Meet Tableau Next: Analytics That Works Where You Do

Most teams don’t struggle to produce data — they struggle to act on it in time. The dashboard exists, the numbers are all there, but the insight that would have changed a decision arrives a day or a week too late, buried in a report nobody had time to open.

Tableau Next is built to close that gap. It’s the newest evolution of Tableau, and it represents a real shift in what an analytics platform is for: not just charts you go and look at, but an intelligent layer that brings the right insight to you, in plain language, at the moment you need to make a call.

Here’s a quick introduction to what it is and how it can help your team.

What is Tableau Next?

Tableau Next is Salesforce’s agentic analytics platform. Rather than only visualizing data, it delivers personalized, contextual, and actionable insights everywhere work happens. Built on a composable, API-first architecture with a unified data layer and trusted semantics, it’s designed to get every user — not just analysts — from raw data to a confident decision faster.

Because it’s built natively on Salesforce and powered by Data 360 as its unified data layer, it brings enterprise-grade security, compliance, and the ability to unify customer data for analysis without the usual stitching-together of exports from a dozen systems.

What it means for your business

A few capabilities stand out for the clients we work with:

Everyone acts on the same numbers. The most expensive disagreements in a business are the ones about whose figure is right. Tableau Semantics — an AI-infused semantic layer deeply integrated with Data 360 — gives your people and your AI agents one trusted, unified view of the business. So when someone asks “how many active customers do we have?” or “what was net new revenue last quarter?”, everyone is working from one agreed definition, not three spreadsheets that quietly disagree. And because AI helps build that model, you get to that shared foundation far faster than before.

Answers arrive in seconds, not in a backlog. With Tableau Agent, teams can ask questions about their data in plain language, get proactive insights surfaced automatically, and prepare data far faster — so decisions get made with confidence instead of waiting in a queue for someone to build a report.

The gap between knowing and doing disappears. Seeing a problem is only useful if you can act on it. Beyond the self-service exploration and visualization you already know, Tableau Next lets you take action directly, with an enterprise workflow capability built into the platform — closing the loop between spotting something and doing something about it.

Insights meet your team where they already work. People shouldn’t have to go hunting for analytics. Live, permission-aware metrics and dashboards show up right inside Slack – in channels, DMs, and canvases – where teams can ask questions in natural languages and get instant answers, then jump into Tableau Next when they want to go deeper.

Your existing Tableau investment keeps paying off. This isn’t a rip-and-replace. Tableau Next is part of a unified, interoperable portfolio, and you can connect to Tableau Semantics from Tableau Cloud and Server — so the trusted data and dashboards you’ve already built keep delivering value as you adopt agentic analytics.

Why now

The shift to agentic analytics is already underway, and the advantage compounds. Organizations building a trusted data foundation today are the ones whose teams — and whose AI agents — will be making faster, better-grounded decisions while others are still reconciling spreadsheets.

Let’s talk. Whether you’re simply curious about what agentic analytics could mean for your organization, or you’re already planning a rollout, we’d welcome the conversation. Reach out at [contact email / link], and we’ll walk you through a live demo tailored to your team and help you figure out whether a Jumpstart is the right first step.

Where we come in

Adopting agentic analytics is rarely just a licensing decision — the value shows up when the foundation is right, so your team feels the benefit in weeks, not quarters. That’s exactly the kind of work our team focuses on.

To make the first step low-risk, we offer a Tableau Next Jumpstart: a fixed-scope, four-week engagement that takes you from classic dashboards to agentic analytics. We run a discovery workshop to pin down your highest-value use cases, set up your key data sources, build one executive-ready dashboard on a unified semantic model, and train your team to be self-sufficient from day one. You walk away with something working — and a clear view of what to scale next, because the Jumpstart is a starting line, not a finish line.

Want to see it for yourself? Explore the official Tableau Next product page or get in touch and we’ll walk you through a demo tailored to your team.

Posted by Akihiko Katayama in Tableau, 0 comments

Webinar: How Analytical Data Virtualization Contributes to 100% Data Quality

Join us for a one hour webinar on How Analytical Data Virtualization Contributes to 100% Data Quality

Your company’s data is the foundation of every business decision, and the quality of this data has a significant impact on what it can do, and how well it can do it. Poor quality data weakens an organisation’s competitive standing, business intelligence, operational efficiency, and undermines critical business objectives, ultimately destroying business value.

Learn more about the importance of Data Quality and why your approach should be a framework that requires consolidation across People, Process and Technology.

We’ll discuss and demonstrate how Zetaris has been designed to integrate with existing enterprise technologies, platforms, and business processes, creating and adopting a single unified enterprise-wide Data Quality and Exception Management Framework that drives towards 100% data quality.

When: Wednesday 22nd September 12:00PM – 1:00PM (HK, SG time)

Join here: Zoom link

Learn More

If you would like a custom presentation on how Zetaris and Sprint Milestone work together to help you eliminate data redundancy and create a single, unified view of your data without moving, ingesting or duplicating data, click here: speak to us for a consultation.

 

Join Zoom Webinar Here
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Dataverse 3.1.7 Released

Lavastorm have been busy moving their agile data management platform into a web based user interface, adding new functionality and improving usability. The video below highlights just some of the features available in the latest iteration:

  • Browser based interface
  • Wizard based business rules
  • Industry standard scripting language (python) so if you do need more flexibility than the wizards provide it is now even easier

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Posted by Akihiko Katayama in Dataverse, 0 comments

Linear Regression modeling with Tableau

Tableau despite being an excellent tool to quickly visualize the data can also be used for creation and verification of Linear regression models used for predictive analytics. The ability of Tableau to integrate with external statistical languages like Python or R allows it to use the Regression models built in those languages to directly be used in Tableau.

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Posted by Akihiko Katayama, 0 comments

SQL vs NoSQL Database

Difference between SQL and NoSQL

It is widely known that 80 percent of the world’s data is unstructured or semi-structured data, NoSQL concept has beceome more and more popular. This artical help you understand basic difference between SQL and NoSQL data and which database should you choose to use.

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Posted by Akihiko Katayama, 0 comments
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