (https://www.teradata.com/) BigQuery (https://cloud.google.com/bigquery) Trino (https://trino.io/) EMR == Elastic Map-Reduce (https://aws.amazon.com/emr/) Shadow IT (https://en.wikipedia.org/wiki/Shadow_IT) Podcast Episode (https://www.dataengineeringpodcast.com/shadow-it-data-analytics-episode-121) Mode Analytics (https://mode.com/) Looker (https://cloud.google.com/looker/) Sunk Cost Fallacy (https://en.wikipedia.org/wiki/Sunk_cost) data-diff (https://github.com/datafold/data-diff) Podcast Episode (https://www.dataengineeringpodcast.com/data-diff-open-source-data-integration-validation-episode-303/) SQLGlot (https://github.com/tobymao/sqlglot) Dagster (dhttps://dagster.io/) dbt (https://www.getdbt.com/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Mark Rittman is joined in this special episode of Drill to Detail by Benn Stancil, CTO and Founder at Mode to talk about their recent acquisition by ThoughtSpot, the economics of the modern data stack and how AI and LLMs could likely become our industry's next discontinuity.We don't need another SQL chatbotThe new philosophersThoughtSpot acquires Mode Analytics, a BI platform, for $200M in cash and stockChatGPT-Powered Data Analysis using Cube, Delphi and the Code Interpreter Plugin

Content this week from @Om, @Isabellesarraf, @pmarca, @elonmusk, @lexfridman, @jessicalessin, @ajkeen, @nickgrossman, @krishnanrohit, @kyle_l_wiggers, @demishassabis, @levie, @databricks, @@madewithmosaic, @mustafasuleymn, @inflectionAI Contents Editorial: Phew, That Was A Week Essays of the Week Why Apple's Vision Pro Will Change Movie-Watching Spotify's Video-Podcast Surge Linda Yaccarino's vision for Twitter 2.0 emerges ‘Pressures Remain': Coatue Prepares Tech Founders for the Road Ahead Three Reasons to Look Past the 40% Drop in VC Funding Big News Publishers Look to Team Up to Address Impact of AI ‎Matt Higgins on How the Publishing Industry Will Feel the Coming AI Storm Amazon, Friction, and the FTC Video of the Week Marc Andreessen on what makes Elon Musk special | Lex Fridman AI of the Week AI + Crypto: Best and Worst Cases The US Senate Wants to Rein In AI. Good Luck With That Building god Inflection lands $1.3B investment to build more ‘personal' AI Snowflake and Databricks are putting the data stored in their services to work Google DeepMind's CEO Says Its Next Algorithm Will Eclipse ChatGPT MIDJOURNEY'S 5.2 GAME-CHANGING FEATURES EXPLAINED News Of the Week Cash Is Drying Up in the Late-Stage VC Market ThoughtSpot acquires Mode Analytics, a BI platform, for $200M in cash and stock Startup of the Week Why Lightspeed is Leading Redpanda's $100 Million Series C Tweet of the Week Aaron Levie - Databricks Buys Generative AI Startup MosaicML For $1.3B --- Send in a voice message: https://podcasters.spotify.com/pod/show/thatwastheweek/message

Mary Ann and Alex are back for another busy news week chock full of deals to chew through.Here's the rundown:Deals of the Week: We think that the idea behind the recently-funded Honey Homes is excellent, but we're split about the cost. We also went over Gusto's latest financial achievements and its plans to team up with Remote.Fintech M&A: The biggest deal of the week in fintech was Visa's purchase of  Pismo. We haven't had unicorn-level acquisitions lately, so this one was welcome. Elsewhere in the space, Brex has brought on board a former SVB and a16z denizen, and Ramp bought Cohere.io (not this Cohere, the other one).Other M&A: But those weren't the only deals. Databricks bought MosaicML, IBM bought Apptio, and ThoughtSpot has acquired Mode Analytics.Help, my unicorn is starving: We closed with Alex's look at the declining funding to unicorn and web3 startups, as well as Rebecca Szkutak's latest on the secondary market in the process.Equity will be back on Wednesday as we head off into yet another holiday weekend here in the U.S. when Alex will finally put his PTO to use. In the meantime, let's catch up on Twitter @EquityPod. Talk soon!For episode transcripts and more, head to Equity's Simplecast website. Equity drops at 7:00 a.m. PT every Monday, Wednesday and Friday, so subscribe to us on Apple Podcasts, Overcast, Spotifyand all the casts. TechCrunch also has a great show on crypto, a show that interviews founders, one that details how our stories come together and more!

ThoughtSpot, an AI-powered analytics platform last valued at $4.5 billion, today announced that it's entered into a definitive agreement to acquire Mode Analytics, a business intelligence startup, for $200 million in cash and stock. 

In this livestream Albert Bellamy, Senior Marketing Intelligence Analyst at Annalect and the creator of the LinkedIn hard mode challenge, joins for a livestream Q&A. Trying to break into the Analytics Industry? You should check out the Greensboro College Analytics Apprenticeship program. Learn more here: https://learn.silvertoneanalytics.com/apprenticeship/ Already established as an analyst but ready to level up your career? Check out the Silvertone Analytics Career Servicers Program here: https://learn.silvertoneanalytics.com/career-services/ Welcome to the How to Get an Analytics Job channel. Discover how you fit into the analytics marketplace, what skills you should build, and how to land your analytics dream job. Analytics agency owner John David Ariansen and his team will give you tips and tricks to land your dream job and level up your analytics career. Check Out Our Playlists How to Get an Analytics Job Podcast: https://www.youtube.com/playlist?list=PLBvzkZLydYX0D28bbnfRCV6M4zMQrhXsd Greensboro College Analytics Lecture Series: https://www.youtube.com/playlist?list=PLBvzkZLydYX2UenX5FGME-n-KDjvKmeKp Looking to land an analytics job? Sounds like you need a solid resume... Sign up for our email list to get a free analytics resume guide: https://mailchi.mp/df01df1e8856/analyticsjob Follow us on LinkedIn: John David Ariansen https://www.linkedin.com/in/johndavidariansen/ Hunter Brown https://www.linkedin.com/in/hunterhbrown/ --- Support this podcast: https://anchor.fm/john-david-ariansen/support

Show Notes(01:46) Douwe went over formative experiences catching the programming virus at the age of 9, combining high school with freelance web development, and studying Computer Science at Utrecht University in college.(03:55) Douwe shared the story behind founding a startup called Stinngo, which led him to join GitLab in 2015 as employee number 10.(05:29) Douwe provided insights on attributes of exceptional engineering talent, given his time hiring developers and eventually becoming GitLab's first Development Lead.(08:28) Douwe unpacked the evolution of his engineering career at GitLab.(11:11) Douwe discussed the motivation behind the creation of the Meltano project in August 2018 to help GitLab's internal data team address the gaps that prevent them from understanding the effectiveness of business operations.(14:38) Douwe reflected on his decision in 2019 to leave GitLab's engineering organization and join the then 5-people Meltano team full-time.(20:24) Douwe shared the details about Meltano's product development journey from its Version 1 to its pivot.(26:18) Douwe reflected on the mental aspect of being the sole person whom Meltano depended on for a while.(29:20) Douwe explained the positioning of Meltano as an open-source self-hosted platform for running data integration and transformation pipelines.(34:54) Douwe shared details of Meltano's ideal customer profiles.(37:45) Douwe provided a quick tour of the Meltano project, which represents the single source of truth regarding one's ELT pipelines: how data should be integrated and transformed, how the pipelines should be orchestrated, and how the various plugins that make up the pipelines should be configured.(40:39) Douwe unpacked different components of Meltano's product strategy, including Meltano SDK, Meltano Hub, and Meltano Labs.(45:05) Douwe discussed prioritizing Meltano's product roadmap in order to bring DataOps functionality to every step of the entire data lifecycle.(48:53) Douwe shared the story behind spinning Meltano out of GitLab in June 2021 and raising a $4.2M Seed funding round led by GV to bring the benefits of open source data integration and DataOps to a wider audience.(52:19) Douwe provided his thoughts behind open-source contributors in a way that can generate valuable product feedback for Meltano.(55:43) Douwe shared valuable hiring lessons to attract the right people who align with Meltano's values.(59:04) Douwe shared advice to startup CEOs who are experimenting with the remote work culture in our “new-normal” virtual working environments.(01:04:10) Douwe unpacked Meltano's mission and vision as outlined in this blog post.(01:06:40) Closing segment.Douwe's Contact InfoGitLabLinkedInTwitterGitHubWebsiteMeltano's ResourcesWebsite | Twitter | LinkedIn | GitHub | YouTubeMeltano Documentation | Product | DataOpsMeltano SDK | Meltano Hub | Meltano LabsCompany Handbook | Community | Values | CareersMentioned ContentArticlesHey, data teams - We're working on a tool just for you (Aug 2018)To-do zero, inbox zero, calendar zero: I think that means I'm done (Sep 2019)Meltano graduates to Version 1.0 (Oct 2019)Revisiting the Meltano strategy: a return to our roots (May 2020)Why we are building an open-source platform for ELT pipelines (May 2020)Meltano spins out of GitLab, raises seed funding to bring data integration into the DataOps era (June 2021)Meltano: The strategic foundation of the ideal data stack (Oct 2021)Introducing your DataOps platform infrastructure: Our strategy for the future of data (Nov 2021)Our next step for building the infrastructure for your Modern Data Stack (Dec 2021)PeopleMaxime Beauchemin (Founder and CEO of Preset, Creator of Apache Airflow and Apache Superset, Angel Investor in Meltano)Benn Stancil (Chief Analytics Officer at Mode Analytics, Well-Known Substack Writer)The entire team at dbt LabsNotesMy conversation with Douwe was recorded back in November 2021. Since then, many things have happened at Meltano. I'd recommend:Checking out their updated company valuesReading Douwe's article about the DataOps Operating System on The New StackExamining Douwe's blog post about moving Meltano to GitHubLooking over the announcement of Meltano 2.0 and the additional seed fundingAbout the showDatacast features long-form, in-depth conversations with practitioners and researchers in the data community to walk through their professional journeys and unpack the lessons learned along the way. I invite guests coming from a wide range of career paths — from scientists and analysts to founders and investors — to analyze the case for using data in the real world and extract their mental models (“the WHY and the HOW”) behind their pursuits. Hopefully, these conversations can serve as valuable tools for early-stage data professionals as they navigate their own careers in the exciting data universe.Datacast is produced and edited by James Le. Get in touch with feedback or guest suggestions by emailing khanhle.1013@gmail.com.Subscribe by searching for Datacast wherever you get podcasts or click one of the links below:Listen on SpotifyListen on Apple PodcastsListen on Google PodcastsIf you're new, see the podcast homepage for the most recent episodes to listen to, or browse the full guest list.

Show Notes(01:41) Mars walked through his education studying Computer Systems Engineering at The University of Auckland in New Zealand.(03:16) Mars reflected on his overall Ph.D. experience in Computer Science at UCLA.(05:55) Mars discussed his early research paper on a robust and scalable lane departure warning system for smartphones.(07:13) Mars described his work on SmartFall, an automatic fall detection system to help prevent the elderly from falling.(08:34) Mars explained his project WANDA, an end-to-end remote health monitoring and analytics system designed for heart failure patients.(10:06) Mars recalled learnings from interning as a software engineer at Google during his Ph.D.(14:54) Mars discussed engineering challenges while working on PHP for Google App Engine and Gboard personalization during his subsequent four years at Google.(19:05) Mars rationalized his decision to join LinkedIn to lead an engineering team that builds the core metadata infrastructure for the entire organization.(21:15) Mars discussed the motivation behind the creation of LinkedIn's generalized metadata search and discovery tool, DataHub, later open-sourced in 2020.(25:21) Mars dissected the key architecture of DataHub, which is designed to address the key scalability challenges coming in four different forms: modeling, ingestion, serving, and indexing.(28:50) Mars expressed the challenges of finding DataHub's early adopters internally at LinkedIn and externally later on at other companies.(35:22) Mars shared the story behind the founding of Metaphor Data, which he co-founded with Pardhu Gunnam and Seyi Adebajo and currently serves as the CTO.(41:55) Mars unpacked how Metaphor's modern metadata platform serves as a system of record for any organization's data ecosystem.(48:07) Mars described new challenges with metadata management since the introduction of the modern data stack and key features of a great modern metadata platform (as brought up in his in-depth blog post with Ben Lorica).(53:55) Mars explained how a modern metadata platform fits within the broader data ecosystem.(58:30) Mars shared the hurdles to finding Metaphor Data's early design partners and lighthouse customers.(01:04:33) Mars shared valuable hiring lessons to attract the right people who are excited about Metaphor's mission.(01:07:28) Mars shared important culture-building lessons to build out a high-performing team at Metaphor.(01:10:45) Mars shared fundraising advice for founders currently seeking the right investors for their startups.(01:13:22) Closing segment.Mars' Contact InfoTwitterLinkedInGoogle ScholarGitHubMetaphor DataWebsite | Twitter | LinkedInCareers | About PageData Documentation | Data CollaborationMentioned ContentArticlesDataHub: A generalized metadata search and discovery tool (Aug 2019)Open-sourcing DataHub: LinkedIn's metadata search and discovery platform (Feb 2020)Founding Metaphor Data (Dec 2020)Metaphor and Soda partner to unify the modern data stack with trusted data (Dec 2021)Introducing Metaphor: The Modern Metadata Platform (Nov 2021)The Modern Metadata Platform: What, Why, and How? (Jan 2022)PapersSmartLDWS: A robust and scalable lane departure warning system for the smartphones (Oct 2009)SmartFall: An automatic fall detection system based on subsequence matching for the SmartCane (April 2009)WANDA: An end-to-end remote health monitoring and analytics system for heart failure patients (Oct 2012)PeopleBenn Stancil (Chief Analytics Officer at Mode Analytics, Well-Known Substack Writer)Tristan Handy (Co-Founder and CEO of dbt Labs, Writer of The Analytics Engineering Roundup)Andy Pavlo (Associate Professor of Database at Carnegie Mellon University)Books“Working In Public” (by Nadia Eghbal)“The Mom Test” (by Rob Fitzpatrick)“A Thousand Brains” (by Jeff Hawkins)“The Scout Mindset” (by Julia Galef)NotesMy conversation with Mars was recorded back in January 2022. Since then, many things have happened at Metaphor Data. I'd recommend:Visiting their brand new websiteReading the 3-part “Data Documentation” series on their blog (part 1, part 2, and part 3)Looking over the Trusted Data landing pageAbout the showDatacast features long-form, in-depth conversations with practitioners and researchers in the data community to walk through their professional journeys and unpack the lessons learned along the way. I invite guests coming from a wide range of career paths — from scientists and analysts to founders and investors — to analyze the case for using data in the real world and extract their mental models (“the WHY and the HOW”) behind their pursuits. Hopefully, these conversations can serve as valuable tools for early-stage data professionals as they navigate their own careers in the exciting data universe.Datacast is produced and edited by James Le. Get in touch with feedback or guest suggestions by emailing khanhle.1013@gmail.com.Subscribe by searching for Datacast wherever you get podcasts or click one of the links below:Listen on SpotifyListen on Apple PodcastsListen on Google PodcastsIf you're new, see the podcast homepage for the most recent episodes to listen to, or browse the full guest list.

In this episode, Dan Sanchez talks to Carey Straetz who is the Head of Demand Generation at Mode Analytics.  They cover: - The podcast she helped launch at her last company - The paid media and creative elements they used to promote it - The proper elements of a marketing plan to execute it Thank You For Listening to the Attention Podcast! Don't forget to hit Subscribe or Follow us on your favorite podcast player so that you never miss an episode! If you want this podcast delivered to you via email, you can subscribe here: https://www.theirattention.com/p/subscribe/ The Attention Podcast is brought to you by Sweet Fish, the podcast agency for B2B brands.

Join Maia Wells and The Marketing Hero podcast for an interview with Carey Straetz, Head of Demand Generation at Mode. A "yes, and" approach to leadership combined with a career's worth of learning how to guide teams in the right direction has made Carey one of the most respected marketing leaders in the SaaS space. Listen in for real tips on forming a diverse team and achieving real results together.

About Benn Stancil: Benn Stancil is co­founder and Chief Analyst at Mode Analytics, a company building collaborative tools for data scientists and analysts. Benn is responsible for overseeing Mode's internal analytics efforts, and is also an active contributor to the data science community. In addition, Benn provides strategic oversight and guidance to Mode's product direction as a member of the product leadership team.To stay up to date with Benn's writing on the modern data experience, check out his substack. About Mode: Mode helps businesses grow faster by speeding up answers to complex business problems and making the process more collaborative, so that everyone can build on the work of data analysts.  The Mode platform combines the best elements of Business Intelligence (ABI), Data Science (DS) and Machine Learning (ML) to empower data teams to answer impactful questions and collaborate on analysis across a range of business functions. In 2021, Mode has added a number of premiere enterprise companies to its customer base, which now includes Anheuser Busch, Bloomberg, Capital One, Conde Nast, Doordash, Lyft, Meredith Publishing, VMWare, and Zillow, among others.  At this point, 52% of the Forbes 500 have turned to Mode for help with data-driven decision making.  

Benn is Chief Analytics Officer and a Co-founder at Mode Analytics, but you may know him from his Substack newsletter (benn.substack.com), where each Friday he dives into a semi-controversial topic (recent examples: “Is BI Dead?” and “BI is Dead”).  In this episode, Benn, Tristan & Julia finally hash out some of these debates IRL: what *is* the modern data stack, why is the metrics layer important, and what's the point of all of this? For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.  The Analytics Engineering Podcast is sponsored by dbt Labs.

Learning the tips and tricks for doing data analysis in Excel is great and all, but stepping back to see the bigger picture leads to better questions (and answers) you can ask as an analyst. Benn Stancil is one of the founders at Mode Analytics, a data visualization platform you may have used before. Benn […] The post Dear Analyst #71: Benn Stancil, Co-Founder and Chief Analytics Officer at Mode Analytics on all things analytics appeared first on .

Derek Steer, Co-founder and CEO of Mode Analytics.Mode helps entrepreneurs grow their businesses faster through data-driven decision making.  The Mode platform combines the best elements of Business Intelligence (ABI), Data Science (DS) and Machine Learning (ML) to empower data teams to answer impactful questions and collaborate on analysis across a range of business functions.In 2019, Mode added a number of premiere enterprise companies to its customer base, which now includes Anheuser Busch, Zillow, Lyft, Bloomberg, Capital One, VMWare, and Conde Nast, among others.In 2020, Mode was the recipient of four G2 Awards, including Best Estimated ROI, Fastest Implementation, Highest Performer, and Overall Leader. At this point, 52% of the Forbes 500 have signed up for Mode.Mode is currently being used by marquee companies such as Lyft, Zillow, Unbounce, Doordash, Everlane and Meredith publishing for product, financial and marketing analytics.  Mode goes beyond traditional business intelligence by speeding up answers to complex business problems and making the process more collaborative, so that everyone can build on the work of data analysts. Mode recently closed a successful Series D round for Mode, bringing the total funding raised to $83M.

Ushashi Chakraborty is a Director of Engineering for Backend Engineering at Mode Analytics in San Francisco. She moved to California in October 2018 from Chicago where she worked in Groupon for 5 years as an Engineering Manager for Consumer Applications and before that as a Software Development Engineer in Test. She has also worked in Microsoft and Thomson Reuters. She holds a Masters degree in Computer Science from North Dakota State University.   Ushashi has been involved with theater since high school and, especially, with improv since 2015. She is a Second City Training Center, Chicago alumni and has performed improv, sketch and stand up across several small theaters in Chicago.   Ushashi has spoken at major conferences including Grace Hopper Conference (SOL, 2014), expo:QA, Madrid, multiple chapters of CTO Summit in Nasdaq NYC, Austin, Chicago, and SF as well as in Leadership Summits by Code Climate, VerveCon, and General Assembly Breakfast Talk in 2018-19. She has recorded podcasts for the startupcto and frontier by gun.io. She, most recently, spoke at the Grace Hopper Conference, Orlando, 2019.  

Data engineers are responsible for building tools and platforms to power the workflows of other members of the business. Each group of users has their own set of requirements for the way that they access and interact with those platforms depending on the insights they are trying to gather. Benn Stancil is the chief analyst at Mode Analytics and in this episode he explains the set of considerations and requirements that data analysts need in their tools and. He also explains useful patterns for collaboration between data engineers and data analysts, and what they can learn from each other.

Jonathan Hsu is Co-Founder & General Partner @ Tribe Capital, one of Silicon Valley's newest funds on the block being founded by Jonathan, Arjun Sethi and Ted Maidenberg. To date, Tribe has invested in the likes of Carta, Cover, Mode Analytics, Prodigy and SFOX. As for Jonathan, before founding Tribe he was a Partner @ Social Capital where he utilized data and technology to augment sourcing, evaluation of investment opportunities and the management and value add for portfolio companies. Before that he led the creation of the analytics and data science team at Facebook, including leading the hiring of 200 of the world's leading data scientists and analysts. In Today’s Episode You Will Learn: 1.) How Jonathan made his way from leading 200 data scientists at Facebook to the world of venture and founding his own firm in the form of Tribe Capital today? 2.) If we structure VC simplistically, there are 4 core components: Sourcing: How does Jonathan think about the role of data in actively surfacing the best opportunities? that are the leading data fields that Jonathan would track? Why does Jonathan believe most early-stage firms are just using Linkedin Sales Navigator intelligently? Evaluating: How does Jonathan think about the potential for data to really aid in the picking process? At what stage does this really become possible? How much data is required for data to evaluate opportunities? Winning: Winning deals is seemingly a case of human relationships but how does Jonathan think intelligent data usage and benchmarking can actually help firms win the most competitive deals? Value Add: How does Jonathan think about portfolio management with data? How does this differ from the more traditional "value add" that other VCs provide? Where are the common pitfalls Series A companies you work with face in not achieving product-market fit? 3.) Given the data-driven nature of the approach, does Jonathan think that there is an optimal portfolio construction? Why does Jonathan strongly believe that historical loss ratios are too high? Does data allow firms to really intelligently price these assets at the Series A and B? What are the challenges in pricing these assets so early? 4.) How does Jonathan think about reserve allocation? Why is data more critical than ever in the decision to re-invest or not? What are the leading data signals that Jonathan looks for when determining reserve allocation? Why does Jonathan think that so many firms go wrong in how they approach reserve management and distribution? 5.) Question from Henry Ward @ Carta: What does N of 1 markets mean to you Jonathan? Why are they so inherently attractive? How do pricing dynamics play out in markets that are N of 1? How does Jonathan think about defensibility when analysing opportunities today? Is anything truly defensible anymore? Items Mentioned In Today’s Show: Jonathan’s Fave Book: The Origins of Political Order: From Prehuman Times to the French Revolution Jonathan’s Most Recent Investment: Carta As always you can follow Harry, The Twenty Minute VC and Jonathan on Twitter here! Likewise, you can follow Harry on Instagram here for mojito madness and all things 20VC.

Storytime With Managers is a collection of twenty minute conversations where Jennifer Tu finds answers to questions of interest for both established and budding leaders in technology fields. Episode 1 covers the topic of "managing up" with Marco Rogers (@polotek on Twitter). Marco was previously an engineering manager and director at companies like Yammer, Clover Health, and Lever, and is now happily writing code for Mode Analytics. We talk about what managing up means, Marco's journey to understanding managing up, how any of us can do the same, and how we can help those we manage to learn to manage up. Tell us what you think of our podcast! We're on Twitter as @wecohere. ---- Our theme music is by Kevin MacLeod (CC-BY):www.orangefreesounds.com/electronic-ambient-easy-listening-music/ Editing by Bryant from Zinc (https://www.zincma.de/) - thanks for making us sound so good, Bryant! Tell us what you think of Storytime With Managers! Twitter: @wecohere

A veteran of Microsoft, Groupon, and now Mode Analytics, Engineering Leader, Ushashi Chakraborty has gotten used to hearing the most abnormal feedback: "I love coming to your meetings!" She realized after some reflection that her extensive improv experience through Chicago's famed Second City Conservatory, had instilled in her skills and habits that were just as useful for running engineering meetings as they were on stage. In this episode she recaps a presentation she made at the 2018 NY Nasdaq CTO Summit, entitled "Running Engineering Meetings Using Improv Skills." See acast.com/privacy for privacy and opt-out information.

## Guest Derek Steer – [Mode Analytics](https://modeanalytics.com/) ## Summary In this episode of the Less Doing Podcast, Ari and Nick sit down for a conversation with Derek Steer of [Mode Analytics](https://modeanalytics.com/), a collaborative analytics platform built by analysts, for analyst that processes more than 20,000 SQL queries a day to help people around the world make data-informed decisions. Before launching Mode, Derek orchestrated analytics for a number of marquee companies including Facebook, Yammer, and Microsoft. When he's not working away inside the Mode offices, you can find Derek competing in triathlons, rock climbing, or playing guitar. ## Key Quote “Your analytics tool is only as good as the data you put into it.” ## What You'll Learn 1. The data sources Mode uses to generate groundbreaking analytics 2. What an analytic-specific database looks like. 3. The leading analytic indicator to determine whether or not a client will leave Less Doing. 4. How Derek applies Mode to internal data analysis. 5. What graduating from Tableau or Looker to Mode looks like. 6. Why it's important to look at different data sources to understand how advertisements are performing. 7. How everything is connected from the front-end to the back-end at Mode. 8. The upcoming BIG changes happening at Mode. 9. The difference between “vanity metrics” and metrics that can lead to meaningful changes. 10. How Derek defines productivity by motivation. ------- [Get the FREE Optimize, Automate, Outsource Blueprint here.](https://go.lessdoing.com/blueprint?utm_campaign=blueprint-ari&utm_medium=link&utm_source=podcast) --- Send in a voice message: https://anchor.fm/lessdoing/message

This week’s Envoy office hack is about the evolution of a company’s culture alongside the evolution of a stuffed goat. San Francisco-based Mode Analytics features a full-sized mountain goat in its reception area. And it may surprise you to hear what kind of impact a mounted beast can have on a growing company. See photos of Marshawn the goat, and read more about this office hack at http://bit.ly/OfficeGoat