Alli Generative Dashboards · AI dashboard builder

Generative dashboards that scale clarity across your team

Alli Generative Dashboards is an AI dashboard builder inside Alli. Describe what you want to see, or start from a sketch, screenshot, or template, and it builds an interactive dashboard on live, governed data. Anyone can create the view they need, and analysts can still add Python, SQL, or JavaScript for deeper logic.

Before Generative Dashboards

New questions wait in a reporting queue

A new question in a leadership meeting shouldn’t take two weeks to answer. In most BI workflows, it does, because every new view is a build.

01

Rigid by design.

Fixed dashboards are great for the questions planned in advance and slow for everything else.

02

Answers aren’t stories.

A single chart in response to a query still needs someone to turn it into a narrative for leadership.

03

The backlog grows.

Every new view becomes another request for an already busy team, while last quarter’s dashboards sit untouched.

What Generative Dashboards does

Describe the dashboard. Get it back working.

Build interactive dashboards from a question, a sketch, or a template, on live governed data, and keep refining them in conversation.

Build by describing

Build a dashboard by describing it.

Ask a question or describe the visuals in plain English, like “build an executive summary with the top KPIs across media,” and the dashboard comes back with KPIs, charts, and filters.

For your teamLeaders walk into the review with the view they asked for that morning.

What is conversational analytics?
Vision-based discovery

Start from a sketch, a screenshot, or a template.

Upload a whiteboard photo or an existing report, and Generative Dashboards rebuilds it as a working, shareable dashboard on your data.

For your team“Something like this” turns into a dashboard the team can use.

No-code creation

Anyone can build a fully interactive report.

Set the date range and filters, read the KPIs, and drill into a chart for every question, with no BI experience needed. Ask for a different cut or a month-over-month comparison, and the dashboard updates.

For your teamBusiness users answer their own questions, and analysts get their week back.

What changes

What changes when anyone can build the dashboard they need

01

Questions get answered in the meeting.

A new question becomes a dashboard in minutes, while the decision is still on the table.

02

Dashboards that keep up.

Teams refine a dashboard in conversation, so the view changes when the questions do.

03

Analyst time back.

Similar views stop getting rebuilt by hand, and analysts spend the hours interpreting the data.

04

Stories leaders can act on.

Dashboards combine charts, context, and summaries, so leaders see what changed and why.

Who uses it

Marketing leaders

Get the view before the meeting, or during it.

Ask for the view you need and walk into reviews with a clear story about what changed.

Account and client teams

Build the QBR in a sentence.

Build QBR and performance narratives with charts and summaries, without a multi-week build.

Media teams and analysts

One dashboard for campaign, creative, and audience.

Track outcomes in a dashboard that changes with your questions, and use pro-code when a view needs real logic.

Data and IT teams

Keep governance in place.

Approved data connections and role-based permissions stay in your control while more people build for themselves.

Built on governed data

Every dashboard reads the same definitions

Generative Dashboards run on the data Datasources brings in and the Semantic Layer defines, so a number on a dashboard matches every other report.

Pro-code flexibility

No code to start. All the code you want after.

Advanced users can add Python, SQL, or JavaScript to a chart for custom calculations, deeper logic, or automation, on the same governed data.

For your teamAnalysts spend their time on the views that need real logic.

Explore Semantic Layer
Use cases

What teams build first.

KPIs and trends on one page for a leadership review, sales and media spend together with the peaks called out, CTR against CVR by channel, and orders and installs by day, ready to share.

For your teamThe weekly summary leadership asks for builds itself from a sentence.

Explore Data Explorer
How it works

How do Generative Dashboards work?

Start with a sentence, a picture, or code, and Generative Dashboards builds a working dashboard on governed data.

  1. Describe or show it

    Type what you want to see, or upload a sketch, screenshot, or template.

  2. Generate the dashboard

    Alli builds an interactive dashboard with KPIs, charts, and filters, on governed data.

  3. Refine in conversation

    Ask for a different cut, a new chart, or a month-over-month comparison.

  4. Add depth if needed

    Analysts can embed Python, SQL, or JavaScript for custom logic.

  5. Share and act

    Share it under role-based permissions, and connect insights to follow-up workflows.

Use cases

What do teams build first with Generative Dashboards?

Most teams start with the dashboards they ask for every week, then build the views that never made it out of the queue.

