Self-Service Analytics for Property Management with Oracle Analytics
Oracle users can perform Self-Service Analytics within Oracle Analytics Cloud. In this Bitesize Analytics demonstration, we highlight Data Preparation, Data Visualisation, Storytelling, Sharing & Collaboration for a sample Property Management Project.
People-Centric Analytics for HR
Oracle users can perform People-Centric HR Analytics within both Oracle Analytics Cloud and Oracle Analytics Server for deeper insights.
How to Add and Configure Bespoke Visualisations to Oracle Analytics Cloud
Learn how to create bespoke visualisations in OAC with Bitesize Analytics.
Data Exploration and Data Preparation in ADW
Introducing the second instalment of our series of focused data science videos. This series aims to help you get a greater understanding of the Machine Learning functionality in Oracle Analytics Cloud. Part 3: How To Evaluate and Reuse the ML model in OAC If you have any questions, don’t hesitate to get in touch Follow […]
How To Evaluate and Reuse the ML model in OAC
Introducing the second instalment of our series of focused data science videos. This series aims to help you get a greater understanding of the Machine Learning functionality in Oracle Analytics Cloud. Part 2: How To Evaluate and Reuse the ML model in OAC Follow Us on LinkedIn
Vertice Team Win ODTUG Oracle Analytics Storytelling Challenge
Congratulation to Abigail Giles-Haigh, David Heraty, and Declan Ryan for winning the ODTUG ‘Oracle Analytics Storytelling’ Challenge! Global contestants were challenged to put their analytics, data visualisation, and data storytelling skills to the test in a 48-hour time limit. Click Here to view the full contest criteria. The Winning Submission
Applying Machine Learning in Oracle Analytics Cloud
Introducing the first in a series of focused data science videos. This series aims to help you get a greater understanding of the Machine Learning functionality in Oracle Analytics Cloud. Part 1: Applying Machine Learning in Oracle Analytics Cloud. Follow us on LinkedIn