Webinar: IRiS Live Demonstration
Join us to see how powerful but simple Data Vault automation can be
We will show you how to save time and money by building or updating a Data Vault in five simple steps with IRiS.
Upcoming live webinar dates will be announced soon. In the meantime, please fill in the form below to request the recording of a recent webinar.
Europe
Option 1:
Monday, 18 November | 9:30pm GMT | 10:30pm CET
Option 2:
Wednesday, 20 November | 7:00am GMT | 8:00am CET
North America
Option 1:
Monday, 18 November | 4:30pm EST | 1:30pm PST
Option 2:
Wednesday, 20 November | 2:00am EST
Tuesday, 19 November | 11:00pm PST
Australia
Option 1:
Tuesday, 19 November | 8:30am AEDT
Option 2:
Wednesday, 20 November | 6:00pm AEDT
Register via the form below.
Can't make either time? Register anyway and we will send you the recording afterwards.
Why you don't want to miss this webinar
Experience the power of Data Vault automation
Automating critical aspects of building and updating a Data Vault can save significant time and money while also reducing the risk of errors. However, you need the right automation solution.
IRiS is a new Data Vault 2.0 automation solution developed by Data Vault experts specifically for Data Vault. IRiS simplifies and speeds up the development of a Data Vault by enabling you to integrate data fast and consistently from almost any data source.
With IRiS, you can create or update a Data Vault in five simple steps via the simple and intuitive user interface.
Join us for this live webinar to see IRiS in action. The team will outline how IRiS works and show a live demonstration illustrating just how simple and intuitive the tool is.
Why IRiS?
Save time and money and reduce the risk of errors by automating your Data Vault with IRiS.
Results: Increased speed and reduced cost
By enabling users to integrate data from practically any source in a few simple and secure steps, IRiS significantly reduces the time and investment required to create and update a Data Vault.
These numbers can vary based on team size, experience, and the complexity of the modelling work.