Alli Data Explorer is a self-service analytics environment built on Alli’s governed data foundation. Teams slice, compare, and ask questions of their performance data in plain English, and see what changed and why, with no code and no new reporting cycle.
Dashboards are built around the questions someone knew to ask. When a new one comes up mid-campaign, it waits for a new view, another export, or an analyst with time.
A dashboard is built around questions known in advance. When a new one comes up, it goes to the back of the queue.
Every spreadsheet copy carries its own filters and formulas, so the same metric can mean three different things by Friday.
When every question is a request, analysts spend the week pulling data when they could be interpreting it.
A no-code workspace on governed data, with Ask Alli built in, so anyone on the team can slice performance and build a view without filing a ticket.
Pick a date range, choose columns, and add filters. The chart and the table update as soon as you change a filter, so anyone on the team can explore the data.
For your teamA question gets answered in the meeting where it was asked.
Plot any metric over time, pivot the table, and compare channels side by side. Data Explorer reads the same live data as every Alli dashboard, so you work from today’s numbers.
For your teamMedia teams find where a shift is concentrated and adjust while the campaign is still running.
Questions get answered in minutes. A custom report used to take days, and by then the campaign had moved on.
When everyone explores the same governed data, teams stop arguing about the numbers and start discussing what they mean.
Fewer repeat requests means analysts can focus on the deeper work that needs their expertise.
Misallocated budget, a broken campaign, or a sudden drop in engagement gets caught while there’s still time to fix it.
Who uses it
Walk into reviews with one version of performance.
Get a trusted answer when a number doesn’t add up, from the same governed data finance sees.
Investigate a mid-campaign shift yourself.
Find where a change is concentrated by channel, market, or creative, and adjust while the campaign is still running.
Pressure-test a hypothesis before it goes into the plan.
Explore trends across platforms, creators, and markets in one view, and check the idea against the data.
Spend the week on interpretation.
Routine cuts of data get answered by the people who have the questions, and finance reads performance from the same governed data marketing uses.
Ask Alli sits beside the data, and every view reads the same definitions as the rest of Alli.
Type a question the way you’d say it out loud, or pick a suggested one, like the top campaigns by impressions. Generate insights surfaces trends, top performers, anomalies, and comparisons from the data in view.
For your teamNew users get going on day one, with no data model to learn first.
Explore Ask AlliData Explorer runs on the data Datasources brings in and the Semantic Layer defines, so a total in Explorer matches the total in every dashboard. Save the view when it holds up, and export it when it needs to travel.
For your teamReviews start from one version of performance, so the meeting is about what it means.
Explore Semantic LayerFrom question to answer, on data that’s already connected and defined.
Data from platforms like Meta, YouTube, LinkedIn, and Pinterest sits alongside your own business data.
Pick a date range, columns, and filters to slice and compare.
Type the question in plain English and let Ask Alli build the view.
Generate a summary of what changed and why, or a one-slide recap you can present.
Save or export the view, or carry the insight into dashboards, audience planning, or creative work.
The questions that come up between scheduled reports, and what Data Explorer does with each one.
Have a question your reports don’t answer? Bring it to a walkthrough
Tableau and Power BI are valuable for structured reporting and known views. Data Explorer handles the questions that come up in between, and most teams use both.
| Static dashboards and BI | Spreadsheet exports | Alli Data Explorer | |
|---|---|---|---|
| Best for | Known, recurring reporting views | One-off analysis by whoever has the file | The question you have right now, and the next one |
| A new question | Wait for someone to build a new view | Pull another export and rebuild the logic | Filter, compare, or ask in plain English |
| Who can use it | Anyone can view, few can change | People comfortable with formulas | Anyone on the team |
| Trust in the numbers | Depends on how the view was built | Drifts with every copy | Linked to approved sources and shared definitions |
| What you get | A chart | A file | An answer, a view, and a summary of what changed |
Self-service only works when the numbers hold up. Data Explorer gives everyone access while the data team keeps control of what’s underneath.
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Every view is built on governed sources and the same definitions the rest of Alli uses.
Technical teams own sources, definitions, and access. Everyone else explores what those sources contain.
Each dataset links to its approved source, so when two numbers disagree, you can compare the sources directly and find the discrepancy.
The ideas behind Alli Data Explorer
What Data Explorer is, how it compares to the tools you have, and how teams get started.
Alli Data Explorer is a self-service analytics environment built on Alli’s governed data foundation. Teams can slice, filter, and compare performance data, ask questions in plain English through built-in Ask Alli, and generate summaries of what changed and why, with no code and no wait for a new reporting cycle.
No. It’s a no-code environment, so you don’t need a development or data science background. You can filter and compare data with point-and-click controls, or type a question in plain English and let Ask Alli build the view. Technical teams still own governance over sources, definitions, and access.
Tableau and Power BI are valuable for structured reporting and presenting known views. Data Explorer is built for daily discovery: the follow-up question, the mid-campaign investigation, the number that doesn’t match. Most teams use both. BI handles scheduled reporting, and Data Explorer handles the questions that come up in between.
Ask Alli is the AI agent that runs across every product in Alli. Data Explorer is the environment where you explore performance data in depth. Ask Alli is built into Data Explorer, so you can ask a question in plain English, then keep slicing, comparing, and summarizing the result in the same place.
Data Explorer draws on Alli’s connected data foundation, which brings together signals from media platforms like Meta, YouTube, LinkedIn, and Pinterest with your own business data. Every dataset links back to its approved source, so you can trace where a number came from and how it was defined.
Every view is built on governed sources and shared definitions, the same ones the rest of Alli uses. When two numbers disagree, like a publisher report and your internal figures, you can compare the sources directly and find the discrepancy. That’s how teams get to one version of performance.
No. It changes what analysts spend their time on. Routine questions and repeat cuts of data get answered directly by the people who have them, which takes pressure off the analytics queue. Analysts get more time for the deeper modeling, interpretation, and strategy work that needs their expertise.
Start with the question your team asks most often and can’t answer quickly. It’s usually a performance question that means pulling from several places or waiting on an analyst. Answer that one in Data Explorer first. Once the team trusts the answer, the next questions tend to follow on their own.
Book an intro and see Data Explorer answer the questions your team needs answered, on your own data.