CastorDoc

Data Catalog et GenAI, recette miracle vers le Self-Service Analytics ? Notre CEO, Tristan Mayer, a répondu à cette question sur le podcast Datagen au micro de Robin Conquet. Au menu :  - Les fonctionnalités clés de notre solution (ex : la brique de Search) - Pourquoi le Data Catalog est nécessaire aux cas d’usage “text-to-insight” - L’évolution du marché : du Data Catalog vers le Self-Service Analytics Le lien vers l'épisode ici ! 👇 https://lnkd.in/eS6ViVGA

🎯 Is Your Data Strategy Falling Short? Data-driven companies see stronger financial performance, but 3 common data discovery challenges keep others from reaching success: ❌ Data Silos: Teams are working in isolation, and data is stuck in departmental "islands." ❌ Lack of Context: Without clear information, teams waste time figuring out data origins. ❌ Trust Issues: Poor data quality can waste up to 25% of your budget. Companies like JWP (JW Player) overcame these challenges with CastorDoc by: ✅ Centralizing data access ✅ Boosting transparency ✅ Automating data discovery Their result? 50% fewer data-related questions and smoother teamwork. If these challenges sound familiar, see how CastorDoc can help by reading our success stories in the comments!

End-to-end lineage: you've certainly heard of it, but can you compute it? This is the topic of our latest article. As organizations scale their data infrastructure, implementing end-to-end lineage has become critical for maintaining a holistic view of the data. This piece outlines the approach to computing cross-tool lineage across your organization: ✓ Source to Warehouse: Track your data's journey through ETL/ELT processes using both tool metadata and SQL parsing. For real-time data, you'll need additional stream processing tracking. ✓ Warehouse Transformations: Monitor how your data evolves through business logic layers, creating a central hub that connects upstream sources to downstream consumers. ✓ Dashboard Integration: Combine SQL parsing and API-based detection to understand how data flows into your BI tools, whether you're using Tableau, Looker, or PowerBI. Want to dive deeper? Find the full article in the comments. Enjoy the read! #DataLineage #DataGovernance #Analytics #DataEngineering #Lineage #Datacatalog

🚨 The Hidden Cost of Cheap Storage is Data Clutter Stephen Bailey points out a growing issue: with storage so cheap, data teams are holding onto outdated dashboards, documents, and files without a clear strategy. The real fix lies in changing our approach to how data is handled. The future of data management isn't about how much data leaders can store—it's about how strategically they can curate. 👉 Full article here: https://lnkd.in/e84Mwqh4

Happy Halloween from CastorDoc! 👻 What's the scariest thing you could say to a Chief Data Officer in one sentence? 🎃 Tell us your data horror stories in the comments below! 

🎃 Like a perfectly carved pumpkin, our October Data LLM Newsletter is here to brighten up your spooky season! On the menu: ✓ One data tool worth digging into as a data person: Lightdash, the open-source BI platform that raised $11M Series A with 80% of their daily active users being non-data team members. ✓ A selection of key articles we read this month, including "Clutter is the cost of cheap" by Stephen Bailey on rethinking data management and Benn Stancil's "Something lost, something found" on dbt's evolution from community-driven to corporate maturity. ✓  Show and Tell: Our new CastorDoc x Tableau Pulse Integration, bringing AI-powered analytics governance to help secure your AI analytics journey. ✓  Our Article of the month written by our team on "How to Calculate End-to-End Lineage" breaking down technical approaches to cross-tool lineage calculation. Bonus: We're attending the Forward Data Conference in Paris on November 25, 2024. Enjoy the read!

These 3 questions keep data leaders up at night: 💭 "How will changing this data source impact our reports?"  💭 "Are we fully compliant with privacy regulations?"  💭 "Why don’t our forecasts match actual results?" Data lineage is the key to unlocking clarity and control, helping teams make smarter, faster decisions by mapping data flows and dependencies. In the carousel below, discover 6 use cases where data lineage tackles these challenges head-on. #DataLineage #DataStrategy #DataTeams 

How did PayFit save 3 workdays with a single data cleanup? That's the story we shared two weeks ago at BIG DATA & AI PARIS, alongside Olivier Détriché (PayFit's Lead Analytics Engineer) and our COO Xavier de Boisredon. Here's what happened when PayFit embraced robust data documentation: 📈 ROI Snapshot: - Eliminated 300 unnecessary tables - Saved 2-3 full workdays - Streamlined decision-making processes - Reduced storage costs But numbers tell only half the story. The real transformation came from how teams now interact with their data - more efficiently, more confidently, and more strategically. Want the full story? Check out our detailed case study in the comments #DataTransformation #Analytics #SuccessStory #BigData

📍 Missed Coalesce 2024? Here’s Your Insider Access! As proud sponsors of Coalesce 2024, we’re thrilled to share the latest episode of the Analytics Engineering Podcast 🎧 featuring Scott Breitenother, founder of Brooklyn Data Co. (a Velir company), in conversation with Tristan Handy. In this episode, they dive into: - The shift from Excel experts to modern data teams - Why the modern data stack was a "once-in-a-lifetime" wave - The real impact of AI on data consultancy - How the dbt community is transforming data culture 🎧 Tune in here: https://lnkd.in/gkMQ67By

What if your team could access the right data in seconds instead of hours? 📊 In just 30 days at the Forward Data Conference 2024, CastorDoc will demonstrate how our AI-powered data catalog transforms how teams work with data. As a Gold Sponsor, we're bringing our expertise in: ✓ Simplifying data discovery ✓ Speeding up decision-making with reliable insights ✓ Empowering your entire organization with easy, secure access to data Stop by our booth to see how top companies are using CastorDoc to turn data complexity into a competitive advantage.