Executive summary

  • Top KPIs across media
  • For leadership

QBR narrative

  • Performance by platform
  • Summary of what changed
  • For account teams and clients

Campaign performance

  • Spend
  • Sales
  • Creative performance over time

Cross-team view

  • Media results
  • Creative results
  • Audience results
  • For the weekly sync

Market and channel review

  • By market
  • By channel
  • This quarter against last

Ways to start

  • A question
  • A description of the visuals
  • A whiteboard sketch
  • A screenshot
  • A template

Have a dashboard request stuck in the queue? Bring it to the intro. Book an intro

The alternatives

Why traditional BI falls short

Traditional BI and query-based analytics each do part of the job well. Generative Dashboards builds complete dashboards on demand, from a sentence, a picture, or code.

Traditional BI (Tableau, Power BI)Query-based analytics (ThoughtSpot)Alli Generative Dashboards
How a view gets builtA developer designs and builds itYou query, it returns an answerYou describe it, sketch it, or start from a template
New questionWait for a new viewAsk, get a chart or numberAsk, get a full dashboard you can keep editing
OutputFixed dashboardsAnswers to specific questionsVisual narratives with charts, context, and summaries
Who can buildSpecialistsBusiness users, for single answersAnyone, with pro-code options for analysts
DataWhatever the model was built onWhatever is connectedAlli’s governed data, with role-based access

Self-service dashboards, with governance in place

More people build for themselves, and the data underneath stays approved, defined, and permissioned.

Security: the Alli platform holds a current SOC 2 Type II report and is aligned with the NIST Cybersecurity Framework (CSF). Request the report See security details

  • Governed data foundation.

    Every dashboard draws from Alli’s data foundation, using approved data connections and shared definitions.

  • Role-based permissions.

    Permissions control who can see which data, so nobody sees data they shouldn’t.

  • Pro-code when it counts.

    Python, SQL, and JavaScript sit alongside plain language for custom calculations and automation.

Generative Dashboards questions, answered.

How dashboards get built, how they stay governed, and how they fit with your BI tools.

  1. What is Alli Generative Dashboards?

    Alli Generative Dashboards is an AI dashboard builder inside Alli. You describe what you want to see in plain English, or upload a sketch, screenshot, or template, and it builds an interactive dashboard on Alli’s governed data. Anyone can build without code, and advanced users can extend dashboards with Python, SQL, or JavaScript.

  2. Can AI really build a dashboard from a sentence?

    Yes. Type a request like “build an executive summary with the top KPIs across media,” and Generative Dashboards creates the dashboard with KPIs, charts, and filters. You can then ask for changes, such as a month-over-month comparison on one chart, and the dashboard updates. Nobody opens a chart editor or files a request.

  3. Do I need SQL or technical skills to use Generative Dashboards?

    No. Most dashboards are built entirely in plain language or from a sketch, screenshot, or template. Analysts who want more control can embed Python, SQL, or JavaScript for custom logic, calculations, or automation, so the tool works for business users and technical users alike.

  4. How is Generative Dashboards different from Tableau or Power BI?

    Tableau and Power BI are strong for structured reporting once data models and views are built. Generative Dashboards builds new dashboards on demand from natural language and visual inputs, which reduces dependency on a reporting backlog. Many teams keep their BI tool for standardized reporting and use Generative Dashboards for new questions and narratives.

  5. Is the data in Generative Dashboards governed?

    Yes. Every dashboard draws from Alli’s governed data foundation, using approved data connections and shared definitions. Role-based permissions control who can see which data, so more people can build dashboards without anyone seeing data they shouldn’t. Data and IT teams keep control of sources and access.

  6. Can I build a dashboard from a sketch or screenshot?

    Yes. Vision-based discovery turns a whiteboard sketch, a screenshot of an existing report, or a template into a working, interactive dashboard on your data. It’s the fastest way to go from “something like this” to a dashboard the team can use, and you can keep refining it in conversation.

  7. What’s the difference between Generative Dashboards and Data Explorer?

    Data Explorer is for investigating data: slicing, filtering, and asking follow-up questions. Generative Dashboards is for building and sharing views: executive summaries, campaign trackers, and QBR narratives. Many teams find the answer in Data Explorer and turn the view they keep returning to into a dashboard.

  8. Where should a team start with Generative Dashboards?

    Start with the dashboard request that’s been sitting in the queue the longest, or the executive summary your leadership asks for every week. Describe it in a sentence and see what comes back. Once the team sees a request turn into a dashboard in minutes, the backlog starts clearing itself.

Alli Generative Dashboards

Tell it what you want to see.

Book an intro and bring the dashboard request that’s been stuck in the queue. We’ll build it with you, live, on your data.