Tableau would finally fully support the creation of enterprise level data models that can be leveraged in very flexible ways and managed in a centralised manner. This feature makes the logical data layer introduced a couple of years ago more comprehensive and very powerful. Shared dimensions enable more flexible multi-fact data models where multiple fact tables can relate to shared dimension tables. In the future, Salesforce could use data accelerated by Tableau data engine in their Salesforce Clouds via VizQL Data Service.įrom an analytics developer point of view, the most interesting single feature showcased in TC23 (originally introduced in TC22) was shared dimensions (or multi-fact models) s upport. This feature might be somewhat related to the fact that Salesforce is using Tableau hyper data models within its Data Cloud offering to boost analytics possibilities. This would provide a lot more flexibility when creating data-related products and solutions where you need to use data & analytics. This means you can connect directly to the Tableau backend data model (hyper engine) to query the data without the need of building frontend visualisations with Tableau. Possibly a bit more surprising feature is the upcoming VizQL Data Service that takes Tableau towards composable analytics or headless BI. Metrics are easier to create, more powerful and they can be used around Tableau: in Pulse, dashboards, emails, Slack and mobile.
The redesigned metrics layer seems to be much more flexible than before. It has a very appealing UI to combine metrics, visualisations, descriptive information and Tableau GPT based additional insights & interactions. Tableau Pulse might be a bigger thing than you first think. On the other hand, it doesn’t mean the feature wouldn’t be very useful, it might be quite the opposite.
Tableau Iron Viz vibes in TC23 (photo credit Sharad Adhikari).īut what about the features? Tableau GPT is a very interesting new feature but in a way it isn’t very unique considering almost every organisation is talking about language models and generative AI. One of the conference highlights was once again Iron Viz visualisation competition, this year’s winner was Paul Ross with his magnificent renewable energy dashboard. Ryan revealed Tableau success plan for all customers coming later this year to listen and support customers more closely. The new CEO of Tableau, Ryan Aytay, also thanked the community, customers, partners and employees for their support. ”A new day for data” was used as a title for the upcoming introductions to suggest there is something big and impressive coming out.
Francois emphasised the role of Tableau and Tableau community as a key innovator in easy-to-use self-service analytics. TC23 keynote was started by Chief Product Officer Francois Ajenstat with the celebration of Tableau’s 20 years long journey.
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