Collecter et analyser la donnée ne suffit plus. Trop souvent, les organisations accumulent des volumes massifs d’informations sans parvenir à les transformer en décisions, en actions concrètes ou en valeur métier. Résultat : des opportunités manquées, une frustration des équipes et un décalage croissant entre les investissements data et l’impact réel sur le business. C’est là qu’intervient la notion de donnée activée. Grâce à des solutions modernes comme Fivetran, qui simplifie et automatise l’intégration, et Census, qui rend la donnée actionnable directement dans les outils métier, les équipes peuvent enfin franchir un cap. Elles ne se limitent plus à produire des tableaux de bord, mais activent la donnée là où elle crée de la valeur : dans les campagnes marketing, l’expérience client, les ventes ou encore les opérations. Dans cette session, Boris Jabes, fondateur de Census, désormais intégré à Fivetran partagera sa vision et ses meilleures pratiques pour aider les équipes data à passer réellement de la donnée à l’action, accélérer leurs initiatives, notamment en IA, et amplifier leur impact dans toute l’organisation.

In this session, Boris Jabes explores common challenges faced by data teams when attempting to generate revenue for their company. He delves into issues such as lack of alignment with business objectives, inadequate data quality, and insufficient communication among stakeholders. He provides actionable insights and best practices to help data teams overcome these hurdles and become key drivers of revenue growth.

Speaker: Boris Jabes, CEO & Co-Founder, Census

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Using data to grow revenue is a lofty goal thrown around by most business leaders these days, but leaders (and the data teams that support their goals) often don’t have a clear understanding of what needs to happen on the ground to actually make this come to reality. Data teams are looking for the right combination of modern tools, best practices, and company culture to meaningfully impact their company’s goals and revenue.

In this panel discussion, Census CEO Boris Jabes, Carta VP of Data and Analytics Julia King, and ClickUp Head of Analytics Marc Stone will break down what it really means to operationalize your data to drive revenue, and what every company can do to make this a reality, no matter their team size.

Check the slides here: https://docs.google.com/presentation/d/1CDuaVUm3yxwbcjNXMv1JcAv9PdfZFM80kwbvl9yYRtU/edit?usp=sharing

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

Summary The focus of the past few years has been to consolidate all of the organization’s data into a cloud data warehouse. As a result there have been a number of trends in data that take advantage of the warehouse as a single focal point. Among those trends is the advent of operational analytics, which completes the cycle of data from collection, through analysis, to driving further action. In this episode Boris Jabes, CEO of Census, explains how the work of synchronizing cleaned and consolidated data about your customers back into the systems that you use to interact with those customers allows for a powerful feedback loop that has been missing in data systems until now. He also discusses how Census makes that synchronization easy to manage, how it fits with the growth of data quality tooling, and how you can start using it today.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own. And don’t forget to thank them for their continued support of this show! Struggling with broken pipelines? Stale dashboards? Missing data? If this resonates with you, you’re not alone. Data engineers struggling with unreliable data need look no further than Monte Carlo, the world’s first end-to-end, fully automated Data Observability Platform! In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Monte Carlo monitors and alerts for data issues across your data warehouses, data lakes, ETL, and business intelligence, reducing time to detection and resolution from weeks or days to just minutes. Start trusting your data with Monte Carlo today! Visit dataengineeringpodcast.com/impact today to save your spot at IMPACT: The Data Observability Summit a half-day virtual event featuring the first U.S. Chief Data Scientist, founder of the Data Mesh, Creator of Apache Airflow, and more data pioneers spearheading some of the biggest movements in data. The first 50 to RSVP with this link will be entered to win an Oculus Quest 2 — Advanced All-In-One Virtual Reality Headset. RSVP today – you don’t want to miss it! Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. By acting as a virtual hub for data assets ranging from tables and dashboards to SQL snippets & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Snowflake, Slack, Looker and more. Go to dataengineeringpodcast.com/atlan today and sign up for a free trial. If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription Your host is Tobias Macey and today I’m interviewing Boris Jabes about Census and the growing category of operational analytics

Interview

Introduction How did you get involved in the area of data management? Can you describe what Census is and the story behind it? The terms "reverse ETL" and "operational analytics" have started being used for similar, and often interchangeable, purposes. What are your thoughts on the semantic and concrete differences between these phrases? What are the motivating factors for adding operational analytics or "data activation" to a

Almost all of us are using our data warehouse to power our business intelligence, what if we could use data warehouses do even more?

What if we could use data warehouses to power internal tooling, machine learning, behavioral analytics, or even customer-facing products?

Is this a future we're heading for, and if so, how do we get there?

In this video, you'll join a discussion with speakers: - Boris Jabes, CEO of Census - Jeremy Levy, CEO of Indicative - Arjun Narayan, CEO of Materialize - Jennifer Li, Partner at a16z as moderator

Learn more about the speakers and their companies at: https://www.getcensus.com/ https://www.indicative.com/ https://materialize.com/ https://a16z.com/

Learn more about dbt at: https://getdbt.com https://twitter.com/getdbt

Learn more about Fishtown Analytics at: https://fishtownanalytics.com https://twitter.com/fishtowndata https://www.linkedin.com/company/fishtown-analytics/