Research shows 39% of national media outlets in 33 countries charged for online news in early spring 2020. ow.ly/J1uf50zS4wq Grzegorz Piechota

Being a registered user to a news site is found to be universally the most predictive feature indicated by five propensity to buy models. ow.ly/UMP350zXkEW Deep.BI Grzegorz Piechota

Two experiments carried by mid-sized publishers in Europe and in Asia show the promise of propensity models when applied to paywall targeting. ow.ly/Ignv50zXkEi Deep.BI Grzegorz Piechota

Targeted paywalls stop readers selected with advanced analytics techniques, such as data mining, statistics, modelling, and machine learning. ow.ly/7cEU50zXkEt Deep.BI Grzegorz Piechota

Make sure to join us in 30 mins at INMA's Digital Subscriber Retention Master Class today organized by Grzegorz Piechota where our Head of AI Engineering Michał will be presenting how #publishers can use data and #AI to build models which predict and prevent #churn! #subscriptions

.Jaguar, Land Rover Discovery and BMW all launch subscription services for their vehicles, citing extra features their customers can enjoy. Some early signs showing that people do NOT like this approach, more to be seen in the future. #subscriptions autoblog.com/2020/07/03/jag…

A reader's Loyalty Score is the biggest determining factor of that reader's propensity to churn according to Deep.BI, followed by long-term RFV (recency, frequency, volume) change and visit frequency. Get in touch to find out more! #churn #retention #subscriptions

.Deep.BI insight: The most predictive machine learning algorithm was the time since the first visit ever by a reader, or the tenure, measured by days and then translated into a loyalty score. ow.ly/RfFM50Aqb6c Grzegorz Piechota

Make sure to get in touch with us, Ahmad Eldefrawy or Sebastian Zontek if you'd like to learn more! If you miss the meetup make sure to check out DataOps Polska's YouTube channel for the upload.

In this #flinkforward talk, Michal Ciesielczyk from Deep.BI discusses how their team built a data pipeline with Apache Flink for use cases such as fraud detection, A/B test control, content scoring, and user engagement modelling. 👀📺: bit.ly/2KPqGVL

#ApacheDruid for #AI? Watch our talk at #DruidSummit about our open-source Spark Druid Connector that we've built to help data scientist make use of Apache Druid data. Dec 6, register for free! Imply

🔐Enhance the security of your #ApacheDruid deployment with Basic Role-Based Access Control (#RBAC). Learn how to implement RBAC in this comprehensive tutorial: deep.bi/blog/implement…. Follow us for updates & stay tuned for more insights on optimizing your Apache Druid setup.

Are you looking for a reliable open-source visualization tool for Apache Druid? 📊🔗 Then Grafana is the one to consider. Check out our comprehensive step-by-step tutorial on integrating with Grafana: 👉 deep.bi/blog/integrati… Discover how to create informative dashboards and

📊Monitoring Apache Druid in Grafana: Learn how to track essential metrics like query performance, indexing, and system health with easy-to-follow steps and sample dashboards in our latest tutorial: deep.bi/blog/monitorin… #DataAnalytics #Grafana #ApacheDruid #SystemMonitoring

📘 Learn how to integrate Apache Druid with Cube.js to implement fine-grained access control for secure multi-tenant data management with our new guide: deep.bi/blog/integrati… #DataSecurity #ApacheDruid #CubeJS #FGAC #ITSecurity #DataManagement #MultiTenancy #TechTutorial

Simplifying Druid monitoring just got easier! 🚀 Our team developed a solution using Druid, Kafka, and Grafana - no Prometheus needed. Streamline your data workflows and overcome monitoring challenges. Learn more in our latest blog post: deep.bi/blog/monitorin… #DataScience

New tutorial! Unlock real-time business insights with Apache Druid + Apache Superset — connect, visualize, and explore data at scale. 👉 deep.bi/blog/real-time… #RealTimeBI #ApacheDruid #ApacheSuperset #DeepBI

Data vanished in Apache Druid after ingestion? It might just be overshadowed. Learn how segment versioning works + how to restore older segments: deep.bi/blog/managing-… #ApacheDruid #DataEngineering #StreamingData #RealTimeAnalytics

StarRocks is fast. Backups at scale are not trivial. We’re introducing starrocks-backup-and-restore – a production-grade approach to incremental, partition-level backups with full metadata tracking. Why it matters 👇 deep.bi/blog/introduci… #StarRocks #DataEngineering #OLAP

Following up on our earlier blog post on production-grade backups for StarRocks, this article is a hands-on guide to running full & incremental backups and safely restoring tables with starrocks-backup-and-restore. 👉deep.bi/blog/productio… #StarRocks #DataEngineering