Speaking of bad martech decisions, CabinetM is helping marketers cut their losses by alerting them when contracts on unused systems are about to auto-renew. CabinetM offers a variety of tools and services to help marketers manage their technology.
We reported last week that Amazon was sharing its personalization algorithms. Today it’s Google’s turn: they have launched BigQuery ML, which builds machine learning models on data in the BigQuery data store. Users must know SQL but not Python or Java. Google even provided “tutorial-like” templates for customer segmentation, lifetime value prediction, and conversion prediction. So bright…so shiny…
Oracle’s announcement makes a tantalizing promise to “rethink the CDP market”. But its actual news is that Accenture and Capgemini will deliver CDP support services. You may think that stressing how hard it is to deploy their product would be pretty poor marketing but that’s why they’re Oracle and you’re not.
No one really doubts that real-time data is useful, but here’s more concrete data in case you’ve been arguing the point: this Confluent survey of IT leaders finds 63% of companies with widespread access to real-time data showed 10% or higher revenue growth, compared with just 44% of companies with only some access grew as fast. Integrating multiple data sources was the most common obstacle to real-time access, cited by 60% of respondents